The customers most affected by the change
Ground the study in customer evidence relevant to this decision.
Sunzu for startup product teams
A small product team.
A stronger research habit.
Discovery, delivery and the next release all need your attention. Give your team a way to explore customer questions and challenge design decisions as the work moves forward.
Used by
- Insights analysts
- Product managers
- UX designers
- Marketing strategists
- Copywriters
- Go-to-market leads
- Growth managers
Trusted by
Backed by
- Microsoft for Startups
- NatWest Accelerator
The work in front of you
Make audience evidence part of the weekly conversation.
Use the web app with your team, or run supported studies from a compatible AI assistant through MCP. Keep the next question close to the work.
- Depth interviews
Turn support themes into discovery questions
Explore the motivations behind recurring requests and complaints before deciding how to respond.
Explore depth interviews - Concept testing
Compare ideas during planning
Use concept testing to challenge competing approaches before design and engineering commit to one.
Explore concept testing - UX testing
Review the first-use experience
Investigate likely friction in onboarding and activation, then decide which changes deserve a live test.
Explore ux testing
Your next study
What should we learn before the next release?
Bring a real question. We’ll scope the audience, evidence and study together.
Start with what you have
Release question
Product concepts
Customer and support evidence
From research to a decision
A research question the whole squad can act on
Keep the question, the evidence and the next action connected.
Ask
Does the proposed onboarding help a new customer reach their first useful result?
Examine
Review audience expectations against the steps in the experience. Look for uncertainty about what to do, why it matters and what happens next.
Act
Agree the next design change and the evidence you need from real usage after release.
Illustrative research brief. This is an example of how to use findings, not a completed customer study or a product screenshot.
Internal back-testing
Concept testing. Measured against a human reference.
Sunzuin minutes85%
Human expert with AIin days58%
Research, 500+ humansin months100%
Sunzu internal back-testing. Research, 500+ humans is the reference set to 100%. This is a study-specific comparison, not an overall accuracy score or a guarantee for your study.
From our customers
Relied on by global experts
Director, Consumer Insights & Strategy
In just a couple of months, over 170 of our colleagues have run over 500 studies.
We’re now directly integrating audiences into many of our research, product and marketing workflows.
Director, Global Product and Design UX Research
In a market flooded with AI-generated noise, this was the first platform that genuinely earned our trust.
By grounding its models in research principles, behavioural science, and real customer data, it delivers insights that feel credible, transparent, and actionable.
It changed our perspective on what’s possible with AI in customer research.
A few useful answers
Before your first study.
Start with a clear audience, one decision and the evidence you already have. Sunzu supports the research workflow, while your team remains responsible for interpreting findings and validating important decisions.
The web app supports depth interviews, concept testing, UX testing and ad testing. Choose the study around the decision, from discovery and design to positioning and campaigns.
Sunzu creates audience characters grounded in customer evidence and enriched with a behavioural corpus. They are simulations. Use findings to explore directions and sharpen questions; lived experience, unexpected behaviour and consequential decisions still need research with real people.