> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getvirtualbrain.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Data Room Gap Analysis
> Scan an entire data room against your information request list and surface coverage, gaps, and missing documentation in one run
**Goal:** map what a data room actually contains against your information request list, and get a prioritized view of every gap, without reviewing hundreds of documents by hand.
## Setup
Two inputs, both loaded into a [Brain](/features/brains/creating-brains) before you run the App:
* **The data room**: the document set you need to assess. In the walkthrough, it's a target's publicly available investor relations data room.
* **Your information request list**: the questions or research areas you want covered. The demo uses a 23-question information request list, but any checklist or questionnaire works.
Keep the Brain scoped to this one data room. Mixing in documents from other engagements dilutes the coverage assessment; the App should only see what the counterparty actually provided.
## How it works
Add the full document set to a Brain. The App handles the volume. This is the labor-intensive review it automates.
Add the questionnaire or research-area list you want the data room measured against.
When the run completes, the results open as a gap analysis dashboard organized in a pyramid structure: overall coverage first, then detail on demand.
## What you get
The output is built to drill from headline to evidence:
* **Overall coverage**: how complete the data room is relative to your full information request.
* **Breakdown by dimension**: coverage for each section of your request list.
* **Question-level detail**. For every question: the nature of the gap, the coverage percentage, and its severity.
* **Best available answer**: for each question, the strongest answer the existing documents support, so you know what you can already work with.
* **Recommended actions**: a table of missing documentation to request, prioritized to improve your completion rate.
The first pass on a data room becomes a defensible artifact. You walk into the next management call with a precise, evidence-backed request list.
## Pro tips
* **Run it on day one.** The earlier you know the gaps, the earlier the counterparty can fill them. Document requests are usually the long pole in a diligence timeline.
* **Check the severity calls yourself.** Every gap finding traces back to the underlying documents. Review the calls on your highest-priority questions before the request list goes to the other side.
* **Re-run after each data room update.** When new documents land, run the App again to track how coverage improves against the same request list.
## Related
Once the data room is complete enough, move to valuation
Set up a dedicated Brain per deal for clean, scoped analysis
Find, launch, and duplicate templates from the library
How every finding traces back to a source document