Design a centralized research repository for discoverable, actionable insights
Tests knowledge-management system design and metadata taxonomy. Strong answers separate raw artifacts, insights, and reports; build faceted search; and integrate with engineering workflows.
Tests whether you can architect a knowledge platform that turns qualitative data into engineering action. A strong design includes: an ingestion pipeline for reports, transcripts, and raw notes; a document store for atomic insights with a strict metadata schema (tags, methodology, product area, confidence); object storage for media; a search index for faceted and full-text queries; and downstream APIs pushing insights into Jira or Slack.
Read the original → nngroup.com
- #system design
- #knowledge management
- #ux research
- #metadata
- #internal tools
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