By Simon Sovič, Senior Product Manager

A north star metric (NSM) is the single number that best captures the core value your product delivers to users. When that number grows, your business grows. When it stalls, you know something is wrong before revenue tells you. This guide walks you through real examples, explains what makes a good NSM, and gives you a repeatable process to define one for your own product. Allow roughly 60 to 90 minutes to work through the full exercise with your team.

What You Will Need

  • A clear definition of your product's core value proposition
  • Access to your current product analytics or user data
  • A list of your primary user personas
  • 30 to 60 minutes of focused time with at least one teammate from product, growth, or engineering
  • A simple spreadsheet or whiteboard to score candidate metrics

Step 1: Understand What a North Star Metric Actually Measures

Before you choose a number, get the definition right. A north star metric measures the moment a user experiences core value from your product. It is not a revenue metric, a vanity metric, or a lagging indicator. It sits between user behavior and business outcomes.

A useful test: if a user did this thing repeatedly, would they almost certainly stick around and pay? If yes, you are close to the right metric.

  • Not a north star metric:Monthly active users (too broad), revenue (a result, not a cause), page views (no value signal)
  • Good north star candidates:Actions tied directly to the moment value is delivered

The north star metric concept was popularized by Sean Ellis and the growth hacking community, but the underlying logic is simple: find the behavior that predicts retention and expansion, then optimize everything toward it.

Step 2: Study Real North Star Metric Examples

Looking at established products is the fastest way to build intuition. Here are well-known examples, each tied to a specific value moment.

  • Spotify:Time spent listening per user. Value is delivered when music plays, not when an account is created.
  • Airbnb:Nights booked. A booking means both a host and a guest got value. One number captures both sides of the marketplace.
  • Slack:Messages sent per organization per month. Teams that communicate in Slack daily have no reason to leave.
  • Facebook (early growth phase):7 friends in 10 days. This was a leading indicator of long-term retention, not a direct value metric, but it worked because social graph density predicted activation.
  • HubSpot:Number of companies reaching a weekly active threshold. Stickiness in the CRM predicts renewal.
  • Duolingo:Daily active learners. Language learning is habit-driven, so daily engagement maps directly to the value promise.
  • Notion:Number of collaborative spaces with activity in the last 30 days. Collaboration is the upgrade trigger.
  • Stripe:Payment volume processed. The product delivers value only when transactions go through.

Notice a pattern. Each metric captures an action, not a state. Users are doing something, not just existing in the database.

Step 3: Map Your Product's Core Value Moment

Write one sentence that completes this prompt: "A user gets real value from our product when they _____."

Keep the answer concrete and observable. Avoid abstract statements like "achieve their goals." Push for specifics: "send their first invoice," "complete a workout," "publish a page," "receive their first qualified lead."

  • Run this exercise with your team independently first, then compare answers. Disagreement here reveals misalignment on strategy.
  • If you serve multiple user types, write one sentence per persona. You may need to reconcile them into one metric, or choose the primary persona whose success drives your business model.
  • Check your churn data. Users who churned often never reached this value moment. Users who retained did. This is the empirical signal you are looking for.

If you need to revisit your product strategy before this exercise makes sense, the SaaS Product Strategy Guide for Founders (2026) Covers how to define your value proposition before choosing metrics.

Step 4: Generate a Shortlist of Candidate Metrics

Based on your value moment definition, write down three to six candidate metrics. These should all be measurable with your current data or with minimal instrumentation work.

For each candidate, answer these five questions and score each one from 1 to 3:

  1. Does it reflect user value, not just business value?(1 = only business, 3 = clearly user value)
  2. Is it a leading indicator?(1 = lags revenue by months, 3 = predicts retention weeks ahead)
  3. Can every team influence it?(1 = only one team can move it, 3 = all functions can contribute)
  4. Is it simple enough to explain in one sentence?(1 = requires a paragraph, 3 = anyone on the team understands it immediately)
  5. Does it avoid inflating without real value?(1 = easy to game, 3 = hard to inflate without genuine user activity)

Add up the scores. The highest-scoring candidate is your starting north star metric.

Step 5: Pressure-Test Your Choice Against Common Failure Modes

Before committing, run your top candidate through these failure mode checks.

  • The vanity trap:Can the metric grow while the product is actually failing users? Total sign-ups can climb while retention collapses. If yes, the metric is not north star material.
  • The gaming trap:Could a team hit the number by degrading user experience? If a metric can be inflated by dark patterns or manufactured activity, it will be eventually. Reject it.
  • The breadth trap:Does the metric capture only a small slice of your user base? A metric tied to power users can mislead you about the health of the broader product.
  • The lag trap:If the metric only moves after revenue has already moved, it cannot guide decisions in time to matter.

In practice, most teams find their first candidate fails one of these checks. That is normal. Revise the metric definition rather than abandoning the exercise.

Step 6: Define Your Input Metrics (the Metric Tree)

A north star metric on its own is a compass, not a map. To act on it, you need two to four input metrics that directly drive the NSM. These are the levers your teams pull every sprint.

For example, if your NSM is "monthly messages sent per organization" (Slack-style), your input metrics might be:

  • New organizations reaching 10 active members in their first 30 days (activation)
  • Percentage of users who log in at least 3 times per week (engagement frequency)
  • Number of integrations connected per organization (stickiness)

Input metrics give each team something to own. Design owns activation flows. Engineering owns integration reliability. Growth owns frequency loops. Understanding how to assign these to team members is covered in more depth in the guide on How to build and manage a cross-functional product team.

Step 7: Instrument, Baseline, and Communicate

Once you have chosen your NSM and input metrics, make them visible and measurable.

  1. Instrument the metric.Confirm the event tracking exists in your analytics tool. If it does not, add it before announcing the NSM company-wide.
  2. Establish a baseline.Record the current value. Set a realistic 90-day target based on historical growth rates, not aspirational guesses.
  3. Create a shared dashboard.Every team should see the NSM and their input metrics in one place, updated in near real time.
  4. Communicate the "why."When you roll out the NSM, explain the logic: this number moves when users get value, and when users get value, the business grows. Teams that understand the reasoning move faster than teams that are just told to hit a number.
  5. Review weekly.The NSM should appear in every sprint review and in weekly leadership updates. Visibility creates accountability.

Common Mistakes When Choosing a North Star Metric

  • Choosing revenue as the NSM.Revenue is an outcome. It does not tell you which user behaviors to encourage. Use it as a sanity check, not a north star.
  • Picking a metric nobody can define consistently.If two analysts calculate "active users" differently, you will spend meetings arguing about the number instead of acting on it.
  • Setting and forgetting.As your product evolves, the right NSM can change. Many early-stage products use an activation metric. Growth-stage products often shift to retention or expansion metrics. Review your NSM at least once per year.
  • Skipping the input metrics.An NSM without input metrics is a strategy without tactics. Teams will not know what to build.
  • Choosing a metric that only one team controls.If only the growth team can move the number, you will see friction, disengagement, and blame-shifting from other functions.

These same failure modes apply when you are building a feature roadmap around the metric. The guide on How to prioritize features on a product roadmap Shows how to connect your NSM to feature decisions directly.

FAQ

How is a north star metric different from a KPI?

KPIs (key performance indicators) are a broad category. You can have dozens of KPIs across different functions: sales, support, engineering. A north star metric is singular. It is the one number that represents the full health of your product's value delivery. KPIs can track anything. Your NSM tracks the thing that matters most to users and, by extension, the business.

Can a startup have more than one north star metric?

One is better than two. Multiple north stars create prioritization confusion. Teams argue about which metric to optimize when they conflict. If you truly serve two different user groups with different value moments, define one NSM per product line, not two NSMs for the same product.

How often should you change your north star metric?

Change it when your product's core value proposition changes, not when the number is hard to move. Switching metrics to chase easier wins is a sign of strategy drift. Most products at different growth stages (pre-product-market fit, growth, maturity) use genuinely different NSMs, and that is appropriate. Annual reviews are a sensible default.

What if I cannot measure my north star metric with current tools?

Either instrument it or pick a proxy metric you can measure now. A measurable proxy is better than an aspirational NSM you cannot track. Set a deadline to instrument the real metric and treat the proxy as temporary. Never let tooling gaps prevent you from running the business with data.

How does the north star metric connect to a competitive analysis?

Your NSM tells you what to optimize internally. A competitive analysis tells you whether your value moment is differentiated enough to win against alternatives. If competitors are delivering the same value moment more efficiently, your NSM target needs to reflect that gap. Running a competitor analysis before finalizing your NSM helps you avoid picking a metric that optimizes for parity rather than differentiation. See the full guide on How to run a competitive analysis for a new product For a step-by-step process.

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