Researcher Explains How Structured Data Transformed 2000+ GitHub Issues Into Insights

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A developer experience researcher initially collected thousands of GitHub issues using a simple spreadsheet with basic fields like title, link, and a brief summary. After months of work, they found they could not answer fundamental research questions about failure patterns, user pain points, or recurring problems. The core issue was that raw information had been gathered without a structure that supported analysis or could be understood by engineers and UX designers. The researcher redesigned the process by breaking each issue into granular research categories — covering metadata, user personas inferred from context, workflow stages, and resolution details. This shift from information collection to structured qualitative and quantitative datasets made the data actionable and meaningful for cross-functional teams.

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