Modules/AI for HR Analytics & Reporting/Turnover Analysis & Predictive Retention

Lesson 2 of 3•AI for HR Analytics & Reporting0 of 3 complete (0%)

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Turnover Analysis & Predictive Retention

What you'll learn

1Segment turnover data to reveal actionable patterns beyond the headline rate
2Design AI-assisted retention risk models that respect employee privacy
3Build intervention strategies triggered by leading indicators

Beyond the Headline Turnover Number

"Our attrition is 18%" tells leadership almost nothing. Is it 18% across the board, or is it 5% in finance and 35% in engineering? Is it concentrated in the first 12 months or after 3 years? Are high performers leaving or low performers? Each pattern demands a completely different response.

Segmentation Analysis with AI

Here is our turnover data for the past 24 months: [paste data]
Fields: department, role level, tenure at departure, performance rating,
manager, location, voluntary/involuntary, exit reason (coded)

Analyze turnover patterns across these dimensions:
1. By department and role level — where are the hotspots?
2. By tenure band (0-6mo, 6-12mo, 1-2yr, 2-3yr, 3-5yr, 5yr+)
3. By performance tier (top 20%, middle 60%, bottom 20%)
4. By manager (are certain managers losing more people?)
5. By exit reason — what are the top 3 themes?

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What you'll learn:

Segment turnover data to reveal actionable patterns beyond the headline rate
Design AI-assisted retention risk models that respect employee privacy
Build intervention strategies triggered by leading indicators

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Segmentation Analysis with AI

Here is our turnover data for the past 24 months: [paste data] Fields: department, role level, tenure at departure, performance rating, manager, location, voluntary/involuntary, exit reason (coded) Analyze turnover patterns across these dimensions: 1. By department and role level — where are the hotspots? 2. By tenure band (0-6mo, 6-12mo, 1-2yr, 2-3yr, 3-5yr, 5yr+) 3. By performance tier (top 20%, middle 60%, bottom 20%) 4. By manager (are certain managers losing more people?) 5. By exit reason — what are the top 3 themes?