The client’s priority customers for the decision at hand
Ground the study in customer evidence relevant to this decision.
Sunzu for product and ux consultants
Your judgement.
With evidence behind it.
As a fractional CPO, product consultant or UX specialist, you are paid to recommend a direction. Add audience research to the judgement and experience you bring to each engagement.
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 your reasoning easier for clients to follow.
Bring source references, audience reactions and confidence into your advisory work. Use the findings to support the decision you own.
- Depth interviews
Challenge the assumptions in discovery
Explore audience needs and concerns before turning an initial diagnosis into a product recommendation.
Explore depth interviews - Concept testing
Give the recommendation a comparison
Test alternative concepts so the client can understand why you favour one direction and what it trades off.
Explore concept testing - UX testing
Focus a UX engagement
Use a study to explore likely friction in a critical experience and sharpen the scope of the next design task.
Explore ux testing
Your next study
What evidence would strengthen this recommendation?
Bring a real question. We’ll scope the audience, evidence and study together.
Start with what you have
Engagement brief
Customer evidence
Proposed direction
From research to a decision
A recommendation with explicit assumptions
Keep the question, the evidence and the next action connected.
Ask
Should the client simplify the current offer or introduce a new one?
Examine
Compare the audience’s understanding of each direction and the needs behind their reactions. Show where the evidence supports the recommendation and where judgement still matters.
Act
Present the direction, its trade-offs and the next customer validation step as one coherent recommendation.
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.
Yes, these workflows can support product discovery, proposition comparisons and design reviews. The right study depends on the client decision and the audience evidence available.
No partner terms are specified on this page. Discuss repeat engagements, client reporting needs and any proposed partnership directly with Sunzu.
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.