nps-analyser
OfficialTurn NPS data into actionable insights.
Data & Analytics#data-analytics#nps#segment-analysis#churn-risk#customer-loyalty#verbatim-analysis#driver-prioritization
AuthorPeter-Swain-Inc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyze NPS scores, verbatim responses, and trend patterns to surface actionable drivers of loyalty and churn risk using structured analysis and context from FutureProof.
Core Features & Use Cases
- Score decomposition & segmentation: classify responses into Promoters (9–10), Detractors (0–6) and Passives (7–8) and compute overall NPS with segment-level deltas.
- Segment-level drill-down: cross-tabulate NPS by ICA cohorts, tenure, product line, and geography to reveal variance.
- Verbatim thematic analysis: apply a coding framework to verbatim comments to identify primary themes and sentiment.
- Driver prioritisation: generate a Driver Impact Matrix to rank themes by importance and current performance.
- Churn risk flagging: identify high-value Detractors and trajectory changes to estimate revenue risk.
- FutureProof context integration: incorporate existing context, instructions, and historical baselines to tailor analysis.
Quick Start
Provide a sample NPS dataset and run the analysis to generate an executive briefing.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: nps-analyser Download link: https://github.com/Peter-Swain-Inc/futureproof-skills/archive/main.zip#nps-analyser Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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