customer satisfaction recovery planner

    1

    Converts complaints and churn signals into a prioritized recovery roadmap with assigned owners and closure criteria.

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    customer satisfaction recovery planner

    Example session with this skill installed

    Analyze these signals

    1. Enterprise client Acme Corp reports a 2nd missed delivery this month.
    2. Three users complained about the new UI being confusing.
    3. System outage affected all users for 2 hours.
    • Read your context and instructions
    • Compiled the customer satisfaction recovery

    The dissatisfaction signals have been analyzed and prioritized. A systemic technical failure and recurring process gaps were identified.

    Customer Satisfaction Recovery Plan

    IDCustomer/IncidentSeverityCauseAction TypeOwnerPriorityDeadlineClosure Criteria
    R-001Global System Outage (All Users)CriticalSystemCorrective, Proactive CareEng Lead / CS OpsP0< 4 HoursPatch deployed, 24h stability, RCA published
    R-002Acme Corp (Enterprise) - Repeat Delivery FailureHighProcess / PeopleCorrective, Follow-upOperations / AMP124 HoursCredit issued, delivery verified, CSAT > 4
    R-003UI Confusion (3 signals)MediumProduct / ExpectationInspection, ProactiveProduct DesignP25 DaysUX audit complete, help docs updated

    Systemic Driver Analysis

    1. Driver: Recurring Logistics Failure (R-002)

      • Evidence: 2 incidents in 30 days for Enterprise tier.
      • Root Cause: Likely breakdown in last-mile carrier handoff.
      • Action: Audit carrier performance and re-negotiate SLAs.
      • Owner: Operations Director.

    2. Driver: Deployment Stability (R-001)

      • Evidence: 100% user impact, 2-hour downtime.
      • Root Cause: Infrastructure regression.
      • Action: Implement automated canary deployments.
      • Owner: DevOps Lead.

    Next steps

    • Assign the Eng Lead to draft the outage post-mortem (R-001).
    • Operations must confirm the credit amount for Acme Corp by EOD (R-002).
    • Schedule a UX review session to address UI friction points (R-003).

    Connects securely to your tools. The creator never sees your data.

    About this skill

    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.

    Requires input context regarding customer tier or value to accurately calculate P-level scores. Does not perform automated API writes to CRMs.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    This skill transforms disorganized feedback into a structured operational roadmap, assigning specific corrective tasks and priority scores to ensure complaints lead to systemic fixes rather than just polite replies.

    The skill requires a description of the customer's issue and, for best results, context regarding the account's value or tier to accurately calculate P0-P3 priority rankings.

    You receive the fully engineered skill logic and a structured recovery framework designed to produce consistent, multi-departmental action plans across any compatible AI agent platform.

    While it doesn't log into your CRM directly, it generates a structured output formatted for easy copy-pasting or automated import into tools like Salesforce, HubSpot, or Jira.

    This skill is highly effective for high-stakes enterprise escalations, post-outage remediation, and turning qualitative NPS/CSAT feedback into actionable product development tasks.

    New in Business & Operations