Net Promoter Score (NPS)

A single survey question — how likely are you to recommend this to a colleague, on a 0–10 scale — reduced to one score by subtracting the share of detractors (0–6) from the share of promoters (9–10).

Why does Net Promoter Score (NPS) matter?

NPS is popular because it's cheap to collect and easy to trend, and that's exactly what makes it dangerous to over-read. It's a stated intention, not an observed behavior — the same gap that makes leading questions unreliable in customer interviews applies here, just at scale. A rising NPS with flat or falling retention should be trusted less than the retention curve, because retention is what people actually did, not what they said they might do. NPS is worth collecting as a fast directional signal and worth distrusting as a proof point on its own.

What does Net Promoter Score (NPS) look like in practice?

Suppose a survey of 100 users returns 50 promoters, 30 passives, and 20 detractors — an NPS of 30. That number alone says almost nothing about whether the business is healthy. Segmented, it might reveal that promoters are concentrated in the practices with the highest retention and detractors in the segment already known to be churning — in which case NPS is confirming something the retention data already showed. If NPS is rising while cohort retention is flattening, the honest read is that people are getting more polite, not that the product is getting better.

What are the common mistakes with Net Promoter Score (NPS)?

  • Treating NPS as a proxy for retention rather than checking whether it actually correlates with retention in this business.
  • Reporting a single blended score instead of segmenting it, which hides that one segment is dragging the average down.
  • Chasing NPS improvements with cosmetic changes that make people feel more positive without changing whether they stay.
  • Sampling only engaged users who respond to surveys, which silently excludes the detractors most likely to already be gone.

Related concepts

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