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