User Research Synthesis
Synthesize user interview transcripts into structured findings, patterns, and recommendations.
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Watch Struq turn raw content into a structured user research synthesis — automatically.
Raw input
User interview #4 - Emily R., Senior PM at a Series B SaaS company, March 10. Research question: How do PMs currently track and prioritize feature requests? She's been a PM for 6 years, currently managing a B2B product with about 200 enterprise customers. Main workflow: feature requests come in through 4 channels - Intercom chats, sales team Slack messages, support tickets, and direct customer e...
Fields
Struq will extract these fields from your raw content using AI.
Required
Interview Date
Date of the interview
Participant Profile
Participant role, segment, or persona
Research Questions
Research questions addressed
Key Findings
Main findings and insights
Pain Points
User pain points identified
Notable Quotes
Direct quotes worth preserving
Sentiment
Overall user sentiment and satisfaction level
Optional
Feature Requests
Features or improvements requested
Recommendations
Recommended actions based on findings
How to Synthesize User Research Without Losing the Signal
The hardest part of user research isn't conducting the interviews — it's turning eight hours of transcripts into actionable findings. Most synthesis processes lose signal through summarization: the raw data is rich, but by the time it's in a slide deck, the nuance is gone. Good synthesis preserves the signal while adding structure.
Process Each Interview Before Moving On
The biggest synthesis mistake is waiting until all interviews are done, then trying to process them as a batch. You'll forget context, conflate participants, and miss patterns. Process each interview immediately — extract findings, pain points, and quotes while the conversation is fresh. Struq makes this trivial: paste the transcript, get structured output, move on.
Preserve Direct Quotes
Quotes are the most persuasive evidence in research readouts. "Users find the process frustrating" is your interpretation. "I spend 3-4 hours a week just copy-pasting from different sources" is their reality. Stakeholders connect with quotes. Always capture 3-5 direct quotes per interview, with enough context to understand them out of context.
Separate Findings From Recommendations
A finding is what you observed. A recommendation is what you think should happen because of it. Keep them separate. "PMs spend 3-4 hours/week on manual feature request aggregation" is a finding. "Build a batch import feature to eliminate manual copy-paste" is a recommendation. Mixing them undermines credibility — stakeholders want to see your evidence before your conclusions.
Pain Points Should Be Specific and Quantified
"The current process is painful" tells leadership nothing. "Manual feature request tracking takes 3-4 hours per week and breaks down at 200+ requests because patterns become invisible" tells leadership there's a $10K+ problem worth solving. Wherever possible, attach frequency, time cost, or business impact to pain points.
Sentiment Adds the Emotional Layer
Numbers and findings tell you what's happening. Sentiment tells you how people feel about it. A process rated 3/10 satisfaction with enthusiasm for the proposed alternative tells a different story than a process rated 6/10 with mild interest. Capture both the rating and the qualitative sentiment.
From Transcript to Structured Synthesis in Seconds
Paste your interview transcript from Zoom, Otter.ai, or your notes. Struq extracts participant profile, findings, pain points, quotes, feature requests, sentiment, and recommendations. Process eight interviews in the time it used to take to format one.
Frequently asked questions
How do you synthesize user research interviews?
Process each interview immediately after it happens. Extract: participant profile, key findings, pain points with quantified impact, direct quotes, feature requests, overall sentiment, and recommendations. Then look for patterns across interviews.
What should a user research synthesis include?
A research synthesis includes: interview date, participant profile, research questions addressed, key findings, pain points, feature requests, notable direct quotes, overall sentiment, and actionable recommendations.
Can Struq process multiple interview transcripts?
Yes. Paste each transcript separately with the User Research Synthesis template. Struq structures each one consistently, making it easy to compare findings, spot patterns, and identify common pain points across all interviews.
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