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Free NPS, CSAT, and CES Calculator

Calculate customer experience scores from survey counts and percentages in one deterministic scorecard.

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Tool 01

NPS / CSAT / CES Calculator Suite

Calculate customer experience KPIs from response counts and distributions.

NPS / CSAT / CES Calculator Suite

Calculate customer experience metrics from survey response distributions.

NPS detractors (0-6)NPS passives (7-8)NPS promoters (9-10)

CSAT satisfied responsesCSAT total responses

CES distribution (scores 1..7, comma-separated counts)

Customer experience scorecard

NPS

37.5

CSAT

80.0%

CES average

4.81

CES normalized score: 63.4 / 100

{
  "nps": 37.5,
  "csat": 80,
  "cesMean": 4.806060606060606,
  "cesNormalized": 63.43434343434343,
  "totals": {
    "nps": 800,
    "csat": 400,
    "ces": 165
  }
}

How it works

NPS / CSAT / CES Calculator Suite: methodology and worked example

How this tool computes its result

Three independent CX formulas computed from raw response counts. NPS = `(promoters/total*100) - (detractors/total*100)` over `total = detractors + passives + promoters`. CSAT = `satisfied/total*100`. CES parses a comma-separated distribution string that must contain exactly 7 non-negative numeric values (representing response counts for effort scores 1 through 7), computes a weighted mean `Σ(count_i * score_i) / Σcount_i`, then normalizes it to a 0–100 scale via `(mean - 1) / 6 * 100`. Each metric is gated independently: NPS total must be > 0, CSAT total must be > 0 with `0 ≤ satisfied ≤ total`, and the CES array must have exactly 7 valid non-negative entries summing to more than 0 — any failure replaces the whole result with a single error string.

Worked example

Detractors=120, passives=260, promoters=420 (total=800): NPS = (420/800*100) - (120/800*100) = 52.5 - 15 = 37.5. CSAT with satisfied=320, total=400 = 80.0%. CES distribution "5,10,18,30,42,36,24" (165 total responses): weighted sum = 5(1)+10(2)+18(3)+30(4)+42(5)+36(6)+24(7) = 5+20+54+120+210+216+168 = 793 → mean = 793/165 = 4.81 → normalized = (4.81-1)/6*100 = 63.5/100.

When not to use this tool

CES strictly requires exactly 7 comma-separated values mapped to effort scores 1–7 — it cannot represent CES surveys built on a different scale (e.g. a 1–5 scale) without artificially padding or misrepresenting the distribution.

Common mistakes

- Entering fewer or more than 7 values in the CES distribution field (e.g. a 5-point scale) — the tool rejects the whole calculation with "CES distribution must contain 7 non-negative values" instead of adapting to a different scale.
- Setting CSAT "satisfied" responses higher than "total" responses — explicitly rejected by the `csatSatisfied > csatTotal` check, which returns an error rather than clamping the value.
- Reading the NPS result as a percentage of respondents; it is a score from -100 to 100 (the difference of two percentages), so 37.5 means promoters exceed detractors by 37.5 percentage points, not that 37.5% of respondents were promoters.

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