A good north star tracks delivered value, moves within a timeframe your team can influence, and gets worse when you cheat it. Weekly active accounts that completed the core action beats raw signups, because it drops when activation breaks. Bad ones are vanity counts, revenue on its own (too lagging, too far from the team's daily work), or anything a single dark pattern can inflate.
Why interviewers ask this
This is a quick read on metric literacy and on whether you have watched a team game a number. Interviewers listen for the cheatability test, for the difference between input and output metrics, and for awareness that a metric nobody can recite has no effect on behavior. If you can name a metric you inherited, found broken, and replaced, that lands far better than reciting the textbook definition.
How to structure your answer
- Give the test: does it get worse when you do something bad.
- Contrast a vanity count with a value based metric.
- Explain why revenue alone is a poor steering metric.
- Note that the team has to be able to move it in a quarter.
Example answer
The test I use is whether the metric gets worse when we do something bad. Signups fail that test, because I can double signups with a misleading ad and the number looks great while the business gets worse. Weekly active accounts that have completed the core action passes it, because it goes down if onboarding breaks, if the product gets slow, or if the value is not there. The other thing I care about is whether the team can actually move it inside a quarter. Revenue is the real goal but it lags too far behind the work, and people lose the connection between what they shipped and the line on the chart. So we picked an input metric one step upstream and kept revenue as the thing we reported rather than the thing we steered by. And I would rather have one number everyone on the team can recite than a balanced scorecard of nine that nobody remembers.
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See how it worksFollow-up questions to expect
- What was the north star at your last company, and did you agree with it?
- How do you stop teams optimizing the metric at the expense of users?
- How many supporting metrics should sit under it?
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