Turn research notes into a structured knowledge base
Convert messy research notes, articles, interview snippets, and links into a reusable knowledge base with tags and next actions.
Setup time
50 minutes
Time saved
2-5 hours
Best for
Researchers, Founders, Consultants
Tools
Tana, Kimi, Perplexity, Notion
Overview
This workflow turns research capture into a usable knowledge system so ideas can be reused in strategy, content, product, and sales work.
When to use this workflow
Tools you need
Tana
Knowledge management
AI-powered knowledge graph workspace for structured notes, meeting knowledge, and personal operating systems.
Visit websiteKimi
AI assistant
Chinese AI assistant strong at long-context reading, document analysis, and research summaries.
Visit websitePerplexity
AI search
Answer engine for web research, source discovery, and market scans.
Visit websiteNotion
Workspace
Workspace for docs, databases, calendars, SOPs, and team knowledge bases.
Visit websiteStep-by-step workflow
Collect research inputs
Gather notes, links, interview snippets, PDFs, and competitor observations into one inbox.
Tool used
Tana
Expected output
A research inbox.
Summarize and tag
Use AI to summarize each item and assign tags such as audience, problem, competitor, proof, objection, or idea.
Tool used
Kimi
Expected output
Tagged research summaries.
Create reusable knowledge pages
Group related notes into pages for markets, personas, competitors, objections, and content ideas.
Tool used
Notion
Expected output
A structured knowledge base.
Generate next actions
Ask AI to turn research clusters into decisions, content briefs, outreach angles, or product questions.
Tool used
ChatGPT
Expected output
A practical action list.
Prompt templates
Research note structurer
Turn these research notes into structured knowledge. For each note, include summary, source, key insight, relevant tags, confidence level, and possible business use. Notes: [paste]Research to action
Review these research clusters and suggest concrete next actions for product, marketing, sales, and content. Prioritize actions by impact and evidence. Research: [paste]Automation ideas
- Send saved links into a research inbox
- Create weekly research digests
- Auto-tag notes by market, persona, and use case
Common mistakes
- Saving links without extracting insights
- Using too many vague tags
- Not connecting research to decisions
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