AI survey support for every stage of the study.
Eight features that take a study from an open question to a decision you can defend: AI survey design, pretesting with AI personas, fraud-checked fielding, and analysis in plain English. No exports between stages.
01 · DesignStart from the decision,
not a blank page
Draft from your case context and a library of questions that have already been fielded.
Design Partner
Upload the CIM or deck and describe the decision. Razberri drafts the whole survey from it.
Harvest Basket
Pull from hundreds of questions that have already been fielded. Filter by research objective, industry, or audience, drop a block straight into your survey, and compare against benchmarks from earlier studies.
02 · BuildConstruct the logic,
then try to break it
Survey logic is built in real time and pretested with AI personas before anyone sees it.
Persona Tester
Pretest the survey against AI personas drawn from your target audience. These synthetic respondents walk every route and surface dead branches and broken paths before real respondents do, while a fix is still free.
Learn how persona pretesting worksQuality Tester
Every question and path is checked before launch: jumps that lead nowhere and screens no respondent can reach. Leading questions are flagged with the evidence, and one grade tells you whether the survey is ready to go.
Screener, scales, and quotas
All checks passed
Q6 · logic reads a later answer
Show-if rule on Q6 reads Q9, which hasn’t been asked yet
Q12 · hanging branch
Answer “Other” exits without reaching Q18
Launch blocked until issues are cleared
03 · FieldField with your eyes
on the data
Real respondents, screened as they answer, with follow-ups when an answer needs more.
Dynamic Questions
When an answer is vague or contradicts an earlier one, the survey follows up in the moment.
Fraud Control
30+ checks score every response as it arrives, so only real people who fit your audience count toward the results.
04 · AnalyzeSkip the exports and
the Excel gymnastics
Results stay connected to the study as it runs. Cut the data in natural language and watch the answer take shape while fieldwork is still open.
Natural language queries
Ask for a cut the way you would ask a colleague and get it back charted.
Prebuilt Analyses
Key driver analysis, gap analysis, segmentation, and NPS deep dives run against your data as responses land, with no data team needed.
Eight features, one workflow, no handoffs in between.
See the whole arc run on your own case context in a 30-minute walkthrough.