• PRIMARY
  • SECONDARY
  • STABLE
  • HUMAN

How to identify growth gap levers with your AI

Connect your business data to your agent to find the specific drivers stalling your progress toward a target.

Ask AI about this page

Short answer

How do I find the specific drivers causing my growth gap?

Your AI calculates how much each individual driver contributes to the total gap between your current state and your goal. This reveals which specific pillars need attention to hit your target. You get a prioritized list of levers to pull.

The analysis results

Where your focus lands.

The AI categorizes every driver based on its mathematical impact on your target.

PRIMARY

Critical growth levers

The AI identifies the drivers with the highest contribution to the gap. These are the areas where changes will move the needle most.

SECONDARY

Supporting drivers

These metrics influence your primary levers. The AI shows how they feed into the main goal.

STABLE

Low impact areas

The AI flags drivers that are already hitting targets or have little effect on the gap. You can ignore these for now.

HUMAN

Strategic decisions

The AI provides the math, but you decide which levers are actually possible to change given your current resources.

The workflow

What your AI does when the request arrives.

The AI follows a logical path to turn your targets into a prioritized list of actions.

  1. Set the target

    The AI establishes the baseline and the specific end goal you want to reach.

    set_north_star_goal

  2. Map the hierarchy

    The AI builds a tree of the specific metrics that drive your main goal.

    configure_driver_tree

  3. Calculate impact

    The AI determines how much each driver contributes to the total gap.

    calculate_contribution_distribution

  4. Isolate levers

    The AI uses the distribution data to highlight the most important levers for you.

    calculate_contribution_distribution

Try it

Copy these to start.

Use these prompts to kick off the analysis with your agent.

Starting points

Swap the bracketed text for your actual business metrics and targets.

North Star Metric Modeler Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/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 — North Star Metric Modeler capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "north-star-metric-modeler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/mcp"
    }
  }
}
Copy into chat04

  • Set my north star goal to $10M ARR based on my current $7M ARR in this Google Sheet.

  • Build a driver tree for my churn rate using the metrics in this CSV.

  • Calculate the contribution distribution for my growth gap based on the driver tree we just built.

  • Which driver in my tree is most responsible for the gap between my current revenue and my $5M target?

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Start here

Connect North Star Metric Modeler once, then ask.

Link the MCP to your client once. Your credentials stay encrypted, and you can start running models immediately.

Connect North Star Metric Modeler to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my actual business data?

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

  • 02

    Does the AI decide which lever I should pull?

    No. The AI identifies which levers have the most mathematical impact, but the final strategic decision stays with you.

  • 03

    Can I use this with my existing spreadsheets?

    Yes, as long as you provide the data to your agent, it can use the tools to process that information.

  • 04

    Will the AI create a new driver tree automatically?

    The AI can suggest a tree, but it uses the configure_driver_tree tool to structure the specific hierarchy you define.

  • 05

    Can the AI predict future growth?

    No. The tools are designed to analyze the current gap and the contribution of existing drivers, not to run predictive forecasting models.

  • More questions about North Star Metric Modeler? The Connector page answers them. See everything the North Star Metric Modeler Connector can do

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