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It started during one of my user research projects. After a series of exciting user interviews, I hit a wall.
Synthesis was overwhelming: hours spent tagging quotes, building affinity maps, and organizing chaos.
Around the same time, AI is transforming workflows everywhere — yet nothing existed for UX designers and UX researchers.
That’s when it clicked: what if we had an AI-powered research companion that understood our conversations with users, detected themes, and surfaced emotional cues?
After conducting user interviews, the process of synthesizing them remains time-consuming, fragmented, and mentally draining, even with AI tools in the mix.
So, I set out to design a mobile-first AI app to turn interviews into insights faster, with less friction.
You can test the prototype by clicking on this link. For a better experience, I recommend using the Figma Mirror App.
Starting with primary research, I asked a set of questions to fellow designers and researchers I met during my journey at 10kdesigners to understand their real challenges during and after user interviews.
You can find the list of questions I asked fellow designers, ranging from junior to senior levels, in the attached Docs. Click here.
Through the conversations, I uncovered some core issues.
Pain Points