Research tools should
earn trust.
We built QuestionPunk for researchers who have to show how a result was reached: the questions, the model, the interviewer's prompt and the raw answers.
Built by a researcher, for researchers.
Jake has spent a career in journalism, data analysis and data engineering. In every role the same problem came back: teams needed better tools to get honest answers from people, and those tools didn't quite exist.
QuestionPunk is that tool: survey design, AI interviews and analysis in one place. You can read the prompt the interviewer runs on and pick the model, so both can go in your methods.
If results matter, methodology matters. I wanted a tool that helps teams move faster without hiding how the answers were reached.
Three problems we set out to solve.
Fragmented workflows
Research used to mean stitching together separate tools for design, recruitment and analysis. That split loses signal.
one tool for design, recruitment, interviews and analysis, so nothing gets lost between them.
Static questionnaires
Classic surveys miss the follow-up questions that only reveal themselves once a respondent starts talking.
an AI interviewer that asks about an unclear answer while the respondent is still there to explain it.
Manual synthesis
Teams spend days cleaning, coding and summarizing transcripts before they can make a call. That’s time the decision doesn’t have.
themes and sentiment for every question, and a written report with an executive summary, next to the raw responses.
Four principles that guide every decision.
Researchers first
Our roadmap comes from the studies researchers are trying to run.
Setup you can see
Prompts, model choices and branching logic are visible, so a study can be documented and reviewed.
No-code control
Adjust prompts, models, and study setup without filing a ticket with engineering.
Practical affordability
Academic and lean teams should be able to evaluate modern methods without enterprise-tier pricing.
What we’ve built so far.
Advised by a researcher who uses QuestionPunk.
Travis Tae Oh, Ph.D.
Marketing Professor, Yeshiva University
Travis is a marketing professor at Yeshiva University with published research on generative AI for marketing insight. He has been embedded in our development process, and his feedback has directly shaped how QuestionPunk works.
Travis runs his own research on QuestionPunk.
Read his research on GenAI for marketing insightQuestions, feedback, or just want to talk research?
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