Measure What Matters, Not What's Easy
If your dashboard is full of vanity metrics, you are optimizing for the feeling of progress.
Every product team has a dashboard. Most of them are useless. They are full of numbers that go up and to the right because they are designed to. Page views, total signups, features released, tickets closed. These metrics feel good. They do not tell you whether your product is working.
The metrics that matter are the ones that hurt when they go down. Net revenue retention. Time-to-value for new users. The percentage of users who hit the activation milestone in their first session. Weekly active usage by cohort, not in aggregate. These numbers are harder to move, harder to game, and infinitely more useful.
The trap is that useful metrics are usually harder to instrument and slower to change. It is easier to track page views than to build cohort retention analysis. It is easier to count signups than to measure how many of those signups became paying customers six months later. The difficulty is the point. If a metric is easy to move, it is probably not connected to anything that matters.
Pick one metric that would genuinely change your product decisions if it moved 20% in either direction. If you cannot find one, you are not measuring the right things. That single metric should be visible to every person on the team, updated at least weekly, and the first thing discussed in every planning meeting.
Your dashboard should make you uncomfortable. If everything looks green all the time, you are either not measuring enough or not measuring the right things.
“Your dashboard should make you uncomfortable. If everything looks green all the time, you are not measuring the right things.”
When this goes wrong
Dashboards full of vanity metrics that always trend up. Celebrating "10,000 signups" without knowing how many became active users. Reporting on output metrics (features shipped, bugs fixed) instead of outcome metrics (retention, revenue, activation).
In practice
- ✓Define one North Star metric the whole team rallies around
- ✓Build cohort-based retention charts, not aggregate user counts
- ✓Review metrics weekly with the question: "What would we do differently if this number changed?"
- ✓Kill any metric from your dashboard that has not influenced a decision in 30 days