Product Quick WinSkill: Beginner Immediate

Customer Satisfaction Analysis

Analyze support interactions to improve customer experience

$01//

Expected Impact

AI satisfaction analysis improves CSAT by 25% and identifies improvement opportunities 3x faster

$02//

Recommended Models

Perplexity: Sonar Deep ResearchAnthropic: Claude Opus 4.5
$03//

Inputs Required

CSAT DataBusiness Context
$04//

Prompt Template

Copy and customize for your context
I want to analyze our customer support interactions for our [BUSINESS CONTEXT]. I need to analyze attached data to identify actionable insights for improving customer satisfaction and overall experience: [CSAT DATA]. The goal is to understand key pain points, recurring themes, and strengths in our support process. You are a customer experience analysis expert. Ask any clarifying questions needed about our support channels, feedback formats, or desired outcomes before starting the analysis. CONSTRAINTS: - Analyze both quantitative metrics (e.g., satisfaction scores, response times) and qualitative feedback (e.g., chat transcripts, survey comments) - Identify prevalent issues, root causes, and positive touchpoints - Provide recommendations that can be implemented with available resources DELIVERABLES: - Summary report of main customer satisfaction drivers and obstacles - Thematic analysis highlighting common issues, requests, or praise - Data visualizations (charts or tables) illustrating satisfaction trends and recurring topics - Actionable, prioritized recommendations for improving support interactions Ask any clarifying questions if additional context is needed
$05//

Implementation Tips

1

Provide segmented satisfaction data so AI can identify patterns across customer types

2

Ask for correlation analysis—what drives satisfaction vs just measuring it?

3

Request prioritized improvement recommendations by expected impact

For:
Customer Support ManagerCustomer Success ManagerSupport Specialist
Rift Dispatch