Product Market Fit Survey

Score the Sean Ellis very-disappointed survey against a supplied PMF cutoff.

Description

A product-market-fit survey share summarizes very-disappointed responses under a chosen cutoff.

A product-market-fit survey share summarizes very-disappointed responses under a chosen cutoff.1

Score the Sean Ellis very-disappointed survey against a supplied PMF cutoff.

When to use Product Market Fit Survey

Use this tool to score the Sean Ellis very-disappointed survey against a supplied PMF cutoff.

Prepare consistently defined customer counts, durations, costs or forecast assumptions. Keep aligned records and monetary amounts on a common period and currency basis.

How to use Product Market Fit Survey and understand its results

  1. Prepare consistently defined customer counts, durations, costs or forecast assumptions. Keep aligned records and monetary amounts on a common period and currency basis.
  2. Enter veryDisappointedResponses, totalResponses, minimumPmfFraction using the field table and calculation rules, then run the tool.
  3. Read veryDisappointedPercent, meetsSurveyThreshold. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
Input fieldMeaningValue type; see rules belowRequirement
veryDisappointedResponsesVery disappointed responsesnumberRequired
totalResponsesTotal responsesnumberRequired
minimumPmfFractionMinimum pmf fractionnumberRequired

Enter positive integer total, integer qualifying count within total and fraction threshold 0–1; return percent/inclusive gate.

share=qualifying/total; percent=100share

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output fieldMeaningValue type
veryDisappointedPercentVery disappointed percentnumber
meetsSurveyThresholdMeets survey thresholdboolean
json
{
  "input": {
    "veryDisappointedResponses": 4,
    "totalResponses": 10,
    "minimumPmfFraction": 0.4
  },
  "output": {
    "veryDisappointedPercent": 40,
    "meetsSurveyThreshold": true
  }
}

Limitations and assumptions

No survey design, bias, confidence interval or PMF diagnosis is supplied.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.

Alternative or Complementary methods

Use Feature Adoption Matrix: Segment feature adoption by reach and usage depth using caller-defined cutoffs. For a complementary task, use Activation Cohort Comparison: Compare activation rates between two consistently defined signup cohorts.

References

  1. Product Market Fit Survey — tool.io

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