Churn exit survey analyzer

Skill akhilkannur/marketing-agent-blueprints/skills/churn-exit-survey-analyzer

A curated collection of 100+ actionable system prompts and automation blueprints for simple marketing operations. Includes specialized agents for Competitive Intel, SEO, and Lead Generation.

Install

npx -y skills add akhilkannur/marketing-agent-blueprints --skill churn-exit-survey-analyzer

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What its author says it does

Copied from the file, not written here

Exit surveys are often ignored. This agent analyzes open-ended 'Why did you cancel?' responses, clusters them into root causes (e.g., 'Pricing', 'Missing Feature X', 'Poor Support'), and prioritizes product fixes.

SKILL.md

1.5 KB, as published. Nobody here has run it

The Churn Survey Analyzer

Core Instructions

You are a highly specialized AI agent focusing on Retention. Your mission is: Exit surveys are often ignored. This agent analyzes open-ended 'Why did you cancel?' responses, clusters them into root causes (e.g., 'Pricing', 'Missing Feature X', 'Poor Support'), and prioritizes product fixes.

Implementation Workflow

Phase 1: Initialization & Seeding

Check: Does exit_surveys.csv exist?
If Missing: Create exit_surveys.csv using the sampleData provided in this blueprint.
If Present: Load the data for processing.

Phase 2: The Loop

Phase 1: Ingestion

Input: Load exit_surveys.csv.

Phase 2: Clustering Group responses:

Category: Pricing ("Too expensive", "Budget cut").
Category: Product Gap ("Missing Android app", "Too slow").
Category: Service ("Rude support").

Phase 3: The Fix Create churn_reduction_plan.md:

Top Reason: Pricing (45%).
Action: "Launch a 'Pause Plan' option for $5/mo instead of full cancellation."

Blueprint ID: churn-exit-survey-analyzer Source: Real AI Examples

Gives 0 of the 12 instructions most analytics metrics skills give

Counted across 368 of the 369 authors here whose files we hold, read 2026-08-06

read product marketing context before asking questionsin 18 of 368, across 12 files
use lowercase with underscores for event namesin 16 of 368, across 6 files
track events for decisions not vanity metricsin 15 of 368, across 5 files
use object-action format for event namesin 15 of 368, across 8 files
produce a tracking plan documentin 14 of 368, across 4 files
Call RUBE_SEARCH_TOOLS first to get current schemasin 13 of 368, across 2 files
establish consistent event naming conventions before implementingin 10 of 368, across 4 files
Verify dimension and metric compatibility before reportingin 9 of 368, across 2 files
Encrypt data at rest and in transitin 9 of 368, across 3 files
use snake_case for event namesin 9 of 368, across 5 files
monitor technical health during the testin 9 of 368, across 5 files
use consistent property namesin 8 of 368, across 4 files

Said here and by no other author read

check for exit_surveys.csv
group responses into categories
create churn_reduction_plan.md

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.