What do I need to use CSAT / NPS Analysis?

The metric & data; The verbatims; Context.

Is CSAT / NPS Analysis free to use?

Yes — run it free in the browser playground (no API key needed for the sponsored trial, or bring any provider key), or install it into Claude Code, Cursor, ChatGPT and more via npx pm-claude-skills. MIT-licensed and open source.

CSAT / NPS Analysis

Q: How do I know the CSAT / NPS Analysis output is good?

The skill verifies itself against its own quality checks: NPS is computed as %promoters − %detractors (not an average of scores); The distribution and trend vs. last period are shown, plus a benchmark/target; Verbatims are themed into promoter/detractor drivers, with a representative quote each; Segment differences are surfaced where the data allows (the average lies).

🔵 Stable🕐 updated 2026-06-28 🔷 SkillSpec L3 ⚙ ships an executable helper pm-support

Analyse CSAT / NPS / CES survey results and turn the score into actions. Use when asked to analyse NPS, CSAT, or CES data, compute an NPS score, interpret survey verbatims, or build a voice-of-customer readout. Produces a readout — the computed score, the trend & benchmark, themed analysis of the comments (what drives promoters vs. detractors), and prioritised actions. Includes a stdlib NPS/CSAT calculator.

▶ Run it free — no key needed 📝 Grade your existing draft View SKILL.md ↗

What to give it

▸The metric & data — NPS (0–10 ratings), CSAT (e.g. 1–5 or % satisfied), or CES; the response counts/distribution.

▸The verbatims — open-text comments (the gold; paste what you have).

▸Context — segment, time period, and the prior score for trend.

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

✓NPS is computed as %promoters − %detractors (not an average of scores)

✓The distribution and trend vs. last period are shown, plus a benchmark/target

✓Verbatims are themed into promoter/detractor drivers, with a representative quote each

✓Segment differences are surfaced where the data allows (the average lies)

✓Ends with prioritised, owned actions tied to the biggest detractor themes

⚠️ What it refuses to do

Do not average NPS ratings — it's a net of percentages; averaging gives a meaningless number

Do not report the score without the why — the verbatims are where the action is

Do not ignore passives — they're the cheapest group to convert into promoters

Do not stop at the score — an analysis with no prioritised action changes nothing

Do not trust a tiny sample — flag low n; a 12-response NPS swing is noise, not a trend

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

<div data-pm-skill="csat-nps-analysis"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

CSAT / NPS Analysis is one of 599 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog