nps-analyser

Name: nps-analyser
Availability: InStock
Author: Peter-Swain-Inc

Analyze NPS scores, verbatim feedback, and trends to identify loyalty and churn drivers.

1|1|Updated Apr 1, 2026

Search Tags:#data-analytics #nps #segment-analysis #churn-risk #customer-loyalty #verbatim-analysis #driver-prioritization

Ready to run

npx skills add https://github.com/Peter-Swain-Inc/futureproof-skills --skill nps-analyser

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: nps-analyser
Source: https://github.com/Peter-Swain-Inc/futureproof-skills/tree/main/plugins/futureproof-customer-service-support/skills/nps-analyser
Command: npx skills add https://github.com/Peter-Swain-Inc/futureproof-skills --skill nps-analyser

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about nps-analyser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze NPS verbatim feedback to identify drivers of customer churn?▼

You can analyze NPS verbatim feedback by applying a coding framework to identify primary themes and sentiment, then ranking these themes in a Driver Impact Matrix to prioritize actions and flag high-value churn risks.

What is the best way to segment NPS scores across different customer cohorts and product lines?▼

Segment NPS scores by cross-tabulating Promoter, Passive, and Detractor classifications against ICA cohorts, tenure, product lines, and geographies to reveal variance and segment-level deltas for targeted insights.

Can I generate an executive brief and action roadmap directly from NPS survey data?▼

Yes, you can generate an executive brief and action roadmap from NPS survey data by processing scores and verbatim responses through driver prioritization and churn risk assessment to produce structured reporting outputs.

Does NPS analysis require structured input data for calculating segment-level deltas?▼

Yes, NPS analysis requires structured input data containing multiple segments such as ICA cohorts and product lines to compute overall NPS and segment-level deltas for robust statistical calculations.

How do I prioritize customer loyalty drivers using a Driver Impact Matrix?▼

Prioritize customer loyalty drivers by generating a Driver Impact Matrix that ranks verbatim themes by importance and current performance, transforming sentiment data into actionable prioritized outputs.