What we believe
Research’s real output is conviction, not certainty.
The power is a team that feels the problem, can picture the customer, and has the language to push a stronger point of view.
Company
Usercall - About
Usercall is an AI-moderated qualitative research platform. Voice interviews, then evidence-backed thematic analysis. We built it for teams who need research-grade insight without a dedicated research function or a six-week timeline.
Manifesto
The most powerful outcome of qualitative research isn’t insight. It’s conviction.
We ask research to validate, de-risk, test, or tell us which idea will win. But research rarely gives that kind of certainty, which is why it so often gets sidelined.
A few interviews won’t prove demand. A concept test won’t predict the future. A positive reaction won’t make a weak strategy safe.
The real power of research usually isn’t a groundbreaking insight. Often the insight is so obvious your team wonders why they spent the time and money to hear it.
But that obvious insight is creative fuel. Now everyone feels the problem, not just understands it. Now everyone can picture the one customer who needs the idea to exist. Now everyone has the language, tension, frustration and emotional texture to push a stronger point of view.
That is the real point of research. Not to hand you certainty, but to fuel inspiration and build conviction from the reality of the people you’re trying to serve.
What we push against
Research as a certainty machine.
Validate, de-risk, tell us which idea wins. Research can’t honestly deliver that, so it either gets sidelined or overclaims.
What we promise
Conviction you can stand behind.
Hear real people at scale, feel the problem, and keep every finding traceable and honest about its limits. AI does the legwork, never the judgment.
How we work
Three rules we don’t bend. Even when it would be easier.
They are why a finding from Usercall can be traced, questioned and trusted by the people who have to act on it.
Structured coding, not surface summaries.
Every interview goes through the same systematic coding. Themes are tagged to specific excerpts, not paraphrased into a paragraph. Trace any conclusion back to where it came from, and change the coding if you disagree.
Adaptive interviews, not scripts.
The AI decides in the moment whether an answer needs a follow-up, and how many. The way a skilled interviewer would, not a branching survey with a preset question count.
Self-serve, from day one.
No sales call to start. No minimum commitment. Test whether this works for your research before anyone asks you to get on a call.
How we started
A problem the founder kept running into. For 15 years.
Teams needed real, in-depth user insight and rarely had the time, budget or researchers to get it. Usercall closes that gap: AI-moderated interviews, plus the rigorous, evidence-backed analysis that used to need a research team.
Junu Yang
Founder of Usercall. 15+ years in qualitative research and insight led strategy
Junu has spent 15+ years in qualitative research and insight led strategy: moderating interviews, coding transcripts and turning them into decisions for brand strategy, concept testing and digital product work. Before Usercall he worked at IDEO, Frog and R/GA on products used every day by millions of people.
He kept meeting the same problem. Teams needed depth from real customers and had no time, budget or researcher to get it. Usercall is his answer: AI-moderated voice interviews, then structured thematic analysis the researcher still controls, with every finding traceable to the person who said it.