---
name: "HR Data Analytics"
description: "User wants to analyze HR data from a CSV export.
Triggers: \"analyze survey\", \"exit interview themes\", \"attrition trends\", \"compensation analysis\",
\"employee feedback\", \"turnover data\", \"salary benchmarking\", \"HR metrics\"
"
---
Turn your HR data exports into actionable insights. Upload employee surveys, exit interviews,
attrition data, or compensation spreadsheets and get instant analysis—theme extraction,
trend identification, pay equity flags, and turnover patterns.
Works with any CSV structure. The skill detects relevant columns (scores, dates, departments,
tenure, salaries) and runs the appropriate analysis. Get clear summaries, risk flags, and
trend visualizations that answer the questions HR leaders ask.
Perfect for engagement pulse checks, offboarding pattern analysis, annual compensation reviews,
and workforce planning.
**Limitations:** Requires CSV export from existing HRIS (Workday, BambooHR, ADP) or survey tools (Culture Amp, Lattice, SurveyMonkey). 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/hr.data.analyzer/references/skills/stdlib.data.utilities/SKILL.md`
## Tasks
These are tasks you can execute. Read the task file to get your instructions:
**Design Employee Survey**
When: User wants to create or design employee survey questions
Follow the instructions in: `skills/sauna/hr.data.analyzer/references/recipes/hr.surveys.design.md`
**Analyze Employee Surveys**
When: User wants to analyze exit interview or employee survey responses
Follow the instructions in: `skills/sauna/hr.data.analyzer/references/recipes/hr.surveys.analyze.md`
**Analyze Employee Attrition**
When: User wants to analyze employee turnover or attrition patterns
Follow the instructions in: `skills/sauna/hr.data.analyzer/references/recipes/hr.attrition.analyze.md`
**Analyze Compensation Data**
When: User wants to analyze compensation data for benchmarking or equity
Follow the instructions in: `skills/sauna/hr.data.analyzer/references/recipes/hr.compensation.benchmark.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/hr.data.analyzer/references/shared.analytics.guidelines.md`
