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6/30/2026
The One Mistake That Made My First 2000+ GitHub Issues Almost Useless

The One Mistake That Made My First 2000+ GitHub Issues Almost Useless

Short summary

GitHub issue collections become research-useless without structured organization. The author spent months collecting 2000+ issues but couldn't analyze them until redesigning the spreadsheet to answer specific research questions—mapping issues to workflows, user roles, and technical context. The core lesson: organize data to answer questions first, then decide what to collect.

  • •Raw issue data (links + summaries) won't surface patterns without structure and research questions
  • •Design research questions before collecting data; ensure every column justifies its existence
  • •Break issues into: metadata, user roles, workflow stages, technical context, impact—enables cross-role analysis

Generated with AI, which can make mistakes.

#ai-tools#research-breakthrough
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