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NPS + PMF
One Survey. Two Metrics.
4x Deeper Insights

NPS shows who recommends you. PMF shows who needs you. Together, they reveal exactly which users to prioritize and which feedback to ignore

10+
Startups Measuring PMF + NPS
2,000+
Survey Responses Analyzed
30 Days
To First Meaningful PMF Score
35+ pts
Average PMF improvement

Running NPS and PMF together changed how we prioritize. We discovered our highest NPS users weren't our most engaged and that insight alone saved us from building the wrong features.

N
Nick Cohen
Product Lead, B2B SaaS

What is Net Promoter Score (NPS)?

NPS measures customer loyalty by asking one simple question:"How likely are you to recommend us to a friend or colleague?"

Respondents rate on a 0-10 scale and are categorized as:

  • 9-10
    Promoters - Loyal enthusiasts who will keep buying and refer others
  • 7-8
    Passives — Satisfied but unenthusiastic, vulnerable to competition
  • 0-6
    Detractors — Unhappy customers who can damage your brand

NPS Formula

NPS = % Promoters - % Detractors

Your score ranges from -100 to +100. Generally:

Below 0

Needs work

0-30

Good

30-70

Great

70+

Excellent

NPS is Powerful, But It's Not the Full Picture

NPS tells you if customers will recommend you. But it doesn't tell you if your product is essential to them.

High NPS ≠ Product Market Fit

Users might recommend you because you're "nice to have", but would they be devastated if you disappeared?

Different Questions, Different Insights

NPS asks "will you recommend?" PMF Score asks "how disappointed would you be without us?", a much deeper signal.

Best Results Together

Running both surveys gives you a complete picture: loyalty (NPS) + product essentialness (PMF Score).

NPS vs PMF Score

Both are valuable metrics, but they measure fundamentally different things. Here's why you need both.

NPS (Net Promoter Score)

Measures satisfaction and advocacy (Lagging indicator)

The question:

"How likely are you to recommend our product to a friend or colleague?"

What it measures

Satisfaction, loyalty, and willingness to advocate

Best for

Tracking customer satisfaction over time, predicting word-of-mouth growth

The limitation

Users can be satisfied but not dependent. High NPS doesn't always mean you have product market fit.

"I'd recommend it to others, but I wouldn't miss it if it disappeared."

→ This is what NPS can miss

PMF Score

Measures genuine need and dependency (Leading indicator)

The question:

"How would you feel if you could no longer use our product?"

What it measures

True product market fit, whether users are dependent on your product

Best for

Pre-PMF startups validating product necessity, finding must-have user segments

The advantage

Leading indicator that predicts growth. Get actionable data in 30 days vs 6-12 months for retention metrics.

"I'd be very disappointed without it. It solves a critical problem for me."

→ This is genuine product market fit

Key Differences at a Glance

NPSPMF Score
What it asks"Would you recommend?""Would you be disappointed?"
MeasuresSatisfaction & advocacyGenuine need & dependency
Indicator typeLagging indicatorLeading indicator ✓
Time to insightsOngoing tracking30 days ✓
Best stagePost-PMF growthPre-PMF validation ✓
Threshold50+ is "excellent"40%+ = PMF achieved ✓

The Bottom Line

NPS measures satisfaction. It's great for tracking how happy customers are and predicting word-of-mouth growth. But satisfied customers don't always stick around.

PMF Score measures need. It tells you if users are truly dependent on your product, the foundation for retention and sustainable growth.

Use PMF Score to figure out WHY you do or don't have product market fit, then use NPS to track satisfaction as you scale.