• ALPHA SPLIT
  • PORTFOLIO HEALTH
  • STRATEGY
  • HUMAN

How to compare selection and coaching effects with your AI

Connect your fund data once. Your AI then separates your performance into deal selection alpha and coaching-driven value.

Ask AI about this page

Short answer

How can I tell if my fund wins on deal picking or company support?

Your AI uses the calculate_selection_vs_coaching tool to split your returns into two distinct drivers. You get a clear breakdown of how much alpha comes from your initial investment choices versus your post-investment interventions.

The results you get

Where your insights land.

Running this analysis provides these four specific outcomes.

ALPHA SPLIT

Selection vs Coaching ratio

The AI calculates the percentage of performance attributed to each driver. You see exactly where your edge lies.

PORTFOLIO HEALTH

Driver correlation report

The tool maps how coaching intensity correlates with company growth. This shows if your support actually moves the needle.

STRATEGY

Investment thesis validation

Compare your actual results against your original thesis. This identifies if you are better at picking or building.

HUMAN

Strategic pivot decisions

The AI provides the data, but you decide how to adjust your fund's deployment or support model based on the findings.

The workflow

What your AI does when the data arrives.

The AI handles the heavy math and data parsing so you can focus on the strategy.

  1. Data ingestion

    Your agent pulls historical deal entry prices and subsequent company performance metrics from your connected sheets or databases.

    calculate_selection_vs_coaching

  2. Attribution modeling

    The AI runs the attribution math to separate the baseline deal performance from the value added through operational support.

    calculate_selection_vs_coaching

  3. Correlation analysis

    The agent looks for patterns between the amount of coaching hours logged and the resulting exit multiples.

    calculate_selection_vs_coaching

  4. Insight generation

    The AI summarizes the findings into a readable format that highlights your fund's specific competitive advantage.

    calculate_selection_vs_coaching

Try it

Copy these to start.

Use these prompts to kick off the analysis.

Starting points

These are opening lines. Swap out the specific file names or sheet tabs for your own data.

Accelerator Performance Attribution Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_9BENOeRex09IbkhdimMO01QOkkhKOIWb7jz51oYw/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Accelerator Performance Attribution capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-performance-attribution-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9BENOeRex09IbkhdimMO01QOkkhKOIWb7jz51oYw/mcp"
    }
  }
}
Copy into chat04

  • Calculate the selection vs coaching split for my 'Series A Fund 2022' spreadsheet.

  • Based on the performance data in 'Portfolio_Master_List', how much of our alpha is driven by coaching?

  • Compare the exit multiples of companies with high coaching engagement against those with low engagement in my 'Fund_Performance' sheet.

  • Analyze the 'Deal_Flow_2023' data and tell me if our deal selection is outperforming our operational support.

  • Claude
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  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
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Start here

Connect Accelerator Performance Attribution once, then ask.

Connect your data source to the MCP. Once connected, you can use any of the prompts above in your preferred AI client.

Connect Accelerator Performance Attribution to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my original deal data?

    No. The AI only reads your data to perform calculations. It cannot modify your spreadsheets or databases.

  • 02

    Does it work with Google Sheets?

    Yes, as long as you have connected your sheets to the MCP.

  • 03

    Can the AI decide which companies to invest in next?

    No. The AI provides the performance attribution data, but all investment decisions remain with you.

  • 04

    What happens if my data is messy?

    The AI will attempt to parse the data, but it relies on the structure you provide in your sheets or databases.

  • 05

    Can the AI send emails to my portfolio companies?

    No. This specific MCP is designed for performance attribution and does not have tools for outbound communication.

  • More questions about Accelerator Performance Attribution? The Connector page answers them. See everything the Accelerator Performance Attribution Connector can do

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