Claims Satisfaction NPS Percent Calculator
Observed NPS from actual distinct cohort response entries0–10:promoters9–10, passives7–8, detractors0–6. Not average satisfaction, claims coverage or representative population inference; caller independently resolves nonresponses/duplicate people.
Description
Net Promoter Score separates promoters, passives and detractors among supplied zero-to-ten responses.
Net Promoter Score separates promoters, passives and detractors among supplied zero-to-ten responses.1
It reports a difference in response shares rather than the mean rating.
When to use Claims Satisfaction NPS Percent Calculator
Use this tool to calculate or review the supplied observations under the stated rules. Establish the contract, jurisdiction, reporting basis, currency and dated evidence that apply.
How to use Claims Satisfaction NPS Percent Calculator and understand its results
- Establish the contract, jurisdiction, reporting basis, currency and dated evidence that apply.
- Enter independentlyCollectedZeroToTenResponses, using the field meanings and rules below, then run the tool.
- Read result.promoterCount, result.passiveCount, result.detractorCount, result.observedNpsPercentagePoints, using the output meanings and calculation rules below.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| independentlyCollectedZeroToTenResponses | Independently collected zero to ten responses | list of number | Required |
Supply a nonempty list of safe-integer response scores 0..10. Count 9–10 as promoters, 7–8 as passives and 0–6 as detractors. Return all three counts and 100×(promoters−detractors)/responseCount.
NPS=100(P−D)/N Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Calculated observation or qualified reference | object |
| result.promoterCount | promoter Count | number |
| result.passiveCount | passive Count | number |
| result.detractorCount | detractor Count | number |
| result.observedNpsPercentagePoints | observed Nps Percentage Points | number |
{
"input": {
"independentlyCollectedZeroToTenResponses": [
0,
6,
7,
8,
9,
10
]
},
"output": {
"result": {
"promoterCount": 2,
"passiveCount": 2,
"detractorCount": 2,
"observedNpsPercentagePoints": 0
}
}
}Limitations and assumptions
This is a percentage-point difference ranging from −100 to 100, not a mean satisfaction score. Duplicate respondents, nonresponses and representativeness require separate review.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Policy In Force Retention Percent Calculator: Cohort retention measures how many eligible starting policies remain in the matched cohort. For a complementary comparison, use Expense Ratio Underwriting Percent Calculator: An underwriting expense ratio compares expenses with the applicable premium denominator for a matched period.
References
Similar or alternative tools
- Policy In Force Retention Percent Calculator
Cohort retention measures how many eligible starting policies remain in the matched cohort.
- Expense Ratio Underwriting Percent Calculator
An underwriting expense ratio compares expenses with the applicable premium denominator for a matched period.