CSAT Driver Analysis

Decompose CSAT score changes into operational and experiential drivers.

1|1|Updated Feb 19, 2026

Search Tags:#analytics #reporting #cx #csat #customer satisfaction #driver analysis

Ready to run

npx skills add https://github.com/GoldenZero/skills --skill csat-driver-analysis-goldenzero

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: CSAT Driver Analysis
Source: https://github.com/GoldenZero/skills/tree/main/skills/csat-driver-analysis
Command: npx skills add https://github.com/GoldenZero/skills --skill csat-driver-analysis-goldenzero

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) and scripts (resource) components.

What problem does it solve?

This skill explains why Customer Satisfaction (CSAT) scores have changed by identifying the specific operational and experiential factors that are driving those movements.

Core Features & Use Cases

Decompose CSAT Changes: Break down score movements by dimension, segment, and channel.
Identify Key Drivers: Use statistical methods (like Key Driver Analysis) to pinpoint what truly impacts customer satisfaction.
Correlate with Operations: Link CSAT shifts to specific operational metrics and events.
Analyze Verbatim Feedback: Extract themes and sentiment from customer comments to provide qualitative context.
Generate Actionable Recommendations: Provide data-driven suggestions for improving CSAT.
Use Case: A retail company sees a 3-point drop in its overall CSAT score. This skill can analyze the data to reveal that the drop is primarily due to a decline in delivery speed satisfaction among a specific customer segment, correlating with a recent change in shipping carriers. It can then recommend actions to address the delivery issues.

Quick Start

Analyze my CSAT driver and recommend clear next actions.

Frequently Asked Questions about CSAT Driver Analysis

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

FAQPage Schema

How do I analyze what is driving changes in customer satisfaction scores?▼

To analyze customer satisfaction score changes, you decompose CSAT movements into contributing factors across service dimensions. This process uses statistical methods like Key Driver Analysis to pinpoint specific operational and experiential factors impacting your scores.

What data do I need to identify CSAT drivers using statistical analysis?▼

Identifying CSAT drivers requires individual survey responses, survey dimensions, customer attributes, operational metrics, verbatim comments, change logs, and historical CSAT data. This comprehensive dataset enables the statistical correlation of satisfaction shifts to specific operational events.

How do I correlate operational metrics with CSAT score drops?▼

Correlating operational metrics with CSAT drops involves linking satisfaction shifts to specific operational events and service dimensions. By analyzing historical data and change logs alongside survey responses, you can isolate the exact operational factors causing score movements.

Can customer verbatim comments be used to extract CSAT drivers?▼

Verbatim comments are analyzed to extract themes and sentiment, providing qualitative context for CSAT driver analysis. This textual feedback is processed alongside operational metrics to explain why customer satisfaction scores have changed.

What is the best way to decompose CSAT changes by customer segment and channel?▼

The best way to decompose CSAT changes is to break down score movements by dimension, segment, and channel using statistical rigor. This method isolates specific experiential drivers, allowing you to target exactly which segments are impacting overall satisfaction.

How do I generate actionable recommendations from a customer satisfaction driver analysis?▼

Generating actionable recommendations from CSAT driver analysis involves using the identified operational and experiential drivers to suggest data-driven improvements. This translates isolated factors, like delivery speed issues, into clear next actions to improve overall satisfaction.