North Star Metric

Definition
A North Star metric is the one number that best predicts whether a business is winning over the long run.

Why it matters

Without one, teams drift towards vanity numbers such as sign-ups, followers or contract value, which can rise while the product gets worse. It also stops teams pulling against each other. Sales wants big annual deals, product wants a smooth first week and support wants fewer tickets, and a shared number settles which of those serves customers. One improving number also tells outsiders, including investors, that the company knows what it is optimising.

How to apply it

  • List the customer actions that happen before people stay and spend more, usually depth or frequency of use.
  • Test each candidate against retention and expansion data, not against whether it sounds sensible.
  • Prefer an early indicator over a late one. It should move before revenue or cancellations do.
  • Choose a number that teams can influence through their daily work.
  • Put it on a dashboard everyone sees, and start reviews with it.
  • Revisit it once a year. A number that suits an early product may not suit a mature one.

What it is

A North Star metric is a company's guiding number. It measures the value customers receive, not the money the company takes in. A good one rises when customers succeed and predicts revenue and retention before they show up in the accounts.

A bookkeeping agency, for example, might choose monthly closes delivered by working day five. That number measures the thing clients pay for. If it improves, clients stay longer, refer others and accept price rises. Revenue is a result of that number, not the number itself.

Common mistakes

  • Choosing revenue. It records what happened but tells no team what to do.
  • Choosing a number that can be raised without helping customers, such as page views.
  • Keeping a dozen "main" metrics, which defeats the point.
Worked example

Suppose a bookkeeping agency serves 60 small clients and reports on revenue, new sign-ups and hours billed. All three rise while some clients quietly leave. The team picks a different number: monthly closes delivered by working day five. Clients pay for that, and it moves before cancellations do. Say the team tests the candidate against two years of renewal data and finds that clients who received a close by day five renewed at 92 per cent, against 71 per cent for those who did not. The number is recorded in Google Sheets and shown on the team dashboard, and the Monday review begins with it. When the close date slips to day seven one month, the team sees it in the first week, not at renewal. Revenue is still reported, but as a result of this number rather than as the target.

Tools in the example

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