User Research Repository Structure
Design a comprehensive structure for a user research repository for [product/team]. Include: 1) Repository objectives and success metrics, 2) Information architecture with taxonomy, 3) Metadata schema for research artifacts, 4) Content types with templates (studies, personas, journeys, etc.), 5) Technical implementation recommendations, 6) Contribution workflow and standards, 7) Search and discovery experience, 8) Access permissions model, 9) Integration with product development workflow, and 10) Maintenance and archiving policy.
How to Use This Prompt
- Copy the prompt using the button above
- Replace placeholders in [brackets] with your specific details
- Paste into your AI assistant (ChatGPT, Claude, Gemini, etc.)
- Iterate as needed - ask follow-up questions to refine the output
Why This Prompt Works
This prompt addresses the common problem of research insights getting lost in scattered documents. By requesting information architecture, metadata schemas, and integration with product development workflows, it produces a repository design that makes past research discoverable and ensures new studies build on existing knowledge rather than duplicating effort.
When to Use This Prompt
- When your team has accumulated research across multiple tools and needs a centralized, searchable system
- When scaling a research practice and new team members need quick access to existing user insights
- When leadership asks how past research has influenced product decisions and you need better traceability
Tips for Better Results
- List the tools your team currently uses for research (Dovetail, Notion, Confluence) so recommendations integrate with your stack
- Specify team size and how many studies you run per quarter to get appropriately scaled governance recommendations
- Mention the types of research artifacts you produce most often (personas, journey maps, usability reports) for tailored templates