SurveyMethods Strawberry

Your AI companion for SurveyMethods.

Strawberry can help teams work through questionnaire design, distribution audiences, response evidence, reporting views, and action planning in their SurveyMethods workspace. It makes the operational details visible in one review, so researchers and programme owners can check the study before it collects answers and check the evidence before it drives a decision.

An untested question, faulty audience filter, or overconfident report can send a team in the wrong direction.

The questionnaire should be understandable before it becomes data.

A survey can be technically live and still ask for unreliable answers.

Review each question for jargon, two ideas packed into one prompt, missing alternatives, and answer scales that do not let a respondent say what they mean.

A precise filter can still create a misleading sample.

Compare the selected audience to the decision the study is meant to inform.

The output should name who is included, who is absent, and whether the expected response group can support the conclusion being requested.

Results need caveats beside the headline finding.

Turn the visible report into a decision brief that preserves the underlying question, response count, and material limitations. That prevents a single chart from becoming a stronger claim than the study can support.

Monthly is a better rhythm for cross-study SurveyMethods learning.

Save the evidence-review prompt as a SurveyMethods skill and run it on the first working day, once the prior month’s studies have closed and before planning conversations harden around anecdote.

Experience Strawberry for free

Download

Trusted by fast-growing companies worldwide

Frequently asked questions

It can work from the signed-in SurveyMethods pages you select to prepare questionnaire, audience, and evidence reviews.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents