Autonomous user research
for product teams

Turn research ideas into complete studies in minutes. AI autonomously designs the study, recruits participants, and analyzes results.
Ship with evidence, not assumptions.

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User Onboarding Research

I want to understand why new users drop off during onboarding and what would make them stay.

The user wants to investigate onboarding drop-off. I should design a qualitative interview study targeting new signups who abandoned the process. I'll focus on understanding emotional friction points, expectation mismatches, and moments of confusion. The screener should filter for users who signed up in the last 30 days but didn't complete setup...

I'll design a user interview study targeting new signups who didn't complete onboarding. This will help uncover the friction points and what improvements would increase activation.

Added 3 screening questions

Created 8 interview questions

Set up recruitment criteria

Interview Questions →

8 questions about onboarding experience

Interview Questions

Walk me through your experience from signing up to the point where you stopped.

Open-ended

On a scale of 1–10, how easy was it to understand what to do at each step?

Linear scale

Which onboarding step felt the most frustrating?

Single select · 5 options

What were you hoping to accomplish when you first signed up?

Open-ended

Which of these would have helped you complete setup? Select all that apply.

Multi-select · 6 options

Was there a specific moment you considered giving up? Tell me about it.

Open-ended

How does this onboarding compare to similar products you've used recently?

Open-ended · Follow-up

How likely are you to recommend this product to a colleague?

NPS (0–10)

Screening Questions

When did you first sign up for the product?

Single select · 4 options

How far did you get in the onboarding process?

Single select · 3 options

Which best describes your role?

Single select · 5 options

Insights trusted by teams at

THE PROBLEM

Your team ships fast.
Your research doesn't.

Product teams make hundreds of decisions every sprint. Most are made without talking to a single customer. Not because they don't care — because research has never been able to keep up.

Studies take weeks to design. Recruiting the right participants takes even longer. Quality is inconsistent. And the workflow is duct-taped across five different tools — one for study design, another for recruitment, another for moderation, another for transcription, another for analysis. Every handoff loses context, adds cost, and slows you down.

What if the entire workflow lived in one place — and most of it ran itself?

HOW IT WORKS

From idea to insight in three steps

Design

AI agent picks the right method, creates the screeners, questions, tasks and sets up the entire study. From prompt to publish-ready study.

Recruit

8M+ B2B and B2C participants. Bring your own or let us recruit. Need faster feedback? Use AI simulated participants for rapid iteration.

Analyze

AI analyzes every response in real-time, surfacing themes, extracting quotes, and generating shareable reports. Answers your team can act on.

AI STUDY BUILDER

Research-grade before you launch

AI catches what you miss

Flags leading questions, response bias, and double-barreled questions in real-time and rewrites them for you. Your study is optimized before a single participant sees it.