The priority buyer segment for this launch
Ground the study in customer evidence relevant to this decision.
Sunzu for go-to-market leads
Before you take it to market,
put the story to the test.
The launch date is set. Bring audience evidence to the decisions still in play: who to lead with, what to promise and which objections to answer.
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
Align the launch around what buyers need to hear.
Bring product, marketing and sales a shared view of audience reactions, supported by evidence they can review.
- Depth interviews
Challenge your audience assumptions
Explore the needs and buying concerns behind your priority segment before finalising the launch brief.
Explore depth interviews - Concept testing
Pressure-test the offer
Compare value propositions and identify where the audience needs clearer benefits or stronger proof.
Explore concept testing - Ad testing
Check that the campaign tells the same story
Review reactions to launch creative and see whether the intended value is coming through.
Explore ad testing
Your next study
Which launch story makes the offer relevant and credible?
Bring a real question. We’ll scope the audience, evidence and study together.
Start with what you have
Launch proposition
Buyer evidence
Message alternatives
From research to a decision
A clearer launch narrative
Keep the question, the evidence and the next action connected.
Ask
Will buyers see our new capability as a reason to switch, or just another feature?
Examine
Explore relevance, perceived effort and the proof the audience needs. Separate interest in a benefit from confidence in making a change.
Act
Refine the launch promise, brief sales on the objections and validate buying behaviour in market.
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.
It can help explore needs, propositions and objections. Product-market fit depends on real adoption, retention and commercial behaviour, which audience simulations alone cannot establish.
Bring the offer, the audience you intend to reach and the decision you need to make. Together we can identify the customer evidence and study type that fit that question.
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.