Coming from Condens
Import
GDPR-compliant research, structurally near-identical to Dovetail, with insights connected forward into the product graph.
The structural finding
Condens is purpose-built for European teams that need GDPR-compliant research storage. Its entity model maps near-perfectly to UPG's user_research domain: Project = research_study, Note = observation, Highlight = quote, Cluster = affinity_cluster, Insight = insight. The integration adds the one missing step, the `insight_informs_opportunity` edge, connecting your research to every other tool in the product stack while keeping raw transcript content in Condens.
What UPG adds
Insights become traceable forward: `insight_informs_opportunity` closes the gap between research and product decisions.
GDPR-compliant research connects to the product graph: European teams get the research→product chain without sacrificing data residency.
Research accretes into personas: each observation builds a richer picture of who the user is via `insight_characterises_persona`.
Schema mapping
The key edge
The single most important semantic relationship this integration enables.
Defined in the UPG specification
Sample import
A research project with an interview session, highlights, and a synthesised insight
How to import your Condens data
The Condens adapter is built and tested. A one-command import via the UPG CLI is in development:
This will fetch your Condens data, map entity types automatically, and write everything to your graph. Today you can use the Markdown import or the adapter directly in code.
▸ For developers: use the adapter directly
Get started
The Condens adapter ships in @unified-product-graph/adapters. Install it, then run the import command.
$ npm install -g unified-product-graph
# then import
$ upg import --from notion