Startup North Star Metric

SkillMonitoring & ops

Choose a startup North Star metric and a small set of input metrics that reflect real customer value and early growth progress.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Startup North Star Metric skill

What this skill tells your AI

The instructions your AI receives, as published by contextgo/contextgo in src/process/resources/skills/startup-strategist-pack/skills/startup-north-star-metric/SKILL.md and read by ahel’s review.

Use this skill when the startup needs a metric system that reflects customer value, not vanity.

Use when

  • The team needs one metric to align around.
  • The startup is choosing what traction should mean.
  • Product and GTM work need a shared measurement frame.

Do not use when

  • The user only wants a long KPI list.
  • The request is purely OKR drafting without any product-value logic.
  • The startup still cannot describe its primary value moment.

Metric failures to avoid

  • picking revenue as the North Star by default
  • picking a metric teams cannot influence
  • tracking activity that does not reflect value delivered
  • defining too many top-level metrics
  • treating guardrails and input metrics as the same thing

Workflow

1. Classify the business model

Ask whether the startup behaves mainly like:

  • an attention business
  • a transaction business
  • a productivity business

2. Define the value event

Name the customer action or outcome that proves value was delivered.

3. Select the North Star metric

The North Star should be:

  • easy to understand
  • customer-value-first
  • actionable by the team
  • a leading indicator of durable traction

4. Define 3-5 input metrics

Choose metrics the team can move more directly, such as:

  • activation quality
  • repeat usage
  • conversion to first value
  • qualified pipeline or demo conversion
  • retention of the primary use case

5. Add guardrails

Include 1-2 checks that prevent bad optimization, such as:

  • retention floor
  • quality or satisfaction signal
  • cost discipline

Output format

Return:

1. Business model classification

2. Customer value event

3. Recommended North Star metric

  • definition
  • why it fits

4. Input metrics

  • metric
  • why it drives the North Star

5. Guardrails

6. What the team should watch next

Use together with

  • startup-go-to-market-strategy
  • startup-startup-canvas
  • startup-founder-brief

Signals

GitHub stars
54
Forks
5
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
startup-north-star-metric
Source
github.com/contextgo/contextgo