Glossary
Vanity metric
A vanity metric is a number that reliably goes up, feels good to report, and changes no decision: page views, followers, total signups since launch. The first tell is cumulative counting, because a running total can only rise. The second is that nobody in the room can say what they would do differently if it doubled.
01
How to spot one before it reaches the board
Two questions keep vanity rows off a Scorecard. What would we do differently if this number halved this week, and can it go down at all? A row that fails either one is a report line rather than a measure. Cumulative totals are the usual offenders, and the fix is nearly always to count the current period instead.
Vanity rows are not harmless. They take up the attention a board can hold, and they hand a struggling team something green to point at. The pattern is easiest to see in marketing, where impressions and followers grow for free, but it turns up in operations too. Hours worked is a vanity metric wearing a hard hat.
Worked example: A trade association reported total members since founding at every board meeting, a number that had never fallen in nineteen years. Switching to members who renewed this quarter showed renewals sliding for six quarters, with the total carried by a legacy category nobody had reviewed. The old number went into the annual report and off the board.
Sources: kpi.org/kpi-basics; klipfolio.com/resources/kpi-examples
Metric
A metric is any measurement your systems can produce: page views, tickets closed, average order value, headcount, days since the last accident.
02KPI
A KPI is a number a leadership team has agreed to run the business by: one owner, a goal written next to it, and a slot on the weekly agenda.
03North Star metric
A north star metric is the single number a company picks to stand for the value it delivers, used to keep every team pointed the same way.
04KPIs: what they are, how many to track, and which matter
A practical guide to key performance indicators for small companies: definitions, leading vs lagging measures, examples by department, and how many to track.
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