Choose metrics that change the next decision.
A number is only useful when the team knows which action it can inform.
Most product dashboards are graveyards of good intentions. Each chart was added for a reason, usually after a meeting where someone asked “do we track that?” Months later, nobody remembers the reason, nobody looks at the chart and nobody would notice if it disappeared.
The problem isn’t too much data. It is metrics that aren’t connected to a decision.
The test: what would we do differently?
Before adding a metric, I ask one question: if this number went up or down sharply next week, what would we do differently?
If the answer is clear — pause the rollout, call the three largest customers, move a story into the next sprint — the metric earns its place. If the answer is “we’d find it interesting”, it probably belongs in an occasional analysis, not on the dashboard everyone opens on Monday.
A metric that can’t change a decision is decoration.
Pair operational signals with customer outcomes
Delivery teams naturally track what they control: velocity, cycle time, defects, release frequency. These are useful, but on their own they can tell you the team is busy while customers are no better off.
The most useful pairs connect the two sides:
- Post-release defects alongside support inquiries — fewer bugs should mean fewer customers asking for help. If one moves and the other doesn’t, something is hiding.
- Feature adoption alongside task success — people using a feature is not the same as the feature working for them.
- Sprint throughput alongside scope confidence — shipping more stories only matters if they are the right stories.
Build a metric tree, not a metric list
A list of metrics treats every number as equally important. A tree shows how they connect: one outcome the business cares about at the top, the handful of drivers underneath it, and the operational signals the team can move each week at the bottom.
The tree does two jobs. It tells the team which lever to pull when the top number moves, and it gives stakeholders a way to understand why a delivery metric matters to the business.
Retire metrics on purpose
Dashboards only grow unless someone prunes them. A simple habit helps: once a quarter, look at every metric and ask whether it changed a decision in the last three months. If it didn’t, archive it. You can always bring it back.
The result is a smaller dashboard that people actually read, and a team that treats measurement as part of the product rather than a reporting obligation.
The short version
- Every metric should have a decision attached to it.
- Pair what the team controls with what the customer experiences.
- Organise metrics as a tree so movement points to a lever.
- Prune regularly. Fewer, sharper numbers beat a wall of charts.