AI-Powered User Interviews
An AI moderator that scaled qualitative research 10× - without losing the human touch.
A custom AI-driven interview platform, designed and built to remove manual bottlenecks and scale qualitative research inside a resource-constrained team.
Our team was conducting too few qualitative interviews due to limited staff, time, and budget for external tools. We defaulted to quantitative research, which led to assumptions, product gaps, and costly rework after deployment. We needed a scalable, resource-light way to run more user interviews without overburdening the team.
- 01Decreasing member engagement and retention
- 02Apps lacked empathy & personalization
- 03Hunch & assumption-based product roadmaps
If we couldn't scale research with people, we could scale it with AI as a moderator. Instead of manually preparing guides, scheduling interviews, and conducting them one by one - what if we created an AI-powered interviewer that could generate tailored guides, conduct qualitative interviews in a natural voice, and synthesize results automatically across dozens of sessions? I designed and built the platform in Lovable, later integrating Claude Code for advanced functionality.
- 01AI Interview Guide Generation - eliminated 5-6 hours of manual prep per cycle
- 02Configurable AI Interviewer Personas - tone, style, role tuned to the research context
- 03Voice & Chat Interviews - ~70% preferred voice, finding it more natural
- 04Insights - many interviewees preferred the AI persona, feeling safer and able to think longer
- 05Automated Synthesis - surfaced themes, gaps, and insights that experienced researchers may have missed
- 0110× scale-up - from ~5 interviews per month to 40 within two months
- 02Time savings - hours of manual prep eliminated per cycle
- 03Richer insights - automated synthesis surfaced unbiased patterns
- 04Adoption - used to scale, not replace, human-led interviews