Given the fact that everyone’s on their devices a lot more, for brands looking to make a name for themselves, now’s the time to invest in UX.
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AI features can be powerful, but users still pause before trusting them. Not because they hate AI, but because the experience doesn’t make reliability obvious. This blog explores why trust breaks in AI products and the UX patterns that help users verify outputs, stay in control, and adopt AI with confidence.
A friend showed me a “cool” app—animations, pulsing buttons, and micro-interactions everywhere. For a minute it looked impressive. By minute three, he was negotiating with it: double tapping, second-guessing saves, hunting for missing filters. That’s when “cool” stops being the goal. Good UX often feels boring because it quietly gets you to the outcome and gets out of your way.
Some products make you ask, “Who approved this?” Not because they’re ugly but because they’re trying to be everything. From silly combos to bloated apps, unnecessary feature bundling adds confusion, breaks trust, and increases risk. Here’s how to spot good bundles vs noise.
GPay’s Shared Wallet streamlines group expenses with centralized payments, real-time updates, and contextual notes. It enhances transparency and usability, opening new possibilities for expense management.
Myntra’s Venie revolutionizes shopping with AI-driven video guidance, real-time insights, and two-way conversations. Replacing Maya, it boosts engagement and usability while unlocking new revenue opportunities.
This project attempted to identify the gaps in this food delivery app and propose UI/UX design ideas to expand Swiggy in different ways for the users to use it for more than just a food delivery app, in turn setting it apart from its competitors.
Medical & Healthcare
Cybersecurity
Travel & Hospitality
Edtech
Enterprise
Non-Profit
Fintech
Agritech
Retail & Real Estate
Design for AI