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.

Start at Design

01 · DesignStart from the decision,
not a blank page

Draft from your case context and a library of questions that have already been fielded.

01

Design Partner

Upload the CIM or deck and describe the decision. Razberri drafts the whole survey from it.

Screeners, sections, and typed questions in minutes
Every question tied to your deal thesis
No survey specialist needed
02

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.

QUESTION LIBRARY · 0BASKET · 0 PICKED
Vendor awarenessNPSBudget ownerUsage frequencySwitching triggersContract lengthPrice sensitivitySupport satisfactionFeature priority
YOUR INSTRUMENT
NPSSwitching triggersPrice sensitivity
Pulling from questions that have already been fielded

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.

03

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 works
AI PERSONAS · 3GENERATING…
UUser
NNon-user
CChurned User
Security lead · 1,200-person insurerDaily user · 2 yr tenure
IT director · regional bankEvaluated last year, chose a competitor
Head of infosec · logisticsCancelled 4 months ago
Drafting personas from your target audience
04

Quality 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.

INSTRUMENT CHECK · 0 / 148 RULESCHECKING…

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

Review all

03 · FieldField with your eyes
on the data

Real respondents, screened as they answer, with follow-ups when an answer needs more.

05

Dynamic Questions

When an answer is vague or contradicts an earlier one, the survey follows up in the moment.

The clarification is saved in the same response record
You set the caps and the disclosure
A follow-up never costs you a paid complete
06

Fraud Control

30+ checks score every response as it arrives, so only real people who fit your audience count toward the results.

Flagged responses are quarantined and replaced while still in field
Fraud and bots are caught before they skew results
The n you present is real, with no cleanup at the end
LIVE RESPONSE STREAM1,279 ACCEPTED
R-4471 · 8m 12sPASS 30/30
R-4472 · 6m 47sPASS 30/30
R-4473 · 41sFLAGGED · SPEEDING
R-4474 · 5m 03sFLAGGED · STRAIGHT-LINING
R-4475 · 9m 55sPASS 30/30
0 quarantined · replacements requested automatically

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.

07

Natural language queries

Ask for a cut the way you would ask a colleague and get it back charted.

Every number is verified and cited to the underlying responses
Connected to live results, so nothing goes stale before the readout
Answers in the meeting, with no analyst queue and no export
CUTNPS for customers spending over $250k, by tenure
+12<1 YR
+311–3 YR
+443–5 YR
+395 YR+
CUTOverall promoters, passives, and detractors
52% PROMOTERS31% PASSIVE17% DETRACTORS
Updating live · 1,284 of 1,500 responses in
08

Prebuilt Analyses

Key driver analysis, gap analysis, segmentation, and NPS deep dives run against your data as responses land, with no data team needed.

Insight while fieldwork is still open
Models are reusable, so you never rebuild one per case
Shaky findings are labeled directional rather than hidden
Key Driver Analysis
SupportReliabilityPriceBrand
Gap Analysis
Performance →Importance ↑
Segmentation
38%27%21%
NPS Deep Dive
+42NPSPromoters 54%Passives 22%Detr. 24%Top detractor driver: onboarding

Eight features, one workflow, no handoffs in between.

See the whole arc run on your own case context in a 30-minute walkthrough.

Explore use cases