Usability sessions on prototypes, onboarding interviews, jobs-to-be-done conversations, feature feedback — turned around in days, not quarters.
— Marcus W., Cabinetmaker · Detroit · Concept Test
This is the kind of feedback you can’t fake out of a Likert scale. You only get it when someone is actually given the room to explain themselves.
Each one runs async, in parallel. Get back transcripts, highlight reels, and a written summary the same week.
Share a Figma link or a video walkthrough, get task-based feedback, and hear the moments where the user got stuck. The AI probes for what specifically broke down.
Catch the moments where new users light up vs. churn. Time-to-value research, first-week activation interviews, “what did you expect this to do” probes.
The classic JTBD interview pattern, run async at scale. Hear the trigger, the alternatives, the moment they decided to switch — with intelligent follow-ups that probe the real story.
Drop a feature in front of a real user. Get the reaction, the misunderstanding, the workaround they’d invent. Repeat across cohorts.
Continuous discovery interviews, beta-cohort research, IA tree-testing follow-ups, expectation-vs-reality interviews, churn-trigger interviews — bring the brief, the AI runs the conversation. Keep your sprint research budget in your sprint, not your annual planning cycle.
Research-on-demand instead of research-as-a-quarterly-event.
Drop in a Figma link, a JD-style brief, or just a paragraph. The AI drafts the discussion guide.
Send a link to your beta list, your activated users, your churned users — or use a panel partner.
Twenty interviews at once is the same effort as one. Sessions are async, on any device, voice or video.
Watch a 4-minute highlight reel. Drop quotes into the planning doc. Ship the next change with confidence.
Free for participants. Pay per interview — starting at $2. No platform fees, no subscriptions.
