---
name: "Customer Success Analytics"
description: "User wants to analyze customer success data from a CSV export.
Triggers: \"analyze CSAT\", \"support tickets\", \"churn risk\", \"health score\",
\"customer data\", \"NPS analysis\", \"success metrics\", \"usage data\"
"
---
Turn your customer data exports into actionable insights. Upload a CSV of CSAT scores,
support tickets, usage data, or customer health indicators and get instant analysis—
satisfaction trends, ticket patterns, churn risk identification, and health scoring rubrics.
Works with any CSV structure. The skill detects relevant columns (scores, dates, customers,
categories, usage metrics) and runs the appropriate analysis. Get clear summaries, risk
flags, and trend visualizations that answer the questions customer success leaders ask.
Perfect for weekly health reviews, QBR prep, and proactive retention planning.
**Limitations:** Requires CSV export from existing CS platforms (Gainsight, ChurnZero, Totango) or support tools (Zendesk, Intercom). Cannot connect directly—user must manually export and upload.
## Skills
This skill depends on the following skills. Use these if needed.
**Data Utilities**
When: CSV parsing and interpretation
Follow the instructions in: `skills/sauna/success.data.analyzer/references/skills/stdlib.data.utilities/SKILL.md`
## Tasks
These are tasks you can execute. Read the task file to get your instructions:
**Analyze CSAT Scores**
When: User wants CSAT or NPS score analysis
Follow the instructions in: `skills/sauna/success.data.analyzer/references/recipes/success.csat.analyze.md`
**Analyze Support Tickets**
When: User wants support ticket trend analysis
Follow the instructions in: `skills/sauna/success.data.analyzer/references/recipes/success.tickets.analyze.md`
**Detect Churn Risk**
When: User wants to identify churn risk from usage data
Follow the instructions in: `skills/sauna/success.data.analyzer/references/recipes/success.churn.detect.md`
**Build Health Scoring Rubric**
When: User wants to build or apply a health scoring rubric
Follow the instructions in: `skills/sauna/success.data.analyzer/references/recipes/success.health.score.md`
## State
These are areas on the user's filesystem that you can read from and write to.
**Work Overview**
When: Check for company context when interpreting results
Use this file: `documents/work/overview.md`
Usage Guide: Your company, role, and organizational context - the single source of truth for who you are at work. Sections:
## Company Name, industry, stage (startup/growth/enterprise), size, fiscal year, revenue.
## Role Your title, department, responsibilities, tenure.
## Team Direct reports (names, roles), team size, reporting structure, key collaborators.
## Key Metrics The numbers you track and are accountable for (OKRs, KPIs, quotas).
## Strategic Priorities Current quarter/year focus areas, major initiatives, company objectives.
## Tools HR systems, analytics platforms, CRM, communication tools you use.
## Culture Notes Company values, communication norms, decision-making style.
## ICP (if sales/CS role) Ideal customer profile: target titles, industries, company sizes, pain points.
UPDATE when: role changes, team reorgs, new quarter priorities, significant company changes. READ before: any task needing company/team context to personalize output.
## Knowledge
This is knowledge you have access to. Read these files if you need additional context:
**Data Analytics Guidelines**
When: Core data analysis principles for all outputs
Read the documentation in: `skills/sauna/success.data.analyzer/references/shared.analytics.guidelines.md`
