> ## Documentation Index
> Fetch the complete documentation index at: https://docs.metal.so/llms.txt
> Use this file to discover all available pages before exploring further.

# Post-Meeting Analysis

> A structured analysis of every investor call — what worked, what didn't, and what to do differently next time.

Most founders come out of investor calls with a rough sense of how it went — good energy, tough questions, and some early interest. That assessment is almost always directionally right, but tactically unhelpful.

Meeting Intelligence replaces that gut read with a structured analysis. After every investor call, the platform produces a breakdown of what happened across three dimensions — with specific evidence from the transcript: what key areas came up, how the messaging landed, and what to change.

Navigate to **Process → Meeting Intelligence → Completed** to access the view.

***

## The Three Dimensions

The post-meeting analysis assigns a specific score across three broad dimensions:

<CardGroup cols={3}>
  <Card title="Clarity" icon="bullseye">
    How clear was the overall communication and the Company's vision and progress?
  </Card>

  <Card title="Structure" icon="list-ol">
    How well structured was the call, the strategy or key points in the narrative?
  </Card>

  <Card title="Conviction" icon="fire">
    How did the investor rank in terms of conviction (against large data sets)?
  </Card>
</CardGroup>

***

## Reading the Analysis

The scores are entry points. The real coaching lies inside the call cards. The analysis is structured into clearly labeled sections with a dynamic table of contents. Clicking any section title scrolls directly to it. Sections typically include:

1. **Investor Fit and Concerns** — How well did this investor map to our round, and what surfaced as friction or hesitation
2. **Founder Performance** — Where the narrative broke down or could be improved
3. **Story and Narrative** — How the pitch landed, where it was precise, and where it was too vague
4. **Product and Market** — How the investor engaged with your category and traction claims
5. **Next Steps** — Concrete follow-up actions and adjustments to make before subsequent calls

Each of the above sections contains highlights of what worked, risks or objections raised, and specific actionable suggestions — such as bringing data earlier, sharpening a particular answer, or restructuring the opening.

<Tip>
  For most founders, including ones that have raised large rounds before, the analysis typically reveals insights or observations from the call that they wouldn't have learned themselves.
</Tip>

***

## Discuss with Richard

Each call analysis includes a **Discuss with Richard** option in the Analysis tab. Clicking on this initiates a conversation with AI Richard, equipped with the full transcript and analysis, making it a working session rather than a report to read and set aside.

Founders commonly work with Richard AI to:

1. **Draft a follow-up** — not a generic check-in, but a message informed by what the investor specifically flagged during the call
2. **Role play a talking point** **that scored low** — ask Richard to push back the way the investor did so you can sharpen the answer before the next call
3. **Interpret conviction signals** — if the investor asked sharp diligence questions, Richard can help you read whether that signals serious interest or routine screening
4. **Define next steps** — get structured recommendations on what to do and how to adjust your approach for the next conversation with this investor

<Tip>
  Ask specific questions. *"Should I follow up?"* is less useful than *"Draft a follow-up email that addresses their concern about go-to-market timing."* Richard has full context on the call, the investor's profile, and where the relationship sits in your pipeline.
</Tip>

***
