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Customer research at the speed of thought

AI designs the research, runs it with 8M+ verified participants, and analyzes every answer autonomously.

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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
1

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

Open-ended
2

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

Linear scale
3

Which onboarding step felt the most frustrating?

Single select · 5 options
4

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

Open-ended
5

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

Multi-select · 6 options
6

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

Open-ended
7

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

Open-ended · Follow-up
8

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

NPS (0–10)
Screening Questions
1

When did you first sign up for the product?

Single select · 4 options
2

How far did you get in the onboarding process?

Single select · 3 options
3

Which best describes your role?

Single select · 5 options

3,000+ studies completed for teams at

Most decisions are made without talking to a single customer

Slow

Weeks to months per study. By the time you have answers, the moment has passed.

Expensive

$10-30K per study and teams still walk away unsure.

Unreliable

30-50% of human data has quality issues — and it's getting worse.

AI can analyze what you already know. With CleverX you can find out what you don't.

From question to insight in three steps

01

Design

Describe your research goal in natural language. AI helps you pick the right method, generates screeners, questions, tasks, and recruitment criteria — a complete study in minutes.

02

Source

8M+ verified participants across industries — from entry-level to CXO. Bring your own audience or use simulated agents. Every data source, one platform.

03

Analyze

AI analyzes every response in real-time — surfacing themes, extracting quotes, and generating reports. Export as PDF, DOCX, or CSV. Deep insights humans miss.

Run any use case at the speed of thought

AI Moderated Interviews

AI moderators with configurable voice, tone, and probing style. Natural conversations that follow up, probe deeper, and push back — at scale.

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AI Moderated Testing

The depth of moderated testing at the scale of unmoderated. AI guides participants through prototype and usability tasks, asking contextual questions along the way.

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Human Moderated Interviews

Live 1:1 video interviews with Google Meet, Zoom, or Teams. Smart scheduling with automatic load balancing across your team.

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Human Moderated Testing

Watch users interact with your product live. Ask questions, observe behavior, and capture recordings — with hidden observer mode for stakeholders.

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Unmoderated Testing

8 task types — prototype tests, first-click, card sorts, tree tests, and more. Participants complete tasks on their own schedule.

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Surveys

15 question types with skip logic and branching. Deploy to thousands of participants in minutes with real-time analytics.

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Research you can trust

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End-to-end encrypted
Behavior monitoring
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8M+

B2B and B2C participants

3K+

Studies executed

24 hrs

Avg time to first insight

Customer stories

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