Each venture’s own intended customers
Ground the study in customer evidence relevant to this decision.
Sunzu for accelerators and venture studios
Help every team
ask the next better question.
Across a cohort or venture portfolio, the same uncertainty keeps appearing: whose problem is this, which proposition matters and what should the team validate next? Build audience research into those conversations.
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
Turn mentoring advice into a testable next step.
Start with one venture and a real decision. Discuss how a focused research workflow could support the way you work with a cohort or portfolio.
- Depth interviews
Make office hours more concrete
Explore a team’s customer question with depth interviews, then identify what they need to ask real people.
Explore depth interviews - Concept testing
Pressure-test competing propositions
Compare how an intended audience responds to different approaches before a venture commits to one.
Explore concept testing - UX testing
Review the first product experience
Help teams explore likely friction in an early design and set a clearer direction for the next iteration.
Explore ux testing
Your next study
Which assumption should this venture test next?
Bring a real question. We’ll scope the audience, evidence and study together.
Start with what you have
Venture hypothesis
Customer conversations
Proposition alternatives
From research to a decision
A focused next step for a portfolio team
Keep the question, the evidence and the next action connected.
Ask
Is the venture solving a frequent problem or an occasional inconvenience?
Examine
Explore the audience’s context, existing workarounds and reactions to the proposed solution. Keep the strength of the underlying evidence in view.
Act
Define a customer interview or product experiment that can challenge the most consequential assumption.
Illustrative research brief. This is an example of how to use findings, not a completed customer study or a product screenshot.
Internal back-testing
Depth interviews. Measured against a human reference.
Sunzuin minutes76%
Human expert with AIin days54%
Human insights, retestedin months100%
Sunzu internal back-testing. Human insights, retested is the reference set to 100%. The same humans were retested within a two-week interval. 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.
A standard portfolio package is not published here. Bring your programme size, venture needs and research goals so Sunzu can discuss scope and pricing with you.
Each study needs an audience relevant to its customer question. Distinct ventures should not assume that evidence or findings from another company represent their own customers.
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.
Sunzu for accelerators and venture studios