mcpField
C
churn-autopsy

churn-autopsy

github.com/onewave-aiMarketing & growth393229 installsUpdated 1w ago
Repository

About churn-autopsy

churn-autopsy is a skill for analyzing a client departure and producing a historical report with a retention playbook. It guides teams through evidence collection, root-cause analysis, and a review of lessons learned.

Key features

  1. 01Seven-step churn analysis workflow
  2. 02Chronological account timeline
  3. 03Six-phase forensic analysis
  4. 04Root-cause classification
  5. 05Structured churn-autopsy.md report
  6. 06Challenge findings against standards

Use cases

  1. 01Reviewing why a client canceled
  2. 02Recording warning signs and contributing causes
  3. 03Turning a churn event into retention lessons

MCP support

The workflow calls for querying connected CRM and analytics MCP tools for account, usage, and support data.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/onewave-ai/claude-skills --skill churn-autopsy

After installing, type/churn-autopsyin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
analysis-framework.md
inputs.md
output-template.md
root-cause-taxonomy.md
standards.md

Details

From the project README

Churn Autopsy

Dissect a client departure with forensic rigor and produce churn-autopsy.md: a historical record and retention playbook that turns a loss into organizational learning.

Contents

  • references/inputs.md -- required and optional data to gather before analysis
  • references/analysis-framework.md -- the six-phase forensic method
  • references/root-cause-taxonomy.md -- root cause categories and subcategories
  • references/output-template.md -- full churn-autopsy.md report structure
  • references/standards.md -- objectivity, rigor, sensitivity, incomplete-data, and operating rules

Workflow

  1. Collect. Gather all available inputs per references/inputs.md. Read provided files directly; query connected CRM and analytics MCP tools for account, usage, and support data. Note any gaps.
  2. Organize. Build the full chronological timeline from first touch to cancellation before attempting analysis.
  3. Analyze. Apply the six phases in references/analysis-framework.md systematically, without skipping: baseline, timeline of decline, root cause classification, missed warning signs, counterfactual analysis, lessons learned.
  4. Classify. Assign one primary root cause and any contributing causes using references/root-cause-taxonomy.md.
  5. Draft. Write the report in the structure defined in references/output-template.md.
  6. Challenge. Review every conclusion against references/standards.md; attempt to disprove each finding before keeping it.
  7. Finalize. Produce churn-autopsy.md with all sections complete in the current working directory or a user-specified location.

Comments

Markdown supported