UX Research Synthesis
Turn interview transcripts and survey data into UX insights with AI analysis.
Overview
This workflow (#17) guides you through UX Research Synthesis. It is designed to be a complete, repeatable process that you can automate and refine over time.
Category: Design Difficulty: advanced
What You'll Need
- Figma, Dovetail, ChatGPT
Key Benefits
- Save hours of manual work with structured AI assistance
- Get consistent, high-quality results every time
- Build a repeatable process you can improve over time
Detailed Steps
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Collect user feedback Take your time with this step and use AI to assist at each stage. Document your progress and note any issues.
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Transcribe interviews Take your time with this step and use AI to assist at each stage. Document your progress and note any issues.
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Generate theme clusters Take your time with this step and use AI to assist at each stage. Document your progress and note any issues.
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Create insight summaries Take your time with this step and use AI to assist at each stage. Document your progress and note any issues.
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Build UX recommendations Take your time with this step and use AI to assist at each stage. Document your progress and note any issues.
Pro Tips
- Always review AI output before publishing or sharing
- Customize prompts to match your specific use case
- Track your results and refine the workflow over time
- Combine this workflow with other AI tools for even better results
Related Topics
- ux, research, design
Frequently Asked Questions
How long does this workflow take?
Most users complete it in 30-60 minutes after initial setup.
Do I need technical skills?
No. This workflow is designed to be accessible to everyone, with each step explained clearly.
Can I automate this further?
Yes. Once you refine the workflow, you can connect it to automation tools like Zapier or Make.
Workflow Steps
- 1 Collect user feedback
- 2 Transcribe interviews
- 3 Generate theme clusters
- 4 Create insight summaries
- 5 Build UX recommendations