Pranjal Chawan

Pranjal Chawan

UX Professional | AI Powered UX Solutions | Product Design & Design Systems | User-Centered Design, UX Research & Cross-Functional Collaboration | Fintech / BFSI, Ecommerce & SaaS

Recent LinkedIn Posts

Most designers don't have a productivity problem. They have a prioritization problem.

After 19 years in UX, I've watched genuinely talented designers burn out — not from lack of effort, but from pouring energy into the wrong work. The Eisenhower Matrix shifted how I lead design teams, and honestly, how I think about my own time.

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After 19 years in UX, one thing remains consistently undervalued: planning for the design and research work itself.

Not every project needs the same level of research or design investment — and that's exactly why estimation matters. Here's how I map clarity, risk, and complexity to estimate UX work before it ever hits a roadmap.

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Most AI projects fail before they ever touch a model. The culprit? It's almost never the technology.

9 AI Implementation Realities every designer and product leader should know — from "most AI problems are actually UX problems" to why simple solutions always win. UX thinking belongs at the center of every AI project, not as an afterthought.

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UX designers aren't afraid of AI. They're trained to see what others miss.

AI generalizes patterns. UX finds where those patterns break — that's not the same skill set. After 19 years in UX, you learn to spot consequences before they happen. That's not resistance, it's pattern recognition.

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How we measure the success of our design work.

Beautiful design that doesn't solve real problems is just decoration. Now I approach every project with three questions: what user behavior are we trying to change, how will we measure it, and what business outcome does it enable?

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