Thoughtful analysis done faster

Make more sense of user research in less time. Stitchwork brings the useful parts of AI into your workflow, leaves out the gimmicks, and keeps you in control.

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Faster qualitative analysis

Find the story hiding in your data sooner with the help of specialist AI

Unlock deeper insights, in less time. Meet tough deadlines without feeling like you've sacrificed the quality of your analysis.

✔ Unearth patterns across notes and transcripts

✔ Refine and iterate on emerging themes in real time

✔ Share visual summaries with stakeholders

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Rigorous insights

Run robust analysis based on tried and tested techniques

Rest assured that your findings and insights are based on a thorough interpretation of the data. Use trusted qualitative analysis methods, made practical for modern research.

✔ Methodically build themes from granular observations

✔ Trace high-level insights back to individual data points

✔ Maintain consistent quality standards across teams of researchers

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Responsible AI

Meticulous, not magic

Stitchwork has been purpose-built to apply the useful parts of modern AI to user research analysis. No more wrangling a chatbot or one-click shallow sorting. We use AI carefully to enhance the rigour, speed and creativity of the analysis process.

✔ We don't train AI models on your data

✔ You stay in charge of the thinking

✔ AI does the heavy lifting; you provide the human judgment

Built for humans

Privacy and accessibility are built-in, because research starts with respect

Stitchwork protects participants' data and makes analysis accessible, because respectful research puts people first.

✔ GDPR compliant with EU-based processing of participant data

✔ WCAG 2.1AA compliant user interface

✔ Easy data export and deletion for full control

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Stress-free

It's easy to get started

Just add your research notes and transcripts. Stitchwork fits right into your current workflow.

You're guided through tried and tested qualitative analysis techniques to find patterns and themes in your data.

Review and iterate the analysis at each step, just like when collaborating with other researchers.

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