An NPS dashboard answers one question well: did the experience get better or worse? To decide what to change in the product, the other half is missing. Why the score moved.
NPS and churn, with the people behind the score
At Turno, a marketplace that connects cleaners with short-term rental property managers, I implemented NPS and churn tracking, with recurring reports and dashboards. Alongside the numbers, I ran interviews with detractors.
Detractor interviews explained the changes in the metrics and informed onboarding improvements that reduced drop-off.
The reports showed when and how much a metric changed. The interviews showed the reason, and the reason is what a team can fix.
Satisfaction tied to use
At Gameram, a social app where gamers find people to play with, the question was different: does the feature deliver what it promises? To answer it, I linked feature outcomes to satisfaction.
82% of users who played together were satisfied, versus 36% of those who never interacted.
An overall satisfaction average would hide that gap. Separating those who used the feature from those who didn’t showed where the product delivers value and where it doesn’t reach yet.
What I take from this
- A metric without interviews is an alarm. It shows that something changed, not what to do.
- Recurrence matters more than this month’s number. Recurring reports show trends, not noise.
- Split by behavior. Satisfaction of users versus non-users says more than the average.
Numbers and stories, together. That’s how a metric becomes a decision.
Some details have been omitted for confidentiality.