What does each finding include?

A one sentence finding, the evidence behind it with quotes attributed by participant type rather than name, how many participants or sources support it, its impact, and a confidence level of high, medium, or low. Findings are ordered by frequency times impact.

What kinds of research can it handle?

Interview notes and transcripts, survey responses, usability test notes, support tickets, sales call notes, and analytics summaries, pasted into the chat or uploaded as files. It can combine several sources and notes where they disagree.

How is this different from the AI Data Analyst?

The data analyst profiles a spreadsheet of numbers. This tool works on what people said and did, and turns it into themes, findings, and recommendations.

It does not run interviews or recruit participants, and it draws only on the research you give it. A finding backed by two interviews is labeled a hypothesis, not a conclusion, and gaps the research leaves open are listed rather than filled in.

AI User Research Synthesis

Paste interview notes, survey answers, or feedback. Get five to eight findings backed by quotes and rated for frequency, impact, and confidence, plus recommendations, in the chat.

Synthesize

into

Tap a field to fill it in

Nothing sends until you start, and you can change anything afterwards.

What you get

Text in the chatCopy it wherever you need it. Keep chatting to adjust the tone, length, or wording.

How it works

Paste notes, transcripts, or survey answers, or upload research files, and say what you want to learn and what decision it will inform. It asks about the research type and number of participants if it cannot tell.
askROI's Synthesize user research tool groups the observations into themes and writes the synthesis: research overview, findings ranked by frequency and impact, user segments, opportunity areas, recommendations, and open questions.
Share the synthesis with your team, or keep chatting to build personas, an opportunity map, or a follow-up research plan.

What people use it for

Interview roundsturn a stack of interview notes into findings your team can act on.
Open-ended survey answerscode free-text responses into themes and count how often each comes up.
Churn and feedback reviewsfind the problems behind cancellations and complaints, ranked by impact.
Roadmap inputtie specific recommendations back to the evidence behind them.

Questions

What does each finding include?: A one sentence finding, the evidence behind it with quotes attributed by participant type rather than name, how many participants or sources support it, its impact, and a confidence level of high, medium, or low. Findings are ordered by frequency times impact.
What kinds of research can it handle?: Interview notes and transcripts, survey responses, usability test notes, support tickets, sales call notes, and analytics summaries, pasted into the chat or uploaded as files. It can combine several sources and notes where they disagree.
How is this different from the AI Data Analyst?: The data analyst profiles a spreadsheet of numbers. This tool works on what people said and did, and turns it into themes, findings, and recommendations.
What does it not do?: It does not run interviews or recruit participants, and it draws only on the research you give it. A finding backed by two interviews is labeled a hypothesis, not a conclusion, and gaps the research leaves open are listed rather than filled in.