UX Design And User Adoption

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.

Over the last year, I’ve seen many people fall into the same trap: They launch an AI-powered agent (chatbot, assistant, support tool, etc.)… But only track surface-level KPIs — like response time or number of users. That’s not enough. To create AI systems that actually deliver value, we need 𝗵𝗼𝗹𝗶𝘀𝘁𝗶𝗰, 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗿𝗶𝗰 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 that reflect: • User trust • Task success • Business impact • Experience quality    This infographic highlights 15 𝘦𝘴𝘴𝘦𝘯𝘵𝘪𝘢𝘭 dimensions to consider: ↳ 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆 — Are your AI answers actually useful and correct? ↳ 𝗧𝗮𝘀𝗸 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻 𝗥𝗮𝘁𝗲 — Can the agent complete full workflows, not just answer trivia? ↳ 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 — Response speed still matters, especially in production. ↳ 𝗨𝘀𝗲𝗿 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 — How often are users returning or interacting meaningfully? ↳ 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗥𝗮𝘁𝗲 — Did the user achieve their goal? This is your north star. ↳ 𝗘𝗿𝗿𝗼𝗿 𝗥𝗮𝘁𝗲 — Irrelevant or wrong responses? That’s friction. ↳ 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗗𝘂𝗿𝗮𝘁𝗶𝗼𝗻 — Longer isn’t always better — it depends on the goal. ↳ 𝗨𝘀𝗲𝗿 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 — Are users coming back 𝘢𝘧𝘵𝘦𝘳 the first experience? ↳ 𝗖𝗼𝘀𝘁 𝗽𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 — Especially critical at scale. Budget-wise agents win. ↳ 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝘁𝗵 — Can the agent handle follow-ups and multi-turn dialogue? ↳ 𝗨𝘀𝗲𝗿 𝗦𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻 𝗦𝗰𝗼𝗿𝗲 — Feedback from actual users is gold. ↳ 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 — Can your AI 𝘳𝘦𝘮𝘦𝘮𝘣𝘦𝘳 𝘢𝘯𝘥 𝘳𝘦𝘧𝘦𝘳 to earlier inputs? ↳ 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 — Can it handle volume 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 degrading performance? ↳ 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 — This is key for RAG-based agents. ↳ 𝗔𝗱𝗮𝗽𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗲 — Is your AI learning and improving over time? If you're building or managing AI agents — bookmark this. Whether it's a support bot, GenAI assistant, or a multi-agent system — these are the metrics that will shape real-world success. 𝗗𝗶𝗱 𝗜 𝗺𝗶𝘀𝘀 𝗮𝗻𝘆 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗼𝗻𝗲𝘀 𝘆𝗼𝘂 𝘂𝘀𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀? Let’s make this list even stronger — drop your thoughts 👇

Ever wondered why that 4.8⭐ Amazon product turned out to be junk? Behind those ratings lies a booming underground economy, one where trust is for sale. In a new investigation for Mint, I went inside Telegram and WhatsApp groups fuelling India’s fake review racket. Here's what I found: ✅ Leave a 5-star review ✅ Get a full refund or cash ✅ Never even use the product (sometimes, not even receive it) The entire operation is shockingly well-oiled: ** Excel sheets track order IDs and review links ** Google Forms capture screenshots, timelines and payment details ** Mediators, often tied to digital marketing agencies, run the show ** Deals are posted daily, involving products from both lesser-known and popular consumer brands Amazon and Flipkart say they’re cracking down. But for every account that gets banned, ten more pop up with a new number and a fresh strategy. This is not just review manipulation, it’s a parallel marketplace built on deception. And every time we buy something based on those “verified” stars, we might be walking into a trap. Read my full investigation for Mint: Would love to hear what this says about: The incentives that drive such behavior (Kunal Shah Kunal Bahl 👀) Whether BIS rules can actually clean this up (Nikhil Pahwa, your take?) How influencers think about trust in product reviews (Neha Nagar, Revant Himatsingka (Food Pharmer) Story link: https://lnkd.in/gewd-EAC #FakeReviews #Ecommerce #ConsumerTrust #India #OnlineShopping #Mint #DigitalEthics

The Brutal Truth About Consumer Trust in Home Care Why do some brands inspire trust effortlessly while others struggle to convince consumers? Home care isn’t like beauty or food, where customers instinctively check labels. For decades, legacy brands have relied on familiarity over transparency—building trust through big advertising spends rather than real ingredient disclosures. But that’s changing. Consumer trust is now shifting toward brands that disclose, educate, and take a stand. 1️⃣ The Parle-G Effect: Legacy Trust vs. New-Age Transparency For years, people have trusted brands like Surf Excel, Vim, and Harpic—not because they knew what was inside, but because they were always there on shelves and TV screens. This is the "Parle-G effect"—familiarity breeds trust. But today, trust is no longer inherited; it’s earned. The rise of brands like Kapiva (Ayurveda transparency), The Whole Truth (ingredient honesty) shows how modern brands build trust differently—by being upfront about what’s inside. 2️⃣ The Johnson & Johnson Shock: When Legacy Trust Breaks For decades, J&J was the gold standard for baby care. But lawsuits over talcum powder contamination with asbestos shattered consumer confidence worldwide. Even in India, brands like Mother Sparsh surged because young parents started reading labels—they no longer assumed safety just because a product was from a heritage brand. 3️⃣ The Patanjali vs. FSSAI Scandal: Why Trust Must Be Backed by Proof Consumers initially believed in Patanjali’s “natural” positioning. But repeated quality violations (like the recent FSSAI crackdown on misleading claims) eroded trust. The lesson? Trust cannot be built on slogans alone. If a brand claims toxin-free, natural, or safe—it must prove it consistently. 4️⃣ The Decathlon & Ikea Strategy: Trust Through Radical Transparency Decathlon shares detailed product breakdowns—how much polyester is used, where a product is made, and even the carbon footprint. Customers trust them because they don’t have to “guess” what they’re buying. Ikea lists every material, every environmental impact, and even assembly instructions upfront. No surprises. Just facts. In home care, Koparo is taking the same approach—putting ingredients front and center. Not just saying "toxin-free," but explaining why certain ingredients matter for better or worse (like the bioaccumulation of harmful chemicals in traditional cleaners). So What’s Next for Consumer Trust in Home Care? ✅ Brands that educate will win over brands that advertise. ✅ Ingredient transparency will become a non-negotiable (just like food labels). ✅ Consumers will demand not just safe products—but proof of safety. At Koparo, we’re all in on radical transparency. No vague claims. No marketing gimmicks. Just home care that’s safe, effective, and backed by science. The real question is—do you know what’s inside your cleaning products? #ToxinFree #Koparo #HomeCareRevolution 🚀

HealthTech AI won’t work if no one trusts it. And right now, trust is at an all-time low. Everyone’s hyping AI as the future of healthcare. They’re not wrong. AI can improve care, save time, and reduce errors. But only if clinicians trust it enough to use it. And that’s where most HealthTech AI I come across fails. Not at the model. The mindset. Because trust isn’t a feature. It’s the product IMO. 1. Transparency is worthless if it’s selective. Showing clinicians what the AI gets right is easy. Showing them where it fails – that’s where trust is built. Where does the model guess? What inputs skew the result? How often has it been wrong in their context? If you’re not leading with limitations, you’re hiding them. 2. Clinicians don’t trust black boxes. They trust black-and-white accountability. Here’s what they want to know: If this tool gives bad advice, who’s responsible? If it harms a patient, who answers for it? Right now? The answer is often a shrug. Until AI vendors, hospitals, and regulators define shared liability, don’t expect clinicians to stick their necks out. 3. AI that adds steps doesn’t add value. Here’s how most AI tools are pitched: “Look at this amazing dashboard!” Here’s how they’re received: “Great, now I need to open another tab.” Trust is eroded every time AI makes the job harder, not easier. If the tool isn’t embedded directly into existing workflows – and if it doesn’t save time – it’s resisted. 4. Co-design or no adoption. You can’t build trust in a vacuum. If clinicians aren’t involved from day one – not just as users, but as designers – they won’t trust what lands on their desk. They know what they need. They also know what they don’t need: Another solution in search of a problem. Trust scales slower than code. You can’t “move fast and build trust.” Trust takes time. Trust takes proof. Trust takes owning up to what your AI can’t do – especially when everyone else is promising it can do everything. So, how do we close the trust gap? Design for invisibility. The best AI is felt, not seen. Show the flaws first. Don’t wait to be asked. Cut work, not corners. If your AI adds tasks, it subtracts trust. AI can improve healthcare. But it doesn’t matter how powerful your algorithm is, if the people meant to use it don’t believe in it. HealthTech isn’t short of innovation. It’s short of trust. Until we fix that, we’re not improving healthcare. We’re just running more pilots.

People don’t buy from brands—they buy from people they trust. Trust is the foundation of every successful social media sale. Some think flashy ads and viral posts are the key to social media sales. But the truth? Consistent trust-building beats short-term gimmicks every time. Show up consistently with valuable content. Engage genuinely with your audience—respond to comments, ask questions, and be human. Share testimonials and real customer stories to showcase authenticity. Be transparent—if you make a mistake, own it and make it right. Many believe that selling on social media is about having a large following. In reality, a smaller, engaged audience that trusts you can outperform massive, unengaged followers. I’ve spent years helping brands build trust on social media, transforming their online presence from overlooked to overbooked. I’ve seen firsthand that trust is the currency of the online world. When I started my journey into social media marketing, I thought success was all about going viral. I chased trends, tried every hack, and yet, sales were flat. Gradually, I shifted my focus to trust. I started listening to my audience, providing real value, and showing up authentically. The transformation was slow, but steady. Sales began to climb, not because of a single viral moment, but because my audience trusted me. In the noisy world of social media, trust is your superpower. Build it, nurture it, and watch your business thrive. #branding #socialmediastrategist

Not every patient trusts (or distrusts) healthcare AI equally. A recent global survey published in @JAMA Network Open found interesting variances among groups, according to gender, tech literacy and health status. The survey of nearly 14,000 hospital patients in 43 countries sought to assess patient attitudes toward AI. Among the findings: ·      Most patients were positive about the general use of AI in healthcare (57.6%) and favored its increased use (62.9%) ·      Female patients were slightly less positive about the general use of AI (55.6%) than males (59.1%) ·      The worse their health, the more negative patients felt about AI ·      Not surprisingly, the more patients knew about AI and tech in general, the more positive they were about AI in healthcare.   There was also a clear lean toward explainable AI, with 70.2% of patients indicating a preference for AI with transparent decision-making processes. That’s higher than a previous U.S. study which found that only 42% of patients felt uncomfortable with highly accurate AI diagnoses that lacked explainability. Whatever the percentage, it’s clear that patients want to know what's going on "under the hood" with algorithms that support clinical decision-making. AI implementation must be transparent with clear explanations of decisions for providers and patients. That is the only way we can build the necessary foundation of trust in the technology that will allow it to achieve its full potential. You can read the survey results here: https://lnkd.in/dJmkRtSw #HealthcareAI #HealthcarePolicy #GenAI #AIHealth

We need to continually upgrade our Humans + AI capabilities: in ourselves, our organizations, and embedded in the systems we use. The objective at all times is for humans to sharpen their cognition and grow through the interaction. This framework suggests 8 levels for Humans + AI engagement, defining the interaction style and value derived from each. This can be used both for developing skills and designing systems. The levels are: 1. TASK OUTSOURCING Vending machine AI completes discrete tasks via single prompts, providing instant results with minimal user learning or growth. 2. SMART RETRIEVAL Knowledge scanner Users retrieve targeted information or examples from AI, boosting fact-finding efficiency and potentially sparking deeper inquiry. 3. GUIDED DRAFTING Rapid composer AI drafts based on human framing, accelerating content creation while refining user judgment and voice. 4. REFLECTIVE PROMPTING Reasoning mirror Prompts elicit assumptions and counterpoints, improving argument quality and fostering self-questioning habits. 5. DIALECTIC EXCHANGE Sparring partner Human and AI engage in iterative probing exchanges, stress-testing ideas and increasing intellectual resilience. 6. COLLABORATIVE SYNTHESIS Multi-agent council Multiple AI agents present distinct views for human moderation, enhancing synthesis skills and embracing diverse expertise. 7. METACOGNITIVE ORCHESTRATION Process coach AI mirrors cognitive processes and suggests refinements, sharpening thinking workflows and bias awareness. 8. CO-EVOLUTION FLYWHEEL Symbiotic loop Continuous human-AI interaction builds an evolving knowledge graph and fosters mutual insight and mastery. How are you engaging at these levels or what improvements to the model do you suggest?

📱 Designing for Thumbs 🧠 Here’s how users hold their phones: • 49% use one hand • 36% cradle the phone (supporting with one hand, interacting with the other) • 15% use two hands This makes a huge difference in how we design mobile interfaces. If key actions aren’t within easy thumb reach, we create unnecessary friction. Here’s a quick breakdown of the thumb zone: 🟢 Comfort zone – effortless, natural access 🟡 Stretch zone – reachable, but requires effort 🔴 Risk zone – awkward or frustrating to tap If your primary actions sit in the red — your design is likely causing frustration. ✨ Great mobile UX isn’t just clean — it’s comfortable. 💡 I always position primary actions in the green zone — especially navigation, CTAs, and core gestures. Small shifts here make a big difference in usability. Let’s keep bridging the gap between beautiful and usable. 📚 Recommended reads: The Thumb Zone – Scott Hurff - https://lnkd.in/dQyzEjBq One-Handed Mobile Use – Luke Wroblewski - https://lnkd.in/dg5g3QMZ #UXDesign #MobileDesign #UIDesign #ThumbZone #ProductDesign #MobileUX #Figma #DesignThinking #Accessibility #HumanCenteredDesign

70% PDPs bury critical info below the 3rd fold. (where less than 40% visitors reach) Leading to: – Shoppers unable to understand USPs – High bounce rate or drop-off in first fold – Less than 10% add to cart rate Showing the right things, at the right time, in the right order is critical for conversion. In this breakdown, I’ve made 11 strategic changes that improve content hierarchy and make a page convert better. 1. Add USP badges. These badges highlight product suitability and certifications, helping users see if it fits their needs and values. 2. Have a concise product title and short description. Place this above the product image. This helps users understand what the product is and why it’s useful right away. 3. Show awards that the product has won. This builds credibility. Especially in skincare and health care. 4. Showcase product thumbnails. This increases engagement with the image gallery. Helping more visitors learn about the product and convert. 5. Add key product USPs. These short notes give users an instant sense of what makes the product stand out, capturing interest without needing to read full descriptions. 6. Add clear bullet points for key product benefits. Explain exactly how the product works and what users can expect, making it easy to scan and understand the value. 7. Make the add to cart CTA stand out. Avoid stroke outline and keep a fill. A/B test having a sticky add to cart CTA. 8. Place trust signals closer to the purchase button. When shipping and return details appear right where buying decisions happen, it reduces the friction that causes cart abandonment. 9. Highlighting what's NOT in the product with clear icons. Helps to understand the brand's values and can trust that it aligns with their ingredient preferences. 10. Include before/after photos. Visual proof of results paired with clear benefit statements builds credibility. Helps skeptical shoppers see real evidence. 11. Add a "Complete Your Routine" section. Suggest complementary products to guide customers toward building a full regimen, naturally increasing order value while helping them succeed. Other UX/UI and CRO changes I did: – Moved product name above the gallery – Added sneak peek on the next image – Replace paragraphs with bullets P.S - Educational, visual PDPs build trust and make it easier for shoppers to buy. Remember, most visitors get distracted easily, so you want to really optimize the first 2 folds. If you want to get a CRO / UX audit for your store, reach out to me on DM. #conversionrateoptimization