Deep research
Detailed analysis around everything already in your workspace.
Deep research is not another empty search. It reads your recordings, notes, metrics, and prior decisions, then writes an analysis that only makes sense for this product.
What is happening
You name a question about this product. Kopilot walks the workspace graph, reads the related recordings, notes, and prior PRDs, and writes a detailed analysis that only makes sense here, with conflicts and unknowns called out.
The gap
Chat tools answer as if they never met the product. Long memos get written from whichever file was open.
What Kopilot does
Kopilot walks the workspace graph, follows citations, and produces a detailed analysis with the files it used.
What you leave with
A research note that is specific: this checkout, this persona, this kill-decision from Q2.
How this use case works
Scope the question
Name the surface or the decision. Kopilot pulls the related screens, funnels, and calls.
The graph is your workspace: recordings, notes, PRDs, decisions.
Read across the map
It does not stop at one PDF. It follows links between research, personas, and past PRDs.
The center document is the analysis, written from those nodes.
Write the analysis
You get a structured brief: what the evidence says, where it conflicts, and what is still unknown.
Claims on the page point back to the file they came from.
- Workspace-grounded answers
- Conflict and gap callouts
- Sources listed beside every claim
