• BASELINE
  • ISOLATION
  • BIAS
  • HUMAN

How to calculate program value add with your AI

Stop taking credit for the success of companies that were already winning. This process separates your curriculum's impact from the baseline momentum of your cohort.

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Short answer

How do I isolate my accelerator's actual impact?

You use your AI to compare the growth of your cohort against a baseline of pre-existing metrics. This removes the selection bias where you claim credit for companies that were already on a high-growth trajectory. You'll get a clear view of what your curriculum actually moved.

The analysis results.

Where your insights land.

The AI processes your cohort data to produce these four specific outcomes.

BASELINE

Pre-program trajectory

The AI identifies the momentum each company had before they joined. This establishes the starting line for every participant.

ISOLATION

True value add

By subtracting the baseline growth from the actual growth, the AI isolates the specific delta caused by your curriculum.

BIAS

Selection bias report

You get a breakdown of how much of your perceived success is just due to picking high-performers. This helps you adjust your future selection criteria.

HUMAN

Strategic adjustments

The AI presents the raw delta, but you decide how to change your curriculum or selection process based on these findings.

The workflow

What your AI does when the data arrives.

The AI performs the heavy lifting of statistical comparison so you don't have to build models in a spreadsheet.

  1. Establish baselines

    The AI looks at your historical cohort data to determine the growth rates companies achieved prior to your intervention.

    estimate_true_value_add

  2. Calculate growth deltas

    It compares the post-program performance against the established baseline for every company in the set.

    estimate_true_value_add

  3. Identify selection bias

    The AI flags companies that would have likely hit their targets regardless of your program's involvement.

    estimate_true_value_add

  4. Summarize impact

    The AI aggregates these individual deltas into a single program-wide value add metric.

    estimate_true_value_add

Try it

Copy these to start.

Paste these into your chat to begin the analysis.

Starting points

These are opening lines. Swap the bracketed text with your actual data sources like a CSV or a Google Sheet.

Accelerator Selection Bias Correction Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_J6hTHey2s2hm5A5AD3VAxmOAU5gxJa4FiXMPKEJD/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 Selection Bias Correction capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-selection-bias-correction-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_J6hTHey2s2hm5A5AD3VAxmOAU5gxJa4FiXMPKEJD/mcp"
    }
  }
}
Copy into chat04

  • Analyze the growth data in this Google Sheet and calculate the true value add for the Summer 2023 cohort.

  • Using the CSV of our cohort's pre-program metrics, identify which companies had the highest selection bias.

  • Compare the post-program revenue of these companies against their baseline trajectory to find our actual impact.

  • Based on the data in this spreadsheet, what is the delta between our expected impact and the actual value add?

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Start here

Connect Accelerator Selection Bias Correction once, then ask.

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FAQ

How this task behaves.

  • 01

    Can the AI automatically update my CRM with these results?

    No. The AI calculates the value add and provides the analysis, but you must manually move those insights into your CRM.

  • 02

    Does the AI change my original data files?

    No. The AI only reads your data to perform calculations. It never modifies or deletes your original spreadsheets or databases.

  • 03

    What kind of data do I need to provide?

    You need to provide both pre-program metrics to establish the baseline and post-program metrics to measure the delta for the same companies.

  • 04

    Can the AI decide which companies to accept into my next cohort?

    No. The AI provides the bias report to inform your decision, but the final selection remains entirely with you.

  • 05

    How does it handle companies that exited the program?

    The AI calculates the value add based on the data available up to the point of their exit, comparing their trajectory to the baseline.

  • More questions about Accelerator Selection Bias Correction? The Connector page answers them. See everything the Accelerator Selection Bias Correction Connector can do

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