The customer segment this release is designed for
Ground the study in customer evidence relevant to this decision.
put it to your audience.
Three promising ideas. One team to build them. Explore the need, compare the concepts and understand the trade-offs before you commit a sprint.
Bring audience reactions and unresolved risks into the roadmap conversation, while there is still time to change the brief.
Explore the context behind feature requests with depth interviews before turning them into requirements.
Explore depth interviewsCompare concepts with a consistent audience and research question. Examine appeal, confusion and objections.
Explore concept testingReview likely friction in the design and use the findings to focus changes and follow-up testing.
Explore ux testingBring a real question. We’ll scope the audience, evidence and study together.
Ground the study in customer evidence relevant to this decision.
Feature brief
Concept alternatives
Customer evidence
Keep the question, the evidence and the next action connected.
Should the next release prioritise guided setup or more configuration options?
Compare the needs of first-time and experienced users. Distinguish the features people find appealing from the problems they actually need to solve.
Choose a direction to develop, record the trade-off and define what to validate with customers.
Illustrative research brief. This is an example of how to use findings, not a completed customer study or a product screenshot.
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.
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.
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.