NPS: Is This Score Actually Useful?

What Net Promoter Score measures, how to run the survey, and why it can mislead you without context.

February 25, 20262 min read293 words

one-line definition

NPS is a core operating metric that helps small teams make better product and growth decisions.

formula: NPS = % Promoters − % Detractors

tl;dr

NPS asks users one question: "How likely are you to recommend this product?" The score ranges from -100 to +100. Above 50 is strong. Below 0 means you have a problem.

Simple definition

NPS (Net Promoter Score) measures how likely your users are to recommend your product to someone else. You ask one question on a 0-10 scale. Users who answer 9-10 are Promoters. Users who answer 7-8 are Passives. Users who answer 0-6 are Detractors. Subtract the percentage of Detractors from the percentage of Promoters -- that's your NPS.

NPS is a leading indicator. It doesn't directly measure revenue, but products with high NPS tend to have lower churn and stronger word-of-mouth. For an solo founder with no marketing budget, a high NPS means your users are doing your selling for you.

How to calculate it

NPS = % Promoters - % Detractors

Say you survey 60 users. 30 rate you 9-10 (Promoters), 18 rate you 7-8 (Passives), and 12 rate you 0-6 (Detractors).

  • % Promoters = 30/60 = 50%
  • % Detractors = 12/60 = 20%
  • NPS = 50 - 20 = +30

That's decent but not great. A score above 50 means strong loyalty. Below 0 means more people dislike your product than love it.

Example

You ship a writing tool and survey users after 30 days. NPS comes back at +15. You dig into the Detractor responses and see a pattern: 8 of 12 Detractors mention slow export speeds. You spend a week optimizing the export pipeline. Next survey: NPS is +42. The qualitative feedback in NPS responses is often more valuable than the number itself. Read every single Detractor comment -- they're telling you exactly what to fix.

Related terms

  • MRR
  • CAC
  • LTV

FAQ

Why does NPS matter?+

It gives a fast signal about whether your product and distribution system is improving or regressing.

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Onboarding Completion: Where New Users Drop Off

How to track onboarding completion rate and find the step that loses the most people.

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How to Pick a North Star Metric

What a north star metric is, how to choose one, and common mistakes that make it useless.

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