customer satisfaction recovery planner

The problem

Customer complaints and churn signals often get lost in support tickets without a path to systemic resolution. Management struggles to differentiate between isolated friction and catastrophic process failures that threaten high-value accounts.

What it does

• Triages dissatisfaction signals into four severity tiers based on financial impact, legal risk, and service level targets.
• Categorizes root causes into process, people, technical, policy, or expectation failures to identify where the organization is leaking value.
• Generates structured recovery plans with specific corrective work, proactive care, and inspection tasks assigned to functional owners.
• Calculates priority scores (P0-P3) by weighing severity, systemic impact, customer lifetime value, and effort.
• Defines objective closure criteria and evidence requirements to prevent "false" ticket resolutions.

Why this beats prompting it yourself

A basic prompt usually offers generic empathy or basic support replies. This skill applies a formal operational framework that enforces accountability through evidence-based closure, multi-departmental routing, and weighted prioritization logic that aligns with business outcomes rather than just "closing tickets."

Use cases

• Post-outage recovery planning to coordinate engineering patches with proactive customer success outreach.
• Analyzing quarterly NPS or CSAT open-ended comments to build a systemic remediation roadmap for product teams.
• Managing high-stakes enterprise escalations where multiple departments must sync on refunds, technical fixes, and follow-up.
• Auditing support quality by identifying recurring "unknown" root causes that require deeper operational inspection.

Known limitations

Requires structured or semi-structured input context regarding customer value or account tier to calculate priority scores accurately. It does not directly integrate with CRM APIs but provides the structured plan for manual or automated import.