Give Knit your research objectives, use case, and audience criteria and get an editable draft of your questionnaire in minutes. AI-Native Questionnaires are grounded in your business context and past research. After finalizing with your researcher, your survey can be programmed and live within a day.

Let Knit instantly draft a questionnaire that leverages your past research and new objectives – all available in a doc-like editor to edit directly, comment feedback, or circulate with your team. Then, within that same day, your dedicated Knit researcher will work with you to finalize your survey. Once approved, your survey can be programmed and ready to launch the next day.

### Leverage Past Examples

Doc-Like Editor

Tag & Comment

Programming Handled

Thought Partnership

### Leverage Past Examples

Share your past surveys, reporting preferences, and brand guidelines once. Knit builds on them every time — so new questionnaires reflect how you uniquely run research, not a generic template.

### Doc-Like Editor

Review and edit your questionnaire in a familiar doc-like interface — add questions inline, leave comments, and loop in stakeholders via a shareable link or Word export. No platform learning curve.

### Tag & Comment

Need a change? Tag Knit’s AI for a quick rewrite, flag your dedicated researcher for a more strategic edit, or pull in your team for a review — all in the same document.

### Programming Handled

Once your questionnaire is finalized, Knit handles all programming — no manual setup, no back-and-forth with a vendor. Your survey is ready to launch with a live test link by the next day.

### Thought Partnership

Your dedicated Knit researcher isn’t just reviewing your questionnaire — they’re an active thought partner on your study design. They’ll flag methodology risks, suggest improvements, and make sure your questions will actually generate the insights you need.

Once your questionnaire is submitted, Knit generates a custom Analysis Plan — outlining the key cohorts, cuts, and analysis directives that will guide your report. Your researcher shapes it to match your project-specific context, so AI analysis starts with a clear direction, not a blank slate.

Learn how NASCAR gathered, cut, and analyzed fan and non-fan input at scale to guide its in-season tournament launch strategy with the help of Knit.

See how a survey goes from brief to launch-ready within a day.