| name | csat-tracking |
| displayName | CSAT Tracking |
| tagline | Track customer satisfaction scores across support channels with trend analysis and alerts. |
| description | Monitors customer satisfaction (CSAT) scores across all support channels.
Tracks satisfaction trends by agent, team, and issue category. Identifies
patterns in low scores, generates improvement recommendations, and alerts
managers when satisfaction drops below thresholds.
|
| department | ["Customer Support","Customer Success"] |
| use_cases | ["Customer Satisfaction","Support Quality","Performance Tracking"] |
| tools_required | ["Zendesk MCP","Slack MCP"] |
| agents_compatible | ["Claude / Claude Code","Cursor","Windsurf","ChatGPT","Any MCP-compatible agent"] |
| author | Webrix |
| verified | true |
| updatedAt | "2026-05-08T00:00:00.000Z" |
| version | 1.0.0 |
| exampleInput | Generate a CSAT report for April.
Break down by channel and agent. Flag any scores below 4.0.
|
| exampleOutput | CSAT Report — April 2026
OVERALL SCORE: 4.3/5.0 (86% satisfaction)
Response Rate: 34% (580/1,700 tickets rated)
BY CHANNEL
Live Chat: 4.5/5.0 (92%)
Email: 4.2/5.0 (84%)
Phone: 4.1/5.0 (82%)
BY AGENT (top performers)
@sarah: 4.7/5.0 (120 ratings)
@mike: 4.5/5.0 (95 ratings)
@lisa: 4.4/5.0 (88 ratings)
LOW SCORE ALERTS
⚠️ @tom: 3.8/5.0 — common complaint: slow response time
⚠️ Billing category: 3.9/5.0 — refund process too complex
RECOMMENDATIONS
1. Coaching session for @tom on response speed
2. Simplify refund workflow (top driver of low scores)
|
CSAT Tracking
Track customer satisfaction scores across support channels with trend analysis and alerts.
Integrations: Zendesk, Slack
When to Use
- The user needs to track customer satisfaction across support channels
- Low satisfaction trends need investigation
- The user mentions "CSAT", "customer satisfaction", or "support quality"
Steps
Step 1: Collect Ratings
Aggregate CSAT data from all support channels.
Step 2: Analyze Trends
Break down scores by channel, agent, and issue category.
Step 3: Flag Issues
Identify agents or categories with below-threshold scores.
Step 4: Generate Recommendations
Provide actionable improvement suggestions based on patterns.
Output
Deliver:
- CSAT summary by channel and agent
- Low-score alerts with root causes
- Improvement recommendations
