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people-analytics

npx machina-cli add skill anthropics/knowledge-work-plugins/people-analytics --openclaw
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SKILL.md
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People Analytics

Analyze workforce data to surface trends, risks, and opportunities.

Key Metrics

Retention

  • Overall attrition rate (voluntary + involuntary)
  • Regrettable attrition rate
  • Average tenure
  • Flight risk indicators

Diversity

  • Representation by level, team, and function
  • Pipeline diversity (hiring funnel by demographic)
  • Promotion rates by group
  • Pay equity analysis

Engagement

  • Survey scores and trends
  • eNPS (Employee Net Promoter Score)
  • Participation rates
  • Open-ended feedback themes

Productivity

  • Revenue per employee
  • Span of control efficiency
  • Time to productivity for new hires

Approach

  1. Understand what question they're trying to answer
  2. Identify the right data (upload, paste, or pull from ~~HRIS)
  3. Analyze with appropriate statistical methods
  4. Present findings with context and caveats
  5. Recommend specific actions based on data

Source

git clone https://github.com/anthropics/knowledge-work-plugins/blob/main/human-resources/skills/people-analytics/SKILL.mdView on GitHub

Overview

People Analytics analyzes workforce data to surface trends, risks, and opportunities. It covers retention and attrition, diversity, engagement, and productivity to reveal where to focus improvement efforts. This helps HR teams translate data into actionable actions. Triggers include attrition rate, turnover analysis, diversity metrics, engagement data, and retention risk.

How This Skill Works

Start by clarifying the question, then gather the right data (upload, paste, or pull from HRIS). The tool applies appropriate statistical methods and presents the findings with context and caveats, followed by concrete recommendations.

When to Use It

  • When you need attrition rate or turnover analysis to identify at-risk groups
  • When you want diversity metrics and pay equity insights across levels, teams, and functions
  • When you want engagement data or eNPS trends to guide culture initiatives
  • When you need productivity metrics such as revenue per employee or time to productivity for new hires
  • When you want to understand workforce trends from HR data to inform people strategy

Quick Start

  1. Step 1: Clarify the question you want to answer
  2. Step 2: Identify data sources (upload, paste, or HRIS)
  3. Step 3: Run the analysis, interpret results with context, and recommend actions

Best Practices

  • Define the precise question at the outset
  • Identify the right data sources (upload, paste, or HRIS) before analysis
  • Use appropriate statistical methods for each metric (attrition, diversity, engagement, productivity)
  • Present findings with clear context, caveats, and potential biases
  • Offer specific, data-backed actions to address identified risks or opportunities

Example Use Cases

  • Identify departments with high flight risk and tailor retention interventions
  • Analyze representation by level and function to guide promotion and hiring pipelines
  • Track eNPS and engagement trends to measure the impact of a new engagement program
  • Benchmark time-to-productivity across teams to optimize onboarding
  • Conduct pay equity analysis across demographics and roles to ensure fairness

Frequently Asked Questions

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