People Analytics

What it does

The People Analytics skill enables AI agents to analyze workforce data and identify trends, risks, and opportunities within an organization. It focuses on key areas like retention, diversity, engagement, and productivity by examining metrics such as attrition rates, survey scores, revenue per employee, and promotion rates. The skill uses statistical methods to interpret the data and provides actionable recommendations based on its findings.

When to use it

• To understand current attrition rates and identify potential flight risks within a team.
• To assess diversity representation across different levels and functions within the company.
• To track employee engagement through survey scores and open-ended feedback analysis.
• To evaluate productivity metrics like revenue per employee and time to productivity for new hires.

Key capabilities

• Calculates overall attrition rate (voluntary + involuntary) and regrettable attrition rate.
• Analyzes representation by level, team, and function regarding diversity.
• Evaluates pipeline diversity (hiring funnel).
• Performs pay equity analysis.
• Tracks survey scores, eNPS (Employee Net Promoter Score), and participation rates.
• Identifies themes within open-ended employee feedback.
• Calculates revenue per employee and span of control efficiency.

Example prompts

• "Analyze our attrition data for the last quarter and identify potential flight risks."
• "What is the representation breakdown by demographic in our hiring pipeline?"
• "Can you analyze recent employee survey results and highlight key areas for improvement regarding engagement?"

Tips & gotchas

• The skill requires access to relevant workforce data, which can be uploaded, pasted, or pulled from an HRIS (Human Resources Information System).
• It's important to clearly define the specific question you are trying to answer before using the skill.
• Findings will always be presented with context and caveats due to the nature of statistical analysis.