Building Trust In An Ecommerce Brand

Great UX doesn’t shout. It protects you — quietly. Ever notice how iPhone calls don’t always look the same? Sometimes, you see two buttons: ✅ Accept ❌ Decline Other times? Just one thing: ⏩ Slide to answer Feels random? But it’s not! This is Apple being intentional. This is UX doing its job. Here’s what’s really happening: 🟣 When your phone is unlocked: You’re alert. Engaged. So Apple gives you buttons. Tap. Quick. Done. 🟣 When your phone is locked: You’re not looking. Maybe it’s in your pocket. Or you’re half-asleep. So no buttons — just a swipe. Why? Because a swipe is intentional. You can’t do it by accident. It’s harder to mess up. Harder to pocket-answer. Harder to decline your boss at 2 AM by mistake. That’s not a bug. That’s UX thinking ahead. Small decision. Massive impact. That’s how we think at Design Monks - UI UX | Branding | SaaS | Webapp Design Agency: Not “how do we look cool?” But: “Where could someone get stuck, frustrated, or embarrassed?” And how do we stop that before it happens? You can use this too. In your product. Your pitch. Your process. ✅ Find friction ✅ Remove it ✅ Before it even feels like friction That’s how you build trust. One thoughtful micro-decision at a time.

Shopping online still feels like a chore. Too many tabs. Too much comparing. Too much guessing. For something the internet has supposedly perfected, the burden is still on the buyer to do all the work. This past year, I’ve had a front-row seat watching teams at a16z speedrun build AI agent companies across legal, logistics, manufacturing, and other complex, operational domains. What’s striking isn’t just how capable these agents are, it’s that they already take responsibility for outcomes, not just information. Seeing that up close has changed how I think about e-commerce. I’ve spent much of my career around marketplaces and the classic playbook was powerful: bring fragmented supply online, aggregate it in one place, make it easy to search, and reduce friction at checkout. That model defined an era – but it’s now largely complete. Supply is online. Interfaces are optimized. Most improvements today are marginal. The next real shift won’t come from better filters or faster checkout. What I’m excited about heading into 2026 is AI-native marketplaces powered by agents that work for the buyer. Not recommendation engines or smarter ads. Agents that understand my preferences, constraints, and history and then go do the work on my behalf. These agents will help decide what to buy, when to buy it, and where to buy it from. They’ll negotiate prices, monitor availability, and optimize for outcomes over time. They’ll be solution-oriented, not product-oriented. I expect this to start in messy, high-friction categories like home repairs, professional services, and complicated travel. Places where the hardest part isn’t picking a product, but figuring out how to get the job done at all. That’s where AI agents will shine. Do you think we will see the first real AI marketplaces emerge next year - maybe even in time to make holiday shopping meaningfully easier?

I’d much rather spend my money on your website than have to find one that’s actually accessible. But too often, that’s the choice disabled people have to make - not between brands, but between possible and impossible. I don’t want to email your customer service team about missing alt text. I don’t want to explain that your checkout form doesn’t work with a screen reader. I just want to shop, read, book, or apply like everyone else. Accessibility isn’t an extra. It’s the difference between gaining a customer and losing one. Between being a brand people talk about and a brand people can’t even reach. Between being a brand people recommend or a brand people recommend avoiding. If you want our loyalty, start by giving us access. And, bonus point here, if your website does give us access, we tell our non-disabled friends and family! We’re not asking for special treatment - just equal opportunity to spend our money, our time, and our trust with you. #DisabilityInclusion #Disability #DisabilityEmployment #Adjustments #DiversityAndInclusion #Content

There’s something interesting that happens in moments like this. When markets shift and uncertainty creeps in, businesses are forced to adapt quickly. Customer behaviours change. Engagement moves. Priorities get sharper. And within that… there’s an opportunity. Not a small one either. Because while many organisations are focused on navigating change, very few are asking: Are we actually accessible to everyone trying to engage with us right now? We often think about accessibility in very narrow ways; ramps, physical spaces, or employment initiatives. All of these are important, but they're not the full picture. What about your digital platforms? Your website, your booking systems, your e-commerce journey, your apps? Can everyone navigate them easily? Can they understand the content? Can they complete a purchase or interaction without barriers? And if not… what is that costing you? Globally, people with disabilities represent a spending power of more than $18 trillion annually. That’s not a niche audience. It's a very significant part of the market. So in times where businesses are already evolving how they connect with customers, this is a powerful moment to pause and ask: Have we considered accessibility beyond the physical space? Do we understand where the gaps are in our customer journey? Are we unintentionally excluding people in the very channels we’re now relying on most? This should be seen as a real opportunity. Not to overhaul everything overnight, but instead to assess, understand, and prioritise. To use this moment strategically. Because when the pace picks up again in the UAE (and it absolutely will), the organisations that have taken the time to get this right won’t just be more inclusive.. They’ll be more competitive. More relevant. And, better aligned with the world we’re actually operating in. Accessibility isn’t a side conversation, it’s a growth conversation. #Accessibility Purple Tuesday #UAE #BusinessReady Digital Dubai #PeopleOfDetermination

The agents consumers actually want. Consumers are selective about delegation. When we asked them in our recent IBM Institute for Business Value 2026 Consumer Research Study which agents they actively want, four roles stand out. ▫️A deal hunter agent that monitors prices, promotions and loyalty rewards. ▫️A 24x7 customer service agent that resolves issues across touchpoints. ▫️A product review agent that validates claims and aligns choices with values. ▫️A personal shopper agent that respects budget, style and preferences. What they want is not automation for its own sake. It is relief from effort. This aligns with enterprise behaviour. While 49% of organisations already offer customer service agents, far fewer deploy deal hunters (35%), purchasing agents (31%) or lifestyle advisors (30%). Agentic commerce will not succeed by doing everything. It will succeed by doing the few things consumers actually invite. The IBV is the global number one rated consulting thought leader that delivers research-led insight at the intersection of business, technology and society. Sign up for the IBV here: https://lnkd.in/eav5Dc6R Our Consumer 2026 report combines surveys of 18,000 consumers across 23 countries and 200 retail and consumer products executives across 11 countries to examine how AI-enabled shopping, trust and precision spending are reshaping commerce. Read the report here: https://lnkd.in/eCvGijDa The paper was authored by me and Dee Waddell, Richard Berkman, Hiroshi Hasegawa, Carlos Capps, Sabu Gopinath, Joe Dittmar, Milad Safadi, Jeremy (Jez) Bassinder, Shantha Farris and led by the inimitable Jane Cheung, the Global Leader for Consumer Industries at the IBV. We are extremely grateful to the Industry Leaders who contributed to this report including Katherine Cullen, Vice President of Industry & Consumer Insights at the National Retail Federation, Byron Ells, Vice President, Marketing Technology and Digital Experience at Sobeys, Matthieu Houle, CIO of The ALDO Group, Stanislas Vignon, Head of Insights at Louis Vuitton Moët Hennessy (LVMH) as well as the numerous other clients who were interviewed. Also, the IBM contributors: Hugo Catarino, Pierre Charchaflian, Kostas Didaskalou, Karl Haller, Mark Innes, Colm O'Brien, Mary Wallace, and the #IBV team, Sara Aboulhosn, Steve Ballou, Douna Daou, Kathleen Townes Martin, @Thiago Sartori and Joanna Wilkins #IBMIBV #Consumer2026

At 12:43 AM, I got rear-ended on the motorway with my wife in the driver’s seat. The responder that comforted me wasn’t human – yet it beat 99% of support reps I’ve ever spoken to. Here’s how Aviva’s AI chatbot earned my trust: I was standing in my driveway, shaken and exhausted, after being rear-ended on the motorway. My wife was still trying to process what happened. The last thing I wanted to do was… • talk to an insurance agent • go through 5 levels of IVR • repeat myself for the third time …but I needed to make a claim. So I opened the app, just to see what I could do. The support I received completely changed my mood within seconds. And it wasn't a rep who made my day. That app was Aviva’s — and the entire flow was powered by AI. I was just a tired husband looking for help, and they met me exactly where I was. Here’s what they got right (and what every B2B business can learn from): 1) Move from 'personalization' to instant recognition. As soon as I opened the app, the system immediately • greeted me by name • pulled up my active policies • guided me like a concierge. In moments of stress, the LAST thing I want to do is “log in, verify, and explain myself.” Recognition builds trust. Fast. If your AI asks the user things you already know, it's annoying – not smart. 2) A guided journey beats a flexible one. At no point during my claim did I feel lost. Aviva's AI suggested my next step before I even typed:  → “New or existing claim?” → “What kind of incident?” → “Want to upload images now or later?” Simple prompts. Clear direction. Fast action. In high pressure moments like this, decision fatigue is real. People want to be guided – and that guidance gives them freedom, momentum, and clarity. 3) Human handoff wasn't gatekept. Here's the part that really earned my trust. At any point, I could:  → Request a callback → Ask for a live agent → Leave the session without restarting later That option was always visible, never hidden. It told me: “You’re not trapped. We’ve got you — however you want to engage.” Trust breaks when users feel trapped. You don't gain efficiency by hiding the human behind a fortress of menus. — I didn't expect that midnight claim to teach me so much about user experience. The best AI doesn't feel like AI at all. Rather, it feels like someone who thought about you in advance. So the next time you're building a digital journey, ask: → Do we recognise who our users are and guide them without overwhelm? → Do we let them opt out when it gets too much? → Would we enjoy using this at 1am, after a bad day? If the answer isn’t a big, bold YES – it’s time to rethink it. Your solution is shaping how your customers feel about your brand in their most vulnerable moments. Offer empathy + trust at scale. 

Question: If you had a bad experience with a company or product, would you buy from them again? The answer is "no" right? For disabled people, 75-80% of customer experiences are failures. That means that 75-80% of transactions for our community aren't repeated. That's pretty bad right? The impact of a negative experience resonates far beyond a single transaction. It can influence a customer's decision-making process and brand loyalty for the long term. In striving for improvement, businesses must recognise the importance of inclusivity and accessibility. By investing in accessible design, empathetic customer service, and continuous feedback loops, we can create an environment where every customer feels valued and understood. Here are some actionable steps to enhance the customer experience for everyone: * Prioritise accessibility: Ensure your physical and digital spaces are accessible to disabled people. This includes wheelchair ramps, accessible websites, and accommodating customer service practices. * Educate your team: Educate your staff to the diverse needs of customers. Training programmes that emphasise empathy and understanding can go a long way in fostering a positive and inclusive customer experience. * Feedback mechanisms: Establish channels for customers to provide feedback easily. Actively seek input from disabled people to understand our unique challenges and implement necessary improvements. * Adopt universal design: From product packaging to online interfaces, adopt a design philosophy that considers the diverse needs of all customers. Universal design benefits everyone and creates a more positive overall experience. * Transparent communication: Be transparent about your commitment to inclusivity. Communicate the steps you are taking to improve accessibility, both internally and externally. This fosters trust and demonstrates your dedication to positive customer experiences. Remember, creating a truly inclusive business environment not only improves the lives of disabled people but also enhances the overall customer experience for everyone. It's a win-win strategy that builds lasting connections and fosters brand loyalty. #InclusiveBusiness #CustomerExperience #AccessibilityMatters

Why would your users distrust flawless systems? Recent data shows 40% of leaders identify explainability as a major GenAI adoption risk, yet only 17% are actually addressing it. This gap determines whether humans accept or override AI-driven insights. As founders building AI-powered solutions, we face a counterintuitive truth: technically superior models often deliver worse business outcomes because skeptical users simply ignore them. The most successful implementations reveal that interpretability isn't about exposing mathematical gradients—it's about delivering stakeholder-specific narratives that build confidence. Three practical strategies separate winning AI products from those gathering dust: 1️⃣ Progressive disclosure layers Different stakeholders need different explanations. Your dashboard should let users drill from plain-language assessments to increasingly technical evidence. 2️⃣ Simulatability tests Can your users predict what your system will do next in familiar scenarios? When users can anticipate AI behavior with >80% accuracy, trust metrics improve dramatically. Run regular "prediction exercises" with early users to identify where your system's logic feels alien. 3️⃣ Auditable memory systems Every autonomous step should log its chain-of-thought in domain language. These records serve multiple purposes: incident investigation, training data, and regulatory compliance. They become invaluable when problems occur, providing immediate visibility into decision paths. For early-stage companies, these trust-building mechanisms are more than luxuries. They accelerate adoption. When selling to enterprises or regulated industries, they're table stakes. The fastest-growing AI companies don't just build better algorithms - they build better trust interfaces. While resources may be constrained, embedding these principles early costs far less than retrofitting them after hitting an adoption ceiling. Small teams can implement "minimum viable trust" versions of these strategies with focused effort. Building AI products is fundamentally about creating trust interfaces, not just algorithmic performance. #startups #founders #growth #ai

Last week at an AI healthcare summit, a Fortune 500 CTO admitted something disturbing: "We spent $7M on an enterprise AI system that sits unused. Nobody trusts it." And this is not the first time I have come across such cases. Having built an AI healthcare company in 2018 (before most people had even heard of transformers), I've witnessed this pattern from both sides: as a builder and as an advisor. The reality is that trust is the real bottleneck to AI adoption (not capability). I learned this firsthand when deploying AI in highly regulated healthcare environments. I have watched brilliant technical teams optimize models to 99% accuracy while ignoring the fundamental human question: "Why should I believe what this system tells me?" This creates a fascinating paradox that affects both enterprises, as well as people like you and me, so we can effectively use AI today: Users want AI that works autonomously (requiring less human input) yet remains interpretable (providing more human understanding). This tension is precisely where UI design becomes the determining factor in market success. Take Anthropic's Claude, for example. Its computer use feature reveals reasoning steps anyone can follow. It changes the experience from "AI did something" to "AI did something, and here's why" – making YOU more powerful without requiring technical expertise. The business impact speaks for itself: their enterprise adoption reportedly doubled after adding this feature. The pattern repeats across every successful AI product I have analyzed. Adept's command-bar overlay shows actions in real-time as it navigates your screen. This "show your work" approach cut rework by 75%, according to their case studies. These are not random enterprise solutions. They demonstrate how AI can 10x YOUR productivity today when designed with human understanding in mind. They prove a fundamental truth about human psychology: Users tolerate occasional AI mistakes if they can see WHY the mistake happened. What they won't tolerate is blind faith. Here's what nobody tells you about designing UI for AI that people actually adopt: • Make reasoning visible without overwhelming. Surface the logic, not just the answer • Signal confidence levels honestly. Users trust systems more when they admit uncertainty • Build correction loops that let people fix AI mistakes in seconds, not minutes • Include preview modes so users can verify before committing This is the sweet spot. — The market is flooded with capable AI. The shortage is in trusted AI that ordinary people can leverage effectively. The real moat is designing interfaces that earn user trust by clearly explaining AI's reasoning without needing technical expertise. The companies that solve for trust through thoughtful UI design will define the next wave of AI. Follow me Nicola for more insights on AI and how you can use it to make your life 10x better without requiring technical expertise.

If 15% of your customers can’t buy from you, that’s not an ecommerce strategy. That’s a leak. Over 1 billion people worldwide live with some form of disability. Until your store works for them, it’s not truly ready for the market. Accessibility isn’t a checkbox. It’s inclusive revenue and inclusive UX. At Commerce-UI, we know that accessibility helps everyone: - Alt text helps blind users, and also boosts your SEO. - Keyboard navigation supports people with motor disabilities, and also helps power users fly through checkout. - High-contrast design supports low-vision customers, and also helps someone shopping in bright sunlight on their phone. That’s the power of universal design. Whether we worked with Lady Gaga, Nour Hammour, Pangaia or any other client, we’ve always built with those principles in mind. And now, we’re sharing what we use ourselves: a free ecommerce accessibility checklist. Practical, actionable, and made to help anyone struggling with store accessibility take the next step. 👉 Grab the checklist below. Save it, share it with your dev team, and let me know: what’s been the hardest part of making your store accessible? #ecommerce #accessibility #webdesign