Employers today are facing one of their toughest challenges yet: finding and keeping the right talent. The pandemic has reshaped how people view work, accelerating trends like remote working, shifting expectations around flexibility, and placing greater value on mental health and wellbeing. Skilled employees, especially, are therefore more selective about the organisations they choose to join and stay with, and they also have more options. As a result, the competition for great talent has intensified.

In this current landscape, employer branding is no longer about glossy recruitment campaigns; it’s about delivering a consistent and meaningful employee journey. From the first interview to the last day of employment, every interaction matters. This is where artificial intelligence (AI) is beginning to make a real difference. By bringing scale, speed, and personalisation to these touchpoints, AI enables organisations to create journeys that are smoother, fairer, and more aligned with their brand purpose. And in doing so, companies can strengthen their reputation, deepen engagement, and turn employees into authentic advocates of their brand(s).

The opportunity for brands therefore, lies in how thoughtfully they adopt these tools. Organisations that use AI to genuinely enhance transparency, fairness, and personalisation will stand out in a crowded talent market. Rather than treating AI as a cost-saving measure like most, forward-looking employers are applying it to bring their values to life, demonstrate care for their people, and design experiences that feel both human and modern. With the right approach, employer branding that leverages AI can truly distinguish an organisation and inspire people to stay and grow with it.

Why the Employee Journey Matters in Employer Branding

The employee journey is the complete experience someone has with a company, from applying for a role, through growth and development, to the day they leave. Every interaction, large or small, shapes how people feel about working there.

Ultimately, it is what employees experience, not what companies say, that defines the employer brand. When experiences are positive, employees can become advocates who reinforce the brand through their stories in and outside the company. When they are negative, the brand’s reputation suffers, making it harder to attract and retain talent.

Here is where AI makes a difference. It can personalise experiences so people feel valued as individuals, create fairer and more consistent processes that build trust, and remove everyday frustrations to free up time for meaningful work that contributes toward the company’s purpose. In short, AI helps turn a company’s purpose into something employees can truly feel in their daily work.

AI at Work: Enhancing Every Step of the Journey

1. Hiring: Making the First Impression Count

Recruitment is often the very first touchpoint of an employee’s journey, and it sets the tone for everything that follows. A slow, confusing, or impersonal process can discourage strong candidates before they even step through the door, while a smooth and engaging experience can spark excitement and trust from day one. That’s why many brands are investing in AI-powered solutions to transform how they attract, evaluate, and connect with talent.

Conversational AI platforms like Paradox and Eightfold automate early stages such as CV screening, candidate queries, and interview scheduling. This ensures timely communication, avoiding days of silence that frustrate candidates. Workday’s acquisition of Paradox shows how mainstream these capabilities have become.

There are also visible results in well-known organisations. Unilever has adopted game-based assessments (via Pymetrics) and AI video interviews to evaluate potential candidates in a fairer, more engaging way. The change has cut recruitment time by 75% and doubled the diversity of hires. Hilton Hotels uses AI chatbots to handle high-volume seasonal hiring, screening and scheduling applicants in days rather than weeks. IBM, through watsonx Orchestrate, enables AI agents that automate and streamline HR workflows, while integrating governance tools (e.g. watsonx.governance) to help monitor fairness, mitigate bias, and ensure transparent, auditable decisioning.

Together, these examples show how AI can make recruitment faster, fairer, and more transparent. When organisations place emphasis on skills and potential rather than background or demographics, they signal inclusivity and respect. Consistent updates and responsive communication give candidates the sense that their time and effort are valued, while streamlined processes remove unnecessary hurdles that often cause frustration. Recruitment then becomes much more than an administrative step; it becomes a defining moment where candidates get a first, powerful impression of the brand’s culture, values, and credibility.

2. Onboarding: Setting the Tone for Belonging

Onboarding is more than paperwork and IT access; it’s the moment when employees begin to understand what an organisation and its brand stand for. The first days should clearly communicate brand purpose and values, showing how they come to life in the culture, behaviours, and everyday work process. When new hires see that alignment early on, it builds trust, pride, and belonging.

AI is helping brands deliver this consistently by making onboarding more intuitive, personalised, and aligned with company culture. Intelligent chatbots and digital assistants can guide new hires through practical essentials, such as answering questions about policies, payroll, or IT logins instantly. Platforms like Docebo and EdCast create adaptive learning paths that not only cover role-specific training, but also embed brand values through curated content, case studies, and examples of the organisation’s mission in action. This ensures new hires don’t just learn what to do, but also why it matters.

Some companies are going further, by experimenting with AI-driven mentor matching, pairing new hires with colleagues whose experience and personality are most likely to help them settle in. Feedback platforms such as Culture Amp or Degreed extend this beyond the first weeks by monitoring whether employees feel connected, supported, and culturally aligned.

The impact goes beyond efficiency. Studies suggest AI-enhanced onboarding can boost retention by more than 80% and cut time-to-productivity by two-thirds. But the true benefit for employer branding lies in positive word-of-mouth: when employees feel welcomed and supported from day one, they are far more likely to share those experiences publicly and commit to the organisation long term. Onboarding becomes not just a process of getting started, but a brand-defining moment that turns values into lived experience.

3. Smarter Work Experience through AI Integration

Across industries, AI is being adopted at scale to reshape the way employees experience their daily work. No longer limited to back-office functions, AI is integrated into core workflows such as resolving service requests, streamlining knowledge access, and strengthening performance management. These solutions are practical, widely available, and increasingly essential in hybrid and global workplaces. By removing friction points and making processes more consistent, AI helps organisations create fairer, faster, and more engaging work experiences while aligning employees more closely with organisational goals.

Collaboration & Support:
Platforms like Moveworks use AI chatbots to resolve IT and HR service requests instantly. By cutting through bottlenecks and frustrations, employees can redirect their energy to more purposeful, value-adding work. This shift signals that the organisation respects their time, reducing the mental load of “administrative clutter” and creating space for innovation and creativity.

Knowledge Management:
Tools like Glean enable AI-powered enterprise search that centralises organisational knowledge and makes it instantly accessible across teams. For hybrid and remote workplaces, this breaks down silos and ensures that everyone, no matter where they are, can contribute and learn equally. The effect is a more level playing field, where decisions are made faster, collaboration flows naturally, and employees feel more connected to the organisation’s goals.

Performance & Recognition:
Solutions such as Kazoo and TalentGuard integrate recognition with performance management, surfacing achievements and mapping out personalised growth pathways. By making contributions visible and aligning them with development opportunities, AI helps employees feel valued not just for what they do, but for who they are and the potential they bring. This creates a culture where recognition is fair, growth feels attainable, and people see a future for themselves within the organisation.

Together, these innovations turn mundane routine interactions into meaningful experiences. AI does not just make processes faster, it makes work more human. Employees feel supported, trusted, and seen, which strengthens loyalty, boosts engagement, and reinforces the organisation’s reputation as a place that genuinely values its people.

4. Navigating Organisational Change

Change is an inevitable reality for every organisation. Markets evolve, technologies advance, customer expectations shift, and businesses must continually adapt to stay relevant. Whether it involves adopting new digital tools, restructuring teams, or redefining strategic priorities, these transitions shape not only how an organisation performs but also how its people perceive it. For employees, change often comes with uncertainty, disruption to familiar routines, and new expectations that must be learned and embraced.

AI is starting to reshape this process by offering leaders clearer visibility into how employees are responding, predicting where challenges may arise, and providing timely, personalised support. AI transforms change management from a reactive process into a proactive one. This turns organisational change into an opportunity to build trust, strengthen culture, and show employees that they are valued partners in the journey forward.

Several platforms are already putting this into practice. Humu uses AI to send people small reminders, called “nudges,” that suggest helpful actions during times of change. For example, it might remind a manager to check in with their team, encourage someone to share information more openly, or prompt an employee to take care of their wellbeing. Over time, these small steps add up to healthier habits and smoother transitions for both employees and managers.

Meanwhile, Sociabble makes change a more collaborative process by providing employees with a platform to share ideas, vote on suggestions, and give feedback in real time. This involvement helps people feel like they are actively shaping the organisation’s future, rather than simply being told what to do.

Industry analysts like Gartner note that more HR leaders are now turning to AI to improve communication and support during change, showing that these tools are no longer niche solutions but are becoming part of standard practice.

When AI is used to keep employees informed, supported, and actively involved in change, it helps them see the organisation as transparent, modern, and people-centred. This not only makes transitions smoother but also strengthens culture, builds trust, and reinforces the organisation’s reputation as a place where employees can thrive long term.

5. Exit: Parting on Good Terms

Leaving a company is more than just paperwork. It is the final impression that shapes how employees remember their experience. If the exit feels rushed or uncaring, people may leave with frustration that could spread through word of mouth. But when it is handled with respect, employees walk away with closure and appreciation, often becoming advocates, future collaborators, or even potential rehires.

AI is helping organisations manage this stage with greater care and insight. For example, CloudApper hrGPT and Specific can analyse exit interviews in real time, surfacing recurring themes such as concerns about career growth or management style. These insights give leaders a clearer picture of why people are leaving and what can be improved. Meanwhile, platforms like Eletive use predictive models to spot early signs of disengagement, such as changes in participation or feedback patterns. This allows managers to step in before issues escalate, reducing the likelihood of sudden resignations.

When exits are managed thoughtfully, employees see that their feedback matters right up to the end. They leave knowing the organisation values people at every stage of the journey. Alumni who part on good terms are more likely to recommend the company, speak positively about it, or even return in the future. In this way, a well-handled exit is not just about closing a chapter, it is about leaving the door open.

The impact of AI on Employer Branding

AI is reshaping employer branding by making the employee journey more seamless, personalised and meaningful. Across every stage, it reduces friction in processes and creates experiences that help people feel supported, recognised and connected. In this way, AI allows organisations to bring their purpose and values to life in ways that employees can clearly see and experience. For example, a company that values fairness can use AI to remove bias from recruitment and promotion decisions. A brand that champions growth can apply AI to recommend learning paths tailored to each individual. And organisations that want to build cultures of appreciation can use AI to prompt timely recognition of everyday achievements. These tangible actions show employees that the company’s values are not just words on a page, but principles that guide how people are treated.

For employer branding, the significance of AI is clear: it is not a replacement for human connection but a way to make those connections stronger and more meaningful.  By taking over repetitive tasks and offering deeper insights, it gives leaders and teams the space to focus on empathy, trust and authentic relationships. When technology and humanity are balanced in this way, organisations not only become more efficient but also create workplaces where people are proud to belong. This is how AI becomes a powerful force for building stronger and more authentic employer brands.

The post Issue 53: Q3 2025 appeared first on Tangible.

When generative AI first exploded onto the public scene in 2023, it was in the form of language models like ChatGPT, Gemini, and Perplexity. At the time, creatives scoffed at the idea of computer programs creating images, 3D models, and animations from mere prompts. Art, it seemed, would be the last bastion of human ingenuity, untouched by ones and zeroes. Yet in a few short years, AI has evolved into image and video generators in the form of Midjourney, DALL-E, and Sora, essentially reshaping brand’s creative communications. But, fear not! The emergence of Artificial Intelligence is more boon than bane. Below, we will explore the benefits and concerns these programmes bring to creative design in the wonder-filled world of branding.

 P.S. – For the purpose of this article, all images were generated with AI tools (Gemini, ChatGPT, Midjournery) and shaped through human prompts and curation.

Positive Impacts

Image generated by ChatGPT

The world is evolving rapidly and we must keep up or fall into obscurity. For brands, this means redefining their marketing & communications roadmap with AI-driven software to stay ahead of market trends and consumer behaviours. For creatives in branding, this means up-skilling and integrating their processes with technology. By balancing the power of AI with natural creativity, creators can enhance their workflows, push the boundaries of innovative design, and drive success for brands.  

1. Enhance Your Workflow

Image generated by Midjourney

From image resizing and alignment, to asset selection and colour correction, AI automation has the potential to save designers and branding agencies countless hours on repetitive tasks. Adobe Sensei, now embedded into Adobe’s creative suite, helps designers automate tasks like image/video editing, text kerning, asset alignment, and content personalisation. By streamlining the workflow, companies can cut costs on production and brand designers are free to focus on developing more innovative creative strategies.

2. Pushing the Boundaries of Creativity

Image generated by Midjourney

Beyond automation, AI can also be a source of inspiration. Today, creatives can feed mood boards or drafts into Midjourney, Sora, or ChatGPT and instantly receive curated colour palettes and layouts. They can bounce ideas off generative neural networks that spit out fully rendered logos and illustrations based on current market trends and preferences. This means brands can explore multiple creative directions without sacrificing time or effort, resulting in the most effective designs for each project. 

3. Personalisation and Data-Driven Designs

Image generated by Gemini

AI is also reinventing the way we approach design. By analysing user data, it can understand individual preferences to develop more effective, more targeted communications. But, what does this mean for branding? Simply put, it means companies and creatives can significantly increase digital customer engagement with their brands. More than ever, consumers expect brands to speak directly to their tastes and preferences, rather than issue blanket messages directed at large demographic groups. To this end, brands can utilise AI’s analytical capabilities to measure which features and design elements are most effective in generating engagement from specific customer profiles, and use this data to optimise their creative applications.

Designers can also leverage AI to conduct A/B testing of visual concepts and identify which assets will be most effective with their target markets before launching a campaign.

Explore how AI is transforming visual communications here.

4. Accessibility

Image generated by Gemini

Finally, creatives can employ AI to increase accessibility to their brand. Text generators can provide captions for video or audio content, while voice-based tools can describe visuals for users with visual impairments. By integrating technology with their design processes, brands can extend their reach and tap into previously hard-to-reach markets.

Challenges & Opportunities

Image generated by ChatGPT

As with all great technologies, AI has its limits. From job displacement to over-reliance and accountability, brands and designers must understand how to leverage AI without falling victim to its over-promises.

1. Job Loss

Image generated by Gemini

AI’s impact on the job market is becoming more disruptive. As its capabilities continue to grow, the threat on traditional employment is growing far more significant. This is especially true for junior creatives and designers, whose work is traditionally relegated to more repetitive tasks.

But AI is not just replacing jobs, it’s also creating new ones. Artists and designers who learn to integrate AI into their design process can position themselves at the front of the proverbial pack. For instance, AI prompt engineering and AI-assisted creative roles in UX design and 3D modelling are becoming highly sought after skills. Designers who can up-skill and take advantage of AI’s abilities will thrive in the new digital landscape. Similarly, brands that push their creatives to embrace the new technology, nurturing their skills to integrate AI into their workflows, will stay ahead of the curve and outshine their competition.  

Read more about AI’s impact on graphic design roles here.

2. Over-Reliance

Image generated by Gemini

On the other end of the spectrum, agencies that rely too heavily on AI will notice a decline in genuine creativity and effectiveness. In its current state, AI is unable to interpret nuance, understand human culture, and develop original ideas. Depending too much on AI will result in creative stagnation and erosion of brand authenticity. Remember: human creators possess the keenest eye and the deepest understanding of human emotion and context. 

And, therein lies the opportunity. We’ve just started tapping into the potential of marrying human ingenuity with silicon intelligence. Embrace every chance to automate repetitive tasks, so designers are free to focus on what really matters: developing innovative creative strategies that solve problems. 

In the end, AI should amplify creative vision, not replace it. When technology becomes the driver, authenticity and nuance fall by the wayside. With the right balance of AI and human perspective, brands will form deeper, more meaningful connections with their audience.

See how Canva is leveraging AI to enhance workflows here. 

3. Ethical Considerations

Image generated by ChatGPT

Determining the ownership of AI work can be complicated. Brands must take extra care when using generative AI software. Uncredited training on copyrighted work can risk infringement, while fully AI-generated assets may not be eligible for copyright protection. 

That being said, the number of tools in the toolbox has grown exponentially. AI can scour the internet for alternative styles and test potential solutions, enabling brands to explore multiple creative directions simultaneously. By establishing robust guidelines on appropriate AI usage, brands and creators can push the boundaries of innovative design, while staying on the right side of intellectual property laws.  

So What Should Brands Do?

Image generated by Gemini

For all its promises, AI is only as effective as the humans and the strategy behind it. So, to harness its potential and apply it to their brand communications, businesses need to use it with intention.

First, brands should solidify their brand positioning, values, and personality before jumping on the AI bandwagon. Without a strong foundation, AI risks diluting the brand identity.

Second, brands should invest in up-skilling their creative workforce. It is crucial for designers and strategists to be trained in prompting, curating and refining AI outputs. In an interview with Adobe, Piyush Kumar, Global Head Strategy, Strategic Partnerships & Solutions (Digital Experience) at Wipro, put it best when he said the role of a designer “will shift from being a creator to a curator.” 

Image generated by Gemini

Third, brands must establish an AI framework to set clear ethical guidelines around how AI is used. Staff must be trained to understand the complexities of AI usage rights, content approval, and legal boundaries.

Lastly, the most effective brands won’t be the ones using AI most. Instead, successful brands will be the ones who use it the most strategically. Brands that see AI as an enabler, rather than a crutch or a replacement, will be the ones that stay relevant in the years to come.

The Future

Image generated by Gemini

In the words of science fiction author William Gibson, “the future is already here.” As AI evolves, it will become an irreplaceable tool to enhance workflows. But, we must also be cautious. We must not fall into the convenient trap of relying too much on digital algorithms. Brands and designers must learn to embrace, to adapt to, and to grow with AI tools to remain competitive and drive innovation.

The post Issue 52: Q2 2025 appeared first on Tangible.

Dubbed the 4th industrial revolution, Artificial Intelligence (AI) is here to stay. But the speed and intensity with which AI has invaded our lives in recent years has been a source of terror and excitement for people around the world. Uncertainty abounds as employers leap to explore the benefits of widespread automation, while employees anxiously stress about job security. So, the question remains: how do we take advantage of AI tools effectively, efficiently, and ethically? Below, we highlight the transformative ways AI has impacted market research and brand strategy, its dangers and shortcomings, and its role in the future of branding. 

5 Ways AI is Impacting Market Research 

AI is more than just the next step in market research – it is the dawn of a radical frontier. Its potential to increase productivity, amplify our ability to predict consumer behaviour, and enhance targeted marketing capabilities is immeasurable.  

 1.  Automation of Data Collection and Management 

With the support of AI, companies can automate data collection and management to streamline the research process. Gone are the days of manually gathering and cleaning endless oodles of data. Adaptable conversational chatbots like ChatGPT can help design and administer surveys tailored to targeted segments of the population. Parameters can be set to automatically catalogue the responses by demographic, psychographic, or behavioural qualifications, making it quick and cost effective to extract meaningful insights down the line.  

AI algorithms can also monitor data quality by cleaning up irrelevant, incomplete, or duplicated responses. Companies like Synthesized and Private AI are trained to remove Personally Identifiable Information (PII) from survey results, effectively preserving data integrity, usability, and ensuring the information complies with privacy regulations.  

 2. Optimisation of Data Analysis, Visualisation and Reporting 

Analysing consumer data from the internet has morphed from a mere Herculean task to an epic Sisyphean nightmare. An estimated 149 zettabytes of data were created in 2024. That’s 400 million terabytes of data generated every, single day! 

Luckily, generative AI software is well-equipped to extract key insights from mountains of information. Researchers no longer need to dredge through the digital slog of social media posts, product reviews, and public forums. Natural Language Processing AIs (NLPs) analyse qualitative data online to uncover important market trends and sentiments towards a brand. They can also find patterns in survey responses and focus group interviews to increase our understanding of target markets and consumer behaviour. 

 3.  The Rise of Predictive Analytics 

Accurate and efficient predictive modeling is the holy grail of corporate strategy. Imagine the ability to anticipate what consumers want, when they want it, and producing the exact amount needed to maximise profit, while minimising costs.  

Today, AI can analyse industry patterns and real-time information to create models that forecast market trends. Machine learning algorithms like Pecan use historical data on consumer behaviour, preference, and spending habits to stay ahead of demand. These predictive models can determine which customers are most likely to be swayed by targeted marketing, to be repeat customers, or to switch to a competing product. As a result, brands will know which sectors of the population they should focus on. 

 4.  The Wonders of Synthetic Data 

AI’s generate synthetic data by mimicking existing consumer profiles. The potential here is limitless, offering valuable opportunities to enhance market research and brand strategy. Researchers use the artificial data as a supplement to real data when they conduct market studies or form predictive models because it increases sample size and diversity, leading to stronger findings. It can also extrapolate results from hard-to-reach segments of the population to draw more robust conclusions.  

Practically speaking, firms can use this technology to test the performance of new brand campaigns on artificial markets without fear of leaking intellectual property. Finally, synthetic data is far more efficient than collecting and managing real data, requiring less time and fewer resources because market profiles can be generated automatically.  

Read more about synthetic data from this Qualtrics article 

 5.   Personalisation and Market Segmentation 

Market research will become highly targeted in the years to come. Traditionally, market segmentation relied on surface level demographic qualities like age, gender, income and location. Now, browsing histories, political views, social media posts, and past purchases can be used to create tailored marketing strategies and product recommendations fit to each person’s behaviour profile.  

Such a degree of personalisation allows brands to elevate the customer experience. For example, Netflix uses AI to recommend shows based on accumulated user’s tastes and preferences. Personalised market research optimises a firm’s resources and strengthens their customers’ engagement with, and loyalty to, the brand.  

For more insights on how AI is affecting market research, check out TGM Research’s article. 

How does AI Improve Brand Strategy and Decision Making? 

 A.  Make More Informed Decisions 

The effect of AI on brand strategy is akin to the impact radio and radar had on military tactics a hundred years prior. Accurate, real-time information is the most important ingredient in smart decision making. Corporate leaders can leverage AI’s automated data analysis and predictive analytics to reveal important correlations in real-time, transforming a trove of trivial information into deep insights on market trends. In doing so, companies can develop long-term, data-driven brand strategies that position themselves uniquely within their markets.  

Consider mergers and acquisitions. This report from the Harvard Business Review found the failure rate of mergers and acquisitions to be around 70-90%! AI’s powerful data analysis capabilities can boost success rates by efficiently identifying risks, synergies and acquisition targets that most align with each firm’s strategic goals. It streamlines the due diligence process, leading to smarter choices.  

 B.  Mitigate Risk 

In terms of risk mitigation, AI can identify vulnerabilities in a company’s operations or branding strategies with predictive analytics and automated data management.  

Real-time sentiment analysis informs branding decisions. By understanding the choices their customers are making, firms can take preventative action and pivot the company in the right direction. For example, social media posts and customer reviews can be compiled to determine whether a firm’s current campaigns are working or if they should consider investing in a rebrand to better align with their values.   

C. Optimise Operations 

Automated data collection, management, and analysis paired with the use of synthetic data can free up human capital traditionally used for overseeing research. Furthermore, AI can optimise operational tasks such as inventory management, logistics, and customer support to lower costs and increase efficiency. With these advantages, employees will have more opportunities to explore innovative brand strategies.  

D. Capitalise on New Business Models 

Complete understanding of real-time consumer preferences coupled with predictive models allows companies to develop proactive brand campaigns and product strategies. They can also use predictive analytics and synthetic data to anticipate market trends, informing the development of brand messaging that can tap into the cultural and industry zeitgeist.  

Read more about AI’s impact on brand strategy and decision making from Mckinsey. 

AI is a Tool, Not a Replacement (Don’t Worry, Humans are Still Required!) 

Shortcomings of AI 

Despite its advantages, AI has 3 major blind spots: data quality assurance, information bias, and ethics and legality.   

First, AI programmes are highly dependent on the data they are trained with. Poor information and inaccurate data inputs will result in flawed outputs, and ultimately, unreliable conclusions. 

 Second, AI algorithms, like any code, can inherit bias from their programmers or from the data sets they were trained from. Any such biases or limitations in contextualisation could lead to discriminatory outcomes against minority populations or an overvaluation of certain groups. Any potential for discriminatory practices could cause irreparable damage to a firm’s brand image.  

Finally, training AI programmes raises important legal and ethical considerations. Their heavy reliance on large swathes of data indiscriminately scrubbed from the internet has the potential to violate numerous data privacy, ownership, and security laws. Already, writers and artists are banding together to file lawsuits against AI companies to protect their work from unfair use.  

To combat these risks, companies must be vigilant in their practices. AI must be trained on diverse data sets and given comprehensive inputs with relevant contextual frameworks. And most importantly, the work must be overseen by a trained human. Firms must also be prepared to collect data in ways that respect the law and store the information responsibly. This means they must ask people for their consent and adhere to data privacy laws with the utmost sincerity.  

Learn more about the challenges with AI from Forbes.  

Humans are Irreplaceable 

The future of market research and brand strategy lies not in complete automation. At least, not yet. Blindly accepting an AI’s conclusions can be dangerous, leading to superficial insights at best, and harmful biases at worst. While AI excels at analysing  information to create predictive models and synthetic data, they still lack the deep contextual understanding, flexibility, and critical thinking abilities of a human mind. Indeed, AI cannot empathise with our stakeholders. And it cannot match our creativity for pioneering visionary solutions. 

Instead, the future of branding rests in the harmonious integration of artificial and human intelligence. Human analysts and engineers are still vital to the research and decision-making process. They must verify and validate results to ensure the data is accurate, complete, and unbiased. AI is nothing more than an incredible tool to augment human capabilities. But when used correctly, it can help extract truly meaningful conclusions from previously inaccessible information, paving the way for humans to develop innovative, well-informed brand strategies. Only by combining AI efficiency with human decision-making can we realise AI’s full potential. 

To return to our earlier analogy, radar and radio can tell us where our problems are, but they lack the complexity and empathy to formulate a plan and execute a solution.   

Photos taken from Unsplash, Freepik and Adobe Stock.

The post Issue 51: Q1 2025 appeared first on Tangible.

1. The QR Code Comeback

Person scanning qr code at the cafeteria, Freepik, Stock Image

From Niche to Necessity

Remember when QR codes were just quirky little squares? Now, they’re everywhere! You might have spotted one five minutes ago—on a table or a public wall. Thanks to the pandemic, these codes have gone from novelty to necessity, making tasks like menu browsing and payments a breeze.

First, what is a QR code?

Short for Quick Response code, the QR code is a two-dimensional barcode that evolved from the old-school single-direction barcodes with a super-efficient design that reads horizontally, vertically, and at any angle. This allows them to pack in way more information.

Designing for Adoption

Apple releases iOS 11 – new Control Centre, and integrating QR scanner. | https://www.formbot.com/how-to-scan-qr-code-with-iphone.php

Apple integrating QR Code Scanner in the new iOS 11 | apple.com

While QR codes were ahead of the curve, it required a separate app to scan them which can be quite a hassle. But then came Apple’s iOS 11, which integrated QR scanning directly into the iPhone camera. This game-changing design made scanning QR codes accessible to all. Fast forward to 2020, they then became essential for contactless interactions.

COVID-19 Vaccination requirements. | https://www.imc-healthcare.com/verification-of-overseas-covid-19-vaccination/

How it Works: The mechanics behind QR Codes

1. 1. Data encoding: Allows for a much higher data capacity compared to traditional barcodes, including text, URLs, and other data types.
      

      Source: Huang, J., & Chen, J. (2017). “Data Encoding and Efficiency in QR Code Technology.”International Journal of Information Technology 

   2. High-speed readability: QR codes are designed for fast readability, enabling quick access to the embedded data.
      

      Source: Lee, Y. K., & Kim, S. (2018). “Understanding the Readability of QR Codes.” Academia.edu.
      

   3. Error correction: QR codes can still be read correctly even if they are partially damaged, thanks to built-in error correction algorithms.
      

      Source: Zhang, H., & Wu, C. (2012). “Error Correction in QR Codes: A Practical Approach.” ScienceDirect.
      

   4. Immediate interaction: Scanning a QR code instantly directs users to a website, app, or digital content without the need for manual input, reducing friction in the user journey.
      

      Source: Johnson, M. (2019). “User Experience and the Impact of QR Code Interactions.” Journal of Mobile Technology.

Why it Works: The Psychology behind it

QR Codes tap into nuances of perceived convenience, security and value in psychology:

1. 1. Perceived Legitimacy: QR codes are often associated with reputable brands and institutions, which enhances user trust in the content they are accessing.
      

      Source: Smith, A., & Patel, R. (2020). “Building Trust Through QR Codes: A User Experience Perspective.” Academia.edu.

   2. Contactless Safety: In a post-pandemic world, QR codes offer a hygienic, contactless way to access information and services, aligning with increased health and safety concerns.
      

      Source: Lee, J. (2021). “The Role of QR Codes in Enhancing Safety During and After the Pandemic.” Health and Safety Journal

   3. Instant Gratification: QR codes provide immediate access to information or services, catering to the modern user’s desire for quick and easy interactions.
      

      Source: Chen, L. (2019). “Instant Gratification and Technology: The Role of QR Codes.” ScienceDirect.

   4. Interactive Experience: The act of scanning a QR code creates an interactive experience, making users feel more involved and engaged with the content or brand.
      

      Source: Kim, H., & Lee, M. (2022). “Enhancing User Engagement through Interactive QR Code Experiences.” International Journal of Interactive Marketing.

Transformative Impact: The Indispensable Role of QR Codes During the Pandemic

When the COVID-19 pandemic hit, QR codes quickly became essential in adapting to new safety protocols. Their versatility allowed for seamless integration into various aspects of daily life, making them a staple for contactless interactions.

Revolutionising Dining Experiences

Free PDF QR Code generator mock up, Convert PDFs to QR Codes & Track PDF Downloads. | https://www.uniqode.com/qr-code-generator/for-pdf

COVID-19 led to heightened concerns about physical contact, posing a challenge for restaurateurs. Many customers hesitated to use physical menus, prompting a swift shift to online alternatives. QR codes emerged as the ideal solution for contactless dining, allowing customers to simply scan the QR codes at their table to access menus on their smartphones.

This transition not only minimised physical contact but also enabled restaurants to update menus in real-time without reprinting. As a result, dining became safer and more efficient.

Lady ordering food using new QR codes in hawker stalls in Singapore during COVID-19 Pandemic heightened alert, 2020 | Image from Straits Times

Additionally, QR codes revolutionised contactless payments, particularly in hawker stalls in Singapore that have limited banking access, allowing customers to complete transactions quickly and securely while enhancing financial inclusion.

Singapore’s Smart Pandemic Solution: The TraceTogether App

Factsheet – Enhancements to the TraceTogether Application | MDDI

In Singapore, the TraceTogether app became vital in managing COVID-19. Using Bluetooth technology in conjunction with QR code capabilities, it logged encounters between users thus allowing health authorities to swiftly identify potential exposures. The app improved safety and streamlined contact tracing by incorporating QR codes for venue check-ins. This initiative highlighted Singapore’s innovative response to the pandemic, showcasing the crucial role of thoughtful design in public health.

QR Code Usage Statistics 2024: Latest Facts and Insights | https://www.qrcode-tiger.com/qr-code-statistics-2022-q1

QR Codes on Graves: Preserve Memories in 7 Meaningful Ways | https://www.qrcode-tiger.com/qr-codes-on-graves

Other Examples of QR Code Usage Today

• Advertising: Connecting consumers to a brand’s website or discounts
  
• E-payments: Particularly in China, thanks to WeChat
• WiFi Access: Joining networks without entering passwords
• Museums: Providing more information about exhibits
• Gravestones: Some companies have added QR codes to gravestones to share more about the deceased

2. Swiping as Second Nature

The Tinder Effect

Swipe right memes, Giphy.com

Imagine a world where finding a date felt more like a game than a chore. Enter Tinder, the app that turned dating into a digital playground. The genius behind Tinder lies in its simple yet addictive swipe gesture. Swipe right if you like someone, swipe left if you don’t. This slight, accessible, intuitive motion changed how we interact with our phones forever.

Swiper, No Swiping!

Everand: Learn these iPhones gestures to tap and swipe like a pro | https://www.everand.com/article/533153174/Learn-These-I-Phone-Gestures-To-Tap-And-Swipe-Like-A-Pro

The magic of the swipe is in its simplicity. With a flick of the thumb, you’re either opening the door to potential romance or sending someone packing. It’s quick, it’s easy, and it’s incredibly satisfying. Why? Because it feels natural. Our brains love quick decisions and instant rewards, and swiping delivers just that.

How it Works: The Magic Behind the Swipe

1. Touch Start: Your finger lands on the screen, saying, “Hey there!” The device eagerly notes where you started this interaction (like remembering where you parked your car).
   

   Source: Schmidt, C. (2020). “Understanding Touch Interactions in Mobile Devices.” Journal of Human-Computer Interaction.

2. Touch Move – The Dance: As you glide your finger across the screen, the device is like, “I see you moving!” It tracks every move, following your finger like a puppy on a leash.
   

   Source: Johnson, L., & Martinez, R. (2021). “The Dynamics of Touch: Tracking Movements on Screens.” International Journal of Mobile Computing.

3. Thresholds and animations: Predefined thresholds for distance and speed ensure only deliberate swipes trigger actions. Smooth animations followed provide visual feedback, enhancing the user experience.
   

   Source: Chen, A., & Lee, J. (2019). “The Role of Feedback and Animation in User Interaction Design.” Human Factors and Ergonomics.

4.  Function Execution: Depending on the direction and context, specific functions are executed (e.g., dismissing a notification, navigating between pages, liking or disliking a profile).
   

   Source: Chen, A., & Lee, J. (2019). “The Role of Feedback and Animation in User Interaction Design.” Human Factors and Ergonomics.

Why it Works: The Psychology of Swiping

1. Ease of Use: Before swiping, dating apps were cumbersome. You had to fill out forms, answer questions, and browse through pages of profiles. Swiping made it all so much simpler. Now, all you need is your thumb and a bit of hope.
   

   Source: Davis, S. (2021). “Streamlining User Experience: The Evolution of Dating Apps.” Mobile User Experience Review.

2. Gamification: Tinder transformed dating into a game. Each swipe comes with the thrill of the unknown – will it be a match or will it be a miss? It’s like playing a slot machine; each right swipe could hit the jackpot. This keeps users hooked, swiping away for the successive big win.
   

   Source: Anderson, T. (2020). “The Gamification of Online Dating: Engaging Users through Play.” Journal of Digital Culture.

3. Immediate Feedback: Every swipe gives instant feedback. A match lights up your screen, sending a rush of excitement. This instant gratification keeps users engaged and eager to keep swiping.
   

   Source: Thompson, R. (2019). “Instant Gratification: The Psychology Behind Immediate Feedback in Apps.” Cognitive Psychology Journal.

4. Social Validation: Swiping taps into our need for social approval. Getting a match feels like a mini-validation boost. It’s a simple way to feel seen and appreciated in the vast world of online dating.
   

   Source: Carter, M. (2021). “The Psychology of Social Validation in Digital Platforms.” Social Psychology Quarterly.

Why Is Swiping So Satisfying?

Tinder swiping meme | giphy.com

Ellen Glover from Built In notes that “swiping is an innate gesture,” even seen in babies. UX design often caters to thumb navigation, making swiping feel natural, reminiscent of flipping through magazines or browsing racks. When used in a game-like context, like Tinder, swiping taps into a variable reward schedule, akin to a slot machine, where curiosity builds, and dopamine is released with each match.

What Makes ‘Swipe Right’ Such a Compelling UX Feature? | https://builtin.com/articles/tinder-swipe-design

Swiping into the Future

Tinder’s swipe didn’t just change dating; it changed how we interact with our devices. The swipe gesture is now a fundamental part of user interface design, proving that sometimes, the most straightforward ideas have the most significant impact. From browsing social media feeds to navigating through photo galleries, the swipe gesture has become ubiquitous in many apps. So next time you swipe right, remember – you’re not just making a choice but part of a digital revolution.

For more insights on the transformative power of the swipe gesture, check out Built In’s article.

3. The (Subtle) Power of Micro-Interactions

The magic of micro-interactions: How small details can make a big impact | https://www.linkedin.com/pulse/magic-micro-interactions-how-small-details-can-make-big-joe-johnston/

Tiny Details, Big Impact

Micro-interactions are the delightful little design elements—think fun animations and friendly feedback loops—that keep us coming back for more. They add a sprinkle of joy to our digital experiences. For instance, that satisfying ‘like’ animation on social media? It’s not just for show; it confirms your action and makes you feel good about it! As UX Magazine puts it, “these small details can significantly enhance user satisfaction.”

How it Works: The Magic of Micro-Interactions

Micro-interactions are the little design gems that make apps more enjoyable! Here’s how they work:

1. Instant Feedback: Whenever you click a button or like a post, micro-interactions provide immediate feedback—think animations, sounds, or colour changes—that say, “Yep, we got that!”
   

   Source: Norman, D. A. (2013). “The Design of Everyday Things.” Basic Books

2. Guiding the Way: They help you navigate processes smoothly. For example, playful animations can show progress when filling out a form, making the journey straightforward and fun.
   

   Source: Ahlstrom, L. (2020). “The Role of Micro-Interactions in User Experience Design.” UX Magazine.

3. Boosting Engagement: With delightful elements—like confetti after achieving a goal—micro-interactions make you feel special and connected to the app.
   

   Source: Kuniavsky, M. (2010). “Smart Things: Ubiquitous Computing User Experience Design.” Morgan Kaufmann.

Why it Works: The Psychology behind it

Micro-interactions tap into some clever psychology:

1. Rewarding Feelings: When you see a cheerful animation, your brain releases dopamine, giving you a little high that makes you want to keep using the app.
   

   Source: Hamari, J., Koivisto, J., & Sarsa, H. (2014). “Does Gamification Work? A Literature Review of Empirical Studies on Gamification.” 2014 47th Hawaii International Conference on System Sciences.

2. Easy Peasy: Simple interactions reduce mental effort. Clear feedback boosts your confidence, making the experience feel effortless.
   

   Source: Sweller, J. (1988). “Cognitive Load During Problem Solving: Effects on Learning.” Cognitive Science.

3. Building Habits: Fun micro-interactions encourage you to repeat actions, like logging workouts or sharing moments, turning them into habits.
   

   Source: Fogg, B. J. (2009). “A Behavior Model for Persuasive Design.” Proceedings of the 4th International Conference on Persuasive Technology.

4. Feeling Connected: Notifications for likes and comments foster community, keeping you engaged and returning for more.
   

   Source: Burke, M., Marlow, C., & Lento, T. (2009). “Social Network Activity and Social Well-Being.” Proceedings of the 2009 International Conference on Weblogs and Social Media.

Habit Forming Design

Micro-interactions are like little nudges that help us build habits. They’re carefully crafted to make our experiences smoother and more engaging. Take gaming apps, for example. Every time you complete a quest and get that extraordinary reward notification, it’s designed to keep you hooked. According to the Interaction Design Foundation, these feedback loops create a cycle that encourages players to return for more fun. It’s all about making you feel like a winner!

Your Micro-Interaction Cheerleaders

In the vibrant world of social media, micro-interactions are the little touches that make every scroll feel special, enhancing engagement and keeping users coming back for more. 

Instagram:

Instagram Update Annoys Users With ‘Romantic’ Flying Hearts In Ending DM Conversations | https://screenrant.com/instagram-hearts-update-users-annoyed-reaction/

Instagram shines with delightful features like the playful heart animation that pops up when users like a post, adding a burst of joy to the experience. At the same time, the smooth swipe animation for viewing Stories makes navigation seamless. 

TikTok:

UISources, Learning Tiktok, Tap to shoot, add filters, add music, add effects | https://www.uisources.com/explainer/tiktok-onboarding-coachmarks

UISources, Learning Tiktok, Tap to shoot, add filters, add music, add effects | https://www.uisources.com/explainer/tiktok-onboarding-coachmarks

TikTok excels in using micro-interactions with its engaging “like” animations and the satisfying feedback when users scroll through videos, complete with playful sounds that heighten the experience.

4. Designing for Seamless Experiences

Whole range of Apple Products for WDC 2024 | https://medium.com/predict/forget-macbook-pro-go-with-better-apple-product-d864e18b4742

Consistency is Key

Consistency in design across platforms is essential for creating intuitive and user-friendly technology. A prime example is Apple’s ecosystem, which offers a seamless experience across devices. From iPhones to iPads, Macs, and Apple Watches, Apple maintains a unified design language, ensuring consistent features like notifications, settings, and app interfaces. This consistency allows users to switch between devices effortlessly, enhancing productivity and creating a sense of familiarity.

How it Works: The subconscious idea of “Seamless Experiences” 

1. Unified Design Language: Apple employs a consistent visual and functional design across all devices, allowing for smooth transitions and familiar interactions.
   

   Source: Redding, C. (2019). “The Importance of Consistent Design in User Experience.” UX Design Journal.

2. Integrated Ecosystem: Apple’s products work together harmoniously, enabling features like Handoff, which allows users to start a task on one device and continue on another.
   

   Source: Elman, S. (2020). “The Role of Ecosystem Design in User Engagement.” Journal of Product Design

3. Invisible Transactions: Apple Pay simplifies the payment process with NFC technology, allowing users to make transactions with a single tap, thus minimising friction during the purchasing experience.
   

   Source: Green, J. (2018). “Seamless Payment Systems: Enhancing User Experience.” International Journal of Financial Services.

Why it Works: The psychology behind it 

1. Familiarity and Comfort: Consistent design elements create a sense of familiarity, reducing cognitive load and making users feel more comfortable navigating the interface
   

   Source: Norman, D. A. (2013). “The Design of Everyday Things: Revised and Expanded Edition.” Basic Books.

2. Flow State: The seamless integration and invisible design encourage a state of flow, where users become fully immersed in the task, enhancing satisfaction and engagement.
   

   Source: Csikszentmihalyi, M. (1990). “Flow: The Psychology of Optimal Experience.” Harper & Row.

3. Efficiency and Speed: Minimising the number of steps in interactions (like transactions) aligns with the principle of least effort, which states that users prefer processes that require the least cognitive and physical effort.
   

   Source: McKinsey, A. (2015). “The Effortless Experience: Conquering the New Battleground for Customer Loyalty.” Harvard Business Review Press.

Elaborating on what it means to have “Invisible Design”

How to use Apple wallet, apple.com

Apple’s design philosophy often embraces “invisible design,” where the best features go unnoticed because they feel natural. Take Apple Pay, for instance: making purchases with a simple tap of your iPhone or Apple Watch feels effortless. The smooth transition from browsing to payment lets users focus on shopping rather than the mechanics of the transaction.

How to use Apple wallet, apple.com

When you buy an Apple product, the receipt and product instructions automatically appear in your Apple Wallet. Not only that, you can store your credit cards, digital car keys, transit cards, boarding passes and even your drivers’ licence. This integration keeps essential information organised and accessible, enhancing the user experience.

Purposeful Design

Designing for seamless experiences means prioritising consistency and embracing invisible design, all while leveraging minimalist aesthetics. Apple’s ecosystem showcases how a unified design approach can elevate user interaction, making technology intuitive and effortless. 

5. Niche Innovations in UX/UI Design

In 2023 and 2024, technology continues to evolve, integrating deeper into our daily lives and enhancing our interactions through innovative UX/UI design.

1. Nest Thermostat

Google’s Nest announces new smart thermostat with simpler design, lower price | https://www.theverge.com/2020/10/12/21511951/google-nest-smart-thermostat-new-design-lower-price-specs-features

Energy Optimisation

The Nest Thermostat uses machine learning to optimise energy management based on user behaviour, making home control seamless and efficient. Users can easily adjust settings through an intuitive interface while the AI handles the heavy lifting in the background.

Explore Nest’s impact

2. Amazon’s Echo Spot

Amazon launches the all-new Echo Spot in celebration of Prime Day | https://www.aboutamazon.com/news/devices/all-new-echo-spot

Machine Learning in Voice Control

Smart speakers like Amazon Echo are revolutionising how we interact with technology. Through natural language processing, these devices allow users to control smart home gadgets with simple voice commands. Whether you’re asking Alexa to play your favourite song or turn off the lights, the user experience is designed to be effortless and intuitive.

Discover voice control capabilities

3. Spotify’s AI DJ

Spotify’s AI DJ Brings a Personalized Listening Experience to Fans in Spain | https://newsroom.spotify.com/2024-07-17/spanish-ai-dj-livi-voice/

AI Personalisation

Platforms like Spotify utilise AI to analyse user preferences and deliver personalised content recommendations. By understanding what users like, these platforms enhance engagement and loyalty, ensuring that users always find something that interests them.

See how AI personalises your experience

In Conclusion, 

As we’ve explored, UX and UI design do more than just enhance aesthetics—they fundamentally alter our interactions with technology and reshape our daily habits. From making QR codes a part of our everyday lives to transforming swipes into intuitive gestures, the impact of thoughtful design is profound and often invisible. These innovations empower us to navigate our digital and physical worlds more effortlessly and meaningfully.

What design change has subtly shifted your daily habits? We’d love to hear your experiences! If you want to enhance your brand or digital experience, don’t hesitate to reach out! Let’s create something exceptional together. Your journey towards innovative design starts here!

The post Issue 49: Q3 2024 appeared first on Tangible.

We want to celebrate people and brands that identify, articulate, and deliver their offers by seemingly leaving no stone unturned in the quest to create exceptional products, services, and experiences for their customers.

When we’re talking about Ideas, Perseverance and Attention to Detail, it may be the celebration of the engineering behind Dyson’s products or the craft that Disney puts into storytelling or a beautifully crafted logo that articulates the ambition of the business.

The key to building exceptional brands may be a combination of many circumstances but we would like to suggest it’s a blend of brilliant ideas, dogged perseverance, and an obsessive attention to detail (with a scoop of luck and timing). We can’t always explain it, but we know when brands have gone the extra mile to deliver.

Dyson – Ideas, Perseverance and Attention to Detail
The story of James Dyson is a daisy chain of brilliant ideas woven with the steel wire of perseverance. It’s interesting that both James Dyson and Phil Knight (Nike) were long-distance runners. James Dyson attributes his determination to his long-distance running.

Before the first bagless vacuum cleaner, while studying at the Royal College of Art (RCA), James Dyson helped design and build an amphibious high speed landing craft with the entrepreneur, Jeremy Fry. It was during this time that James learnt to design and engineer a product from the ground up. After graduating from RCA, James then helped with the sales of the ‘SeaTruck’ from Rotork Controls Ltd.

With the ‘SeaTruck’ success in his toolbox, James Dyson’s next idea came while renovating his farmhouse in the Cotswolds. He was having issues with traditional wheelbarrows, as they were unstable when fully loaded and put high pressure through the central tyre. His solution was the ‘Ballbarrow’, a single piece moulded plastic bucket and a ball for the front wheel. The success was immediate and ‘Ballbarrow’ quickly took half of the UK wheelbarrow market.

James Dyson clearly has a creative mind, but this is tempered with an engineer’s attention to detail and a long-distance runner’s perseverance, which has proved a formidable combination.

‘Dyson’ is synonymous with, the cyclonic vacuum cleaner and this was James Dyson’s next big idea. Its genesis originated in the late 1970’s after James Dyson saw a 30-foot-high conical centrifuge used in a sawmill to remove dust from the air. He believed the technology could be adapted for vacuum cleaners to improve their performance by removing the collection bags. At that time all household vacuum cleaners used collection bags which lost suction as the bags became clogged.

This is where perseverance comes in again as it took James five years and about 5,127 prototypes for the “G-Force” cleaner to be born in 1983. During this time, he was partly supported by his wife’s teacher’s salary. The next hurdle was manufacturing and distribution, as no one in the UK would handle his product (as Dyson disturbed the market for replacement dust bags). So, Dyson launched the G-Force in Japan through a manufacturing license agreement with a company called ‘Apex’. After this initial success Dyson realised that if he wanted to take his innovations to market, he needed to steer the ship. So, together with a bank loan and his life savings ‘Dyson Appliances Limited’ was founded in 1991. James then doubled down by setting up his own manufacturing company, ‘Dyson Ltd’ in 1993.

The 1990s was a story of growth for Dyson and particularly the Dual Cyclone model. Within two years, it was outselling Hoover and began capturing market share rapidly. Other models followed, which generally shrank in size and grew in desirability. Growth also brought the opportunity for Dyson to focus on his passions, ideas, innovation, and engineering. With the appointment of Martin McCourt as the Group CEO, James Dyson focused on growing the product offer. Let’s briefly summarise where his company cast its creative eye.

Washing Machines
With the insight that washing machines take 2 hours to deliver the results of 15 minutes of hand washing, Dyson ventured into washing machines. The result was the ContraRotator, which mimicked hand washing with its two drums rotating in opposite directions. Technically it was a great product, more energy efficient and could tackle larger loads. Unfortunately, at double the cost of competitors’, it failed to capture the market and become a commercial success.

Hand Dryers
Launched in 2006, Dyson’s Airblade Hand Dryer has helped Dyson grow within the commercial appliance sector. By challenging existing products, the Airblade uses Dyson’s digital motor to power a stream of air at rapid speed to dry the hands within 10-14 seconds. It is accredited as the first-ever hygienic hand dryer, using a HEPA filter to eliminate bacteria from the air, and in the process costs less to run than conventional hand dryers.

Bladeless Fans
As first glance the bladeless fan looks like another brilliant idea off the Dyson conveyer belt of brilliant ideas. Who wouldn’t want a fan that you can put your hands or head into? Actually, the concept for a bladeless fan was created by Toshiba in 1981 but it was beautifully designed and popularised by Dyson. The Air Multiplier was launched in 2009 and was included in Time’s 50 Best Inventions of that year.

Lighting
Jake Dyson, the son of James Dyson, is also working for the family business in the lighting sector. The opportunity in this sector is to address problems caused by poor lighting, such as eyestrain, headaches, and decreased productivity, all while enhancing the ambiance with optimal lighting. The lighting division started in 2004 and has moved from Halogen to LED light sources. While lighting may not have received the commercial success of other divisions, Jake says if there’s anything he learned from his father, it’s to “never give up”.

Hair Dryers
32 years after the G-Force, Dyson moved into hair care. In 2016 the Supersonic hairdryer launched to rave reviews, then came the Airwrap, an all-in-one styler and finally a straightener; the Corrale. With all these products the mission was clear, to create products for ‘every hair type, every style with less damage’. It took 10 years and £100 million but Dyson is now the category leader with over 6,000 engineers, scientists, and stylists working globally to drive their mission forward.

Another key focus area is the attention to detail from product design to the marketing and communications of Dyson products.

Dyson’s product designs can be compared with Apple’s, with their sleek and simple outer appearance that belies the sophisticated technology concealed within. The naming of their products captures both the category and technology incorporated within the product. Who knew what a neodymium magnet was before the cyclonic vacuum cleaner came along. Or that is spins at 104,000 times a minute, which is faster than a Formula 1 car (a great comparison).

From a marketing and communications point of view, when you see Dyson’s ads, websites, or retail outlets, it’s clear that the products (or the engineering behind the products) are the focus for the Dyson brand. It’s not about lifestyle, convenience, or value, it’s a celebration of the innovation, engineering excellence and attention to detail.

Looking back on James Dyson’s journey, it is hard not to be impressed by his achievements and hope his story can inspire the next generation of entrepreneurs driven by their internal curiosity to ask; ‘why not?’ And a determination to meet with triumph and disaster and treat those two imposters just the same.

Sources:
https://www.dyson.ie/james-dyson

https://www.forbes.com/sites/gabbyshacknai/2022/06/11/inside-the-success-of-dyson-hair-and-its-decision-to-redesign-the-bestselling-airwrap-tool/?sh=42f723c43cc5

https://www.cascade.app/studies/dyson-strategy-study

https://en.wikipedia.org/wiki/James_Dyson

https://support.dyson.com.sg/fans

The post Issue 47: Q1 2024 appeared first on Tangible.

But first, let’s take it from the beginning. While it has been coming up as a buzzword for the past few years, the term ‘metaverse’ was actually first coined by Neal Stephenson in his sci-fi novel, Snow Crash, in 1992. His construction of the metaverse was an all-encompassing digital world in parallel to the real world. This parallel world is certainly the big-picture aim of big tech companies today, and they are making it known that they are betting big on it. Most notably, the Facebook company rebranded itself as Meta, communicating founder Mark Zuckerberg’s vision to build the future of social connection through the Metaverse. After the rebranding, the term ‘metaverse’ found itself becoming a hotter buzzword across the globe.

What is the Metaverse?

Just like the term ‘cyberspace’, the term ‘metaverse’ has a relatively fluid definition with dozens of different ideas of what it could mean. Broadly speaking, the metaverse is essentially a shared virtual space that is immersive, interactive and hyper-realistic. People are digitally represented by customisable avatars, through which they interact with one another in a variety of settings. The metaverse can be accessed using virtual reality (VR) headsets, smartphone apps, augmented reality (AR) glasses, or other devices. You’ll also be able to own digital assets such as NFTs, and navigate around the virtual space just like how you would physically navigate around the real world. According to technologists, users will be able to do everything from attending live concerts to even buying a piece of virtual land.

Singer Justin Bieber’s Metaverse Live Concert in March 2022

Sounds grand, doesn’t it? While this virtual universe boasts of the potential to be a boundless reality that allows humankind to transcend many physical limitations (think: you can be anyone and do anything) – it also poses its own set of challenges. Issues such as heightened internet harassment, addiction, and even more invasive data breaches are just a few of the issues that could potentially arise. Particularly, the rise of the metaverse has also brought about a startling concern – will society undergo dehumanisation?

We’ve seen the negative social effects video gaming and the internet have had on people who spend too much time being immersed in the virtual/cyber world. But with this new level of virtual immersion that the metaverse offers, follows the concern that people will over-immerse themselves in this pseudo-reality to escape from the harshness of the real world. All that’s left would then be a society filled with dehumanised interpersonal relationships, leaving shells of humans who would forget how to interact with one another normally. While this paints a scarily cold picture of our potential future, the rise of the metaverse does not necessarily have to lead to a society of soulless humans. Rather, used well and wisely, it can even fulfill the vision of Microsoft’s CEO – to create more presence and human connection in the metaverse. 

Some brands are already hopping on the metaverse train, and innovating new ways to enhance the customer experience. An example of such a brand – to no one’s surprise – is Nike. Nike has leveraged the Roblox platform to create Nikeland, which is the name of its metaverse space. It allows users to socialise, chat, and interact with one another, and has even had celebrity appearances from sports stars like LeBron James. 

What can brands learn from current examples? 

A particularly interesting example is Nike’s combination of a virtual and physical experience. In their Space Drip project, launched in March 2021, customers could purchase Non-Fungible Tokens or NFTs (Also check out: A beginners guide to NFTs: The New and Exciting Investment Asset Class) that were designed by 19 digital artists using their Air Force Ones as a base. The NFT could then be redeemed for real-life shoes that would be in the same designs as the NFT purchased. With fans of Nike being drawn by the novelty of the hybrid experience and the exclusivity of the famed shoe designs, the Space Drip project was undoubtedly a huge success.

Nike Space Drip Project Sneakers. Photo: RTFKT

Learning point #1: Nike

Instead of only facilitating a solely-virtual experience for people, Nike created a smooth and exciting hybrid experience that married virtuality with our physical reality. By owning a pair of exclusively-designed NFT sneakers in the virtual space, customers were also able to enjoy their purchase through owning a physical pair of sneakers in the same design. Furthermore, as their physical shoes would have been obtained through such a novel route and customer experience, it would certainly also be a talking point for them. Brands can learn from this example and create novel hybrid experiences for their customers, facilitating points of conversation in social interactions. In addition, creating a way for customers to be able to enjoy an asset both virtually and physically means double the satisfaction gained.

In Nikeland, people can interact with one another as avatars and even check out one another’s digital Nike assets.

Learning Point #2: Gucci

Gucci has also ventured into the Metaverse in Roblox. With a plot of digital land named Gucci Town, the luxury brand set up this dynamic destination “to express one’s own individuality and connect with like-minded individuals from all over the world”. 

Gucci Town on Roblox. Photo: Gucci

Gucci Town is home to vaults and boutiques showcasing latest product drops, a creative corner where visitors can create art pieces, and even a portal that transports them to an arena of Gucci-inspired competitions. 

Following this vein of leveraging the metaverse space as an interaction enhancer, brands could look into creating virtual spaces to facilitate social connection that would have otherwise been unattainable. Imagine shopping in the metaverse, and instead of asking your friends for their opinions on the apparels you tried on, you would be able to ask other shoppers from all over the globe for their opinions. This way, your brand could be doing the opposite of facilitating a dehumanised world, and instead, fostering human connections at an even greater degree.

Learning Point #3: Monkey Shoulder

In 2021, Monkey Shoulder organised a Metaverse Festival after party on Decentraland. 

Metaverse Festival on Decentraland. Photo: Monkey Shoulder

A DJ Set with DJ A.Skillz & DJ Kraftykuts was created for the after party, as part of the brand promotion. Attendees were able to attend the festival after party from anywhere they wanted, and dance along to the DJ set that was brought to them by Monkey Shoulder. Through creating this fresh virtual experience, Monkey Shoulder effectively positioned themselves as an innovative, fresh and fun brand that is forward-thinking.

What brands can learn from this example is to create fun, fresh and inclusive experiences. As one of the early ‘metaverse’ pioneers, Second Life found its value in creating a virtual haven for all to experience and be whatever they wanted to be. This concept particularly appealed to people with certain mental and physical disabilities, as the platform provided a way for them to connect, socialise and forge meaningful relationships with others. In other words, what the physical reality inhibited – the virtual reality enabled. Through the metaverse festival after party, Monkey Shoulder not only created successful brand equity, but also an inclusive experience that transcends physical limitations. Attendees who might not be to attend a physical festival can now experience a live virtual festival from the comforts of their own home.

There’s no escaping the growing trend, that is the metaverse, as technology and platforms continue to advance in this digital age. Brands will either be able to make their move to get in and win successfully, or get left behind as the world evolves. But while the metaverse cautions us about potential threats of a dehumanised society, brands actually have the power to leverage the platform to enhance human connection instead. Or in Canadian philosopher Marshall Mcluhan’s words, “We become what we behold. We shape our tools, and thereafter our tools shape us”.

Tangible is a brand strategy and business consulting firm, synergising our consulting and creative offers to give clients comprehensive solutions. We believe brands are strategic management tools that should go beyond simply delighting customers. For more information on how Tangible can assist you with your branding, or other related digital services, please contact us here.

The post Issue 41: Q3 2022 appeared first on Tangible.

Bored Ape Yacht Club (BAYC) | Yuga Labs

Preface

In our culture today, where tech meets real life, we can make our random doodles in our notebook for 1 ETH ($1691 as of 28 June 2022) today. As we sit in the web3 culture today, the blockchain space is a burgeoning industry where even tech founders admit to being in the midst of a learning curve. Cryptocurrencies, utility tokens, security tokens, digital assets, new exciting investment asset classes and their sub-classifications are multiplying and evolving alongside cryptographic and blockchain technology. One booming market now is the non-fungible token space.

BEEPLE: Everydays, the 5000 images | Christie’s Auction House

Introduction

How much can a cluster of pixels be possibly worth? In today’s world, where anyone can just save an image from anywhere on the internet within seconds – a collection of pixels is probably worth nothing. However, in March 2021, a digital print called Everydays: The First 5000 Days sold for $69 million at Christie’s Auction House. It is not extraordinary to see an eight-figure art sale at Christie’s, but selling the work of art as a non-fungible token (NFT) is a first of its kind. To put it into perspective: Someone paid $69 million for a collage of 5000 digital images. How crazy is that?

Top: Crypto Punks, Wavelength by Kaleb Johnston, Famous Fox Federation, And Solana Monkey Business.

Bottom: Bored Ape Yacht Club, Getijde by Bart Simons, Doodles,
and The Currency by Damian Hirst | Medium.com, A Primer to NFTS

So, what is an NFT? 

Non-Fungible Tokens or NFTs are digital assets with a unique identity kept and verified on a blockchain, a digital ledger that is encrypted and safe. Each NFT has a signature that allows anyone online to verify its authenticity, transaction details, time, and cost. Each NFT is non-fungible, meaning the NFT cannot be exchanged for another asset of similar value. For clarification, NFTs are neither a platform, a currency, or a marketplace. Common NFT assets can be images, videos, music, a soundtrack, collectibles or even shoes; anything that can be made digital can be an NFT. 

Understanding the difference between non-fungible and fungible assets will help you know NFTs better. Stocks, money, oil, gold, and cryptocurrency are fungible; they can be easily traded or exchanged for an equalised value – $1 for $1. Non-fungible assets are different; they have a unique code attached to them, and their properties are not transposable and cannot be replaced with a similar item.

This Changed Everything: Source Code for WWW x Tim Berners- Lee | Sotheby’s

How does NFT work?

Think of NFTs as a collector’s item but in a digital format. An artist or creator can create an NFT by converting images, music, art, and videos into crypto collections or digital assets and storing them onto the blockchain – and this process is minting. By minting an NFT, you convert tangible digital files into encrypted, unique non-fungible tokens for buyers to take an interest in. NFTs exist on blockchain technology, the recorded provenance of the digital asset makes it unique and safe to invest in, and you will never lose it with the technology attached. NFTs hold value because there is only one unique version of the asset that is made and cannot replicate, a 1:1 in layman’s terms.

With NFTs, everything is made digital. When you buy an NFT, you will not get the physical asset; you will get a digital file and exclusive ownership rights tagged to the investment.

Dictador x Richard Orlinski NFT, about $45,000 | Financial Times

What can be converted into an NFT?

Anything digitalised can be turned into an NFT, even a tweet! Twitter’s former co-founder Jack Dorsey sold his first tweet as an NFT for more than US$2.9 million. Anything can be converted to an NFT, from artwork, music and media, to trading cards, event tickets, in-game items on gaming platforms, memes, and even real-world items like collectible Nike shoes and rare spirits. 

Illustration by Mengxi Li  | The Verge

How to make NFTs? 

Before making NFTs, some NFT jargon might help you ease your way into the NFT space. Some important ones are:

1. 1:1 Art: A unique NFT art piece that only exists in one edition
2. Altcoin: An Altcoin is an alternative digital currency to Bitcoin. The word Altcoin is a portmanteau of “alternative” and “coin” to form “altcoin”. It refers to a group of cryptocurrencies, ultimately all the cryptocurrencies other than Bitcoin.
3. Airdrop: New NFTs or cryptocurrencies are automatically sent to your wallet for free.
4. Bearish: This term is used when traders, investors and community members expect a token or asset’s value to decline soon.
5. Bullish: The opposite of bearish. 
6. Discord: A social media platform akin to slack, built initially for gamers but has since evolved into a platform for all kinds of communities, especially for NFT projects.
7. Gas: Gas is the amount (in native cryptocurrency) required by the platform or marketplace for a user to perform transactions on the blockchain. For example, you must pay BTC gas fees when interacting with the Bitcoin network. 
8. Minting: The creation process of an NFT. 
9. Moon: A typical financial market term referring to the exponential growth of an asset value. E.g. BAYC is going to the moon, or ‘mooning’. 
10. Reveal: When minting a new generative project, your artwork will be created by the platform after the minting process. This means you’re purchasing a ‘blind box’ and won’t know what you will get until it’s time to reveal it. Depending on the creator’s choice, the NFT may be informed immediately or after a 24-48 hours delay when the collection sells out. 
11. Secondary (transaction): A secondary NFT transaction is when a collection of NFTs is already sold through its project website and is further traded among buyers.

You can find the more expansive glossary list here.

Step 1: Decide what it is you are minting.
While some of the most popular projects like Bored Ape Yacht Club (BAYC) feature cartoon avatars and profile picture projects, remember that the platform can help you turn any digital files you own into an NFT. Many musicians like Kings of Leon and 3LAU have launched NFT projects for their singles, music videos and even album art. The fine line is to make sure that the NFT is your creation or something you rightfully own.

Step 2: Decide on a marketplace.
Many marketplaces allow you to discover, buy and sell NFTs, but depending on your identity as an individual creator and artist or a regular trader who sees this as an asset class; some are better suited for respective identities. 

• OpenSea

Based on the Ethereum blockchain, OpenSea is the top choice of NFT creators and buyers. Signing up on OpenSea is free. Compared to other marketplaces, it boasts the most variety of digital assets available for browsing, buying and selling. It supports artists and creators with the easy minting process on OpenSea. Lastly, the marketplace supports more than 150 payment tokens.

What you’ll need to get started:
An ETH wallet (e.g. MetaMask, Coinbase or dozens of others)

Creator fees:
2.5% of your sale

Learn more:
Visit the OpenSea resource page.

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• Rarible

Similar to OpenSea, Rarible utilises the Ethereum blockchain. Rarible is another large marketplace that can buy, sell and create all types of art, from videos to collectables and music on the platform. However, on Rarible, you have to use their own marketplace’s mainstay token Rarible (CRYPTO: RARI) to buy and sell on the market. The incredible feature for users on Rarible is that they can steal a “sneak peek” of your creation from everyone who comes to Rarible, limiting the complete project to purchasers only.

What you’ll need to get started:
An ETH wallet (e.g. MetaMask, Coinbase or dozens of others)

Creator fees:
Vary depending on the blockchain you use, but the option for free minting exists.

Learn more:
Read the Rarible FAQs

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• Mintable

Mintable, the famous NFT marketplace backed by the shark billionaire Mark Cuban, is also a fabulous marketplace to start selling NFTs. Mintable allows creators to skip upfront fees when minting NFTs and rewards creators royalties whenever a collector resells their product on the secondary market. Compared to OpenSea, which has a flat rate of 2.5%, Mintable has creator fees ranging from 2.5% to 10%, depending on the type of transaction.

What you’ll need to get started:
An ETH wallet (e.g. MetaMask, Coinbase or dozens of others)

Creator fees:
2.5%, 5% or 10% depending on transaction type

Learn more:
To view the Mintable Resource page, you need to be a user of Mintable.

For further clarification, creator fees are not gas fees. Buyers pay gas fees (the transaction amount required to write data on a blockchain network) after the first sale of a specific NFT collection. Also, other fees may apply. 

Other platforms like Foundation and SuperRare are by invite only; only by invitation are you allowed to create NFTs on their platform.

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Step 3: Set up a Crypto Wallet to get Cryptocurrency
It might seem like a misordered step, but it isn’t. 

Setting up a crypto wallet only after you have chosen your marketplace and blockchain is a better investment move as it is advisable to stick with one marketplace that allows you to have different altcoins to invest in. Altcoins are “alternative coins” for short, which are alternative coins other than Bitcoin, like Ethereum and Solana. Further, blockchains have additional gas fees, so it is advisable to research the market and cryptocurrency before setting up your crypto wallets.

Step 4: Join communities on Discord and Twitter
Do you still remember your Twitter password? To start making NFTs, you must recover your Twitter account and create an account on Discord. Discord works like Slack, an organisational channel that organises conversations into dedicated spaces called channels. Channels bring order and clarity, making them for a project, team or topic, and in these channels, you can share images and ideas and move work forward. Discord is a platform for gamers and crypto lovers, and Twitter allows you to chat with like-minded NFT collectors or even collectors interested in the same projects as you. You can enter various channels, though some tracks are by invite only. Most information regarding NFT news is communicated through Discord by the project’s founders. When you’re ready to sell your NFTs, you can expect your community to be your marketing resource and “hype central”. 

You don’t need to spend much money on sophisticated tactics to create successful NFT projects. Just trust your community. 

Step 5: Create your art, upload and mint
Creating art is easy and challenging at the same time. Before proceeding, you must decide if you’d like to do a 1:1 Art or a collection of NFTs. Remember, no prudent NFT creator would create a group without first knowing the longevity of the project and its goals. Doing copyright research is also essential, be diligent in pointing out key features of other top projects and then avoiding them. You are good to go as long as it is your creation and there’s nothing similar in the market. 

In marketplaces such as OpenSea and Rarible and minting website Polygon, the minting process is so easy:

• Open the collection you just created
• Click on Add Item
• Upload your NFT and name it.
• Fill in the properties, levels and other descriptors for the NFT.
• Click Create when finished.

Once you mint your NFT, it will appear on your profile. Blockchain data is public and accessible by anyone. Your NFT’s buying and selling history will be available to the public forever on this digital ledger, helping you and prospective buyers track its price. You might not want people to know how many transactions you make or how much money you have traded. Therefore, many users go by different monikers to hide their identities.

Step 6: Selling your NFTs
After minting, it is time to price your NFT. For starters, you might want to try 1 ETH ($1691 as of 28 June 2022) to keep it simple. The 1 ETH price will remain on your marketplace profile until a specific date or until someone takes it off the market.

Mach37, combining Web2 and Web3 | Medium.com

Why are NFTs so significant in the web3 era? 

Although the NFT space seems to be levelling in the bearish market in 2022, the growth of NFTs has changed the work of artists, content creators, graphic designers, illustrators, and authors. This revolutionary technology broke the internet, turning the art and fashion world upside down. At the end of 2021, the burgeoning market had a trading volume of approximately $23 billion. Cryptocurrency and NFTs are a mainstay in our web3 culture.

• NFTs open a gateway to creating more hybrid industries

Ten years ago, it would have been difficult to find a hybrid designer that could travel between art and science. But today, a designer can not only design graphics, and they can code the graphics, create 3D models using code and even code robots’ movements. A hybrid designer today believes in “innovation through synergy between creativity, science and technology to create value for society”.

Coding is no longer the sole proprietary of the engineering, technology, and financial technology sector; everyone has a chance to utilise coding. Today’s creatives can code their artworks to mint without any platforms and marketplaces and even create intelligent contracts through the Ethereum Blockchain without third-party platforms. This sight is one incredible example of how the art, design, and science industry coalesce, creating more hybrid initiatives that will stay in the future.

Read more here:  https://www.rca.ac.uk/research-innovation/research-centres/computer-science-research-centre/

https://www.rca.ac.uk/study/programme-finder/information-experience-design-ma/

• NFTs foster marketplace efficiency

NFTs enable markets to be more streamlined. Transforming a physical asset into a digital one and embedding it into the blockchain technology streamline complex processes, eliminate intermediaries, enhance supply chains and bolsters security. NFTs are a starting point, and it shows that there are applications beyond marketplaces. Take physical paper contracts between businesses. By converting them into distinct NFTs, we can significantly curb bottlenecks at physical places and streamline the process of checking and authenticating them. This change can save us so many person-hours when time is a form of money today.

Read more here: https://www.cnbc.com/2022/02/02/here-are-the-pros-and-cons-when-it-comes-to-non-fungible-tokens.html

• The bolstering security of Blockchain Technology backing NFTs

Within the NFT space, we can see what blockchain technology can do in minting, buying, and selling in a virtual area. As mentioned, blockchain is essential because businesses run on information; the more accurately received, the better. Blockchain is ideal for delivering that information because it provides immediacy and transparency for the data stored on that immutable ledger which only permissible network members can access.

With the application on NFTs, we can track its entire history of orders, payments, differing accounts and production. We can use the single view of transparency, which gives its customers greater confidence to use Blockchain-applied applications in the future.

Bryce Durbin, TechCrunch | TechCrunch

Seems like a dream to earn big bucks?
Beware of the pitfalls. 

With every new and exciting investment asset class, there are immense risks too. We see many success stories of earning the big dollars with cryptocurrency; people often forget the flip side of the coin that some people faced when Bitcoin crashed.

• NFTs are illiquid and speculative investments.

Since it is a new asset and marketplace, there is not a lot of historical data. In May 2022, Altcoin Solana crashed 85% in value due to a power outage and NFT spillover, which wiped out a lot of investors’ bank accounts. Can you afford the loss?

• NFTs are a volatile investment that sits in a decentralised space.

NFTs are termed “volatile” as with most art, digital or physical, their value is relative and based on someone else’s sentiment and the hype around it. Similar to the sneaker collectors world, there is a “cop or drop” hype, 1:1 and secondary market pricing. People flip in the secondary market at their sentimental price, unconcerned with any market research or statistical data as it swings with sentiments and is unpegged to any centralised currency.

That’s the unique nature of an NFT, which can be viewed as both a pro and a con. Further, altcoins sit in a decentralised space, where there are no government rules to how it is traded or how the market moves – everyone has a dip in the soup. 

Unless you are using altcoins pegged to the U.S dollar, it is a considerable risk to dabble in cryptocurrency. Unless you can afford the loss, it is not recommended to invest in cryptocurrency or NFTs.

• There is a high potential for fraud and scammers within the space.

Despite blockchain technology, it is possible for NFTs to be hacked and stolen, adding another significant risk to consider. NFTs thefts are increasingly common as the number of bad-faith actors shows up in hopes of a breadcrumb of this multi-million-dollar pie. OpenSea has seen more than $10 million in losses from NFT hacks and thefts, with BAYC apes worth millions getting stolen.

Also, anybody can compromise the security of social networking sites like Discord and Twitter with phishing attacks, with hackers posing as NFT project founders posting fake links concerning ongoing NFT projects. 

Plagiarism is also common in the digital space. DeviantArt has also seen artists’ collective being ripped off directly from their portfolios and onto OpenSea’s marketplace.

Read more here: https://mashable.com/article/bored-ape-yacht-club-hacked-again.

Big Brands getting into NFTs | Medium.com

Conclusion

Although big brands are jumping on the bandwagon to create NFTs and push the boundaries of their uses, NFTs remain in a highly speculative market that fluctuates wildly daily. With such a decentralised space, there is almost no kind of accountability. It will remain an unregulated unique digital asset with various technological applications in digital art, games, music, films and Internet memes. There is only moderate control and visibility in the space that remains in the private room. Unless it has merged fully with the Decentralised Finance space, If NFTs remain ungoverned, they will always hold it in a speculative market. 

Boom or bust? It is up to you to decide!

Ps: Happy investing! Tangible is not liable for any investment losses or speculative investment solutions.

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