CognetivyCognetivy is an open-source state layer for AI coding assistants that adds workflows, run tracking, and persistent collections - all local.
User Research & Synthesis
Synthesize interviews, surveys, and feedback into actionable themes.
Raw qualitative data - transcripts, survey responses, support tickets - is only valuable when synthesized well. Define a structured workflow that your agent runs against new batches of user data, consistently extracting themes, quotes, and frequency signals into a growing collection.
What you'll achieve
Consistent coding
The same categorization schema is applied every session - making trends comparable over time.
Cumulative insight
Run the workflow on each new batch and insights compound without losing older signals.
Evidence-backed output
Every theme links to the specific source quotes that validated it.
How it works
A repeatable workflow you define once and run any time.
Ingest raw feedback
Your agent reads transcript files, survey exports, or paste-in text and structures each feedback item.
Tag and categorize
Apply a consistent taxonomy - pain points, feature requests, sentiment - as structured records.
Identify themes
A synthesis step clusters records by theme frequency and severity across all accumulated sessions.
Generate insights report
Output a prioritized themes report with representative quotes and confidence scores.
Cognetivy features you'll use
Everything you need is already in Cognetivy.
Versioned, reusable step-by-step processes for your agent
Schema-backed data stores that persist and accumulate across runs
Structured outputs saved from any run - downloadable and linkable
Full event log of every agent session, with timing and status
Related use cases
Ready to try?
Set up your first structured workflow in under a minute.