菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| 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) |
Track customer satisfaction scores across support channels with trend analysis and alerts.
Integrations: Zendesk, Slack
Aggregate CSAT data from all support channels.
Break down scores by channel, agent, and issue category.
Identify agents or categories with below-threshold scores.
Provide actionable improvement suggestions based on patterns.
Deliver:
Helps design statistically rigorous A/B tests for marketing campaigns, landing pages, and product features. Calculates required sample sizes, defines success metrics, sets up test variants, and analyzes results with confidence intervals. Prevents common testing mistakes like peeking and underpowered tests.
Detects abandoned carts and triggers recovery workflows including email sequences, discount offers, and retargeting campaigns. Analyzes cart abandonment patterns to identify friction points in the checkout flow. Tracks recovery rate and revenue recaptured.
Automates the bank reconciliation process by matching transactions from bank feeds with accounting records in QuickBooks or Xero. Identifies unmatched transactions, suggests matches for review, and flags discrepancies. Reduces manual reconciliation time and improves financial accuracy.
Creates multi-channel marketing campaigns with automated workflows. Designs email sequences, social media schedules, and ad targeting rules. Tracks campaign performance across channels and optimizes based on engagement metrics and conversion data.
Creates intelligent chatbot workflows that handle common customer queries, collect information, and route complex issues to human agents. Designs conversation flows, configures response templates, and tracks chatbot performance metrics like resolution rate and handoff rate.
Performs cohort analysis to understand user retention, engagement, and revenue patterns over time. Groups users by signup date, acquisition channel, or plan type and tracks how their behavior changes week over week. Identifies which cohorts retain best and what drives long-term engagement.
