CSAT Driver Analysis

Name: CSAT Driver Analysis
Availability: InStock
Author: Writer

Decompose CSAT score changes into operational and experiential drivers.

6|5|Updated Feb 4, 2026

Search Tags:#root cause analysis #cx #csat #customer satisfaction #operational metrics #driver analysis

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill pinpoints the exact operational and experiential factors causing changes in Customer Satisfaction (CSAT) scores, enabling targeted improvements.

Core Features & Use Cases

Decompose CSAT Changes: Break down score movements by dimension, segment, and channel.
Identify Key Drivers: Use statistical analysis (KDA) to find what truly impacts satisfaction.
Correlate with Operations: Link CSAT shifts to specific operational metrics and changes.
Analyze Verbatims: Extract themes and sentiment from customer comments for qualitative insights.
Use Case: A retail company sees a 3-point drop in CSAT. This Skill reveals it's primarily due to increased BOPIS wait times, correlating with a recent WMS migration, and suggests specific actions to reduce wait times and improve CSAT.

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 find the root cause of a drop in customer satisfaction scores?▼

This Skill decomposes CSAT score movements by service dimension, segment, and channel to pinpoint the exact operational and experiential drivers causing customer satisfaction drops.

How does driver analysis link CSAT changes to operational metrics?▼

Driver analysis correlates CSAT shifts with specific operational metrics and changes, using statistical methods like Key Driver Analysis to reveal what truly impacts customer satisfaction.

Can I extract sentiment themes from customer comments to explain CSAT changes?▼

Yes, you can analyze verbatims to extract themes and sentiment from customer comments, providing qualitative insights that support evidence-based corrective actions for CX improvement.

What is the best way to decompose CSAT changes across different service channels?▼

The best way to decompose CSAT changes is breaking down score movements by dimension, segment, and channel to isolate the specific operational and experiential factors driving satisfaction shifts.

Does this approach support targeted corrective actions for retail CX improvement?▼

Yes, this approach supports targeted, evidence-based corrective actions for CX improvement by correlating satisfaction drops with specific operational metrics like increased BOPIS wait times.