01/Muse AI Companion
Product design & AI
Selected work
Product decisions made visible.
Two case studies showing how I move from ambiguous questions to testable product direction. One is open — the other is available on request.
02/Social dining app
Internship project
How I work
A process that earns its decisions.
The steps flex with the problem, but the order of operations stays the same: understand, frame, prototype, validate.
- 01
Understand before designing
I start with research — interviews, competitive analysis, and app-store or field evidence — so the problem I design for is the real one, not the visible one.
- 02
Frame and make tradeoffs visible
I map assumptions, journeys, and constraints so the team can see what we're betting on and argue about concrete choices instead of abstractions.
- 03
Prototype the riskiest part first
Rough flows and clickable prototypes go in front of people early, while the design can still change without sunk cost.
- 04
Validate, then simplify
Testing tells me what to cut. The final design is usually smaller and clearer than the first one — on purpose.
Toolbox
Tools I think with.
Tools change; the habits behind them don't. This is the current kit I use to research, design, and communicate.
Design & prototyping
FigmaFigJamFigma prototypingDesign systems
Research & testing
User interviewsUsability testingAffinity mappingJourney mapping
AI & exploration
ChatGPTClaudeAI prototyping
Communication & handoff
NotionDev handoff in FigmaWritten rationale
Building something useful? I’d love to help.
Let's chat
gandiharshita042@gmail.com