Practice Retention Analytics (4.3) - HR Analytics & Data-Driven Decision Making

Practice: Retention Analytics

Lesson 4.3HR Analytics & Data-Driven Decision Making

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8 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is retention analytics?
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Think about how data can help predict turnover.
Question 2.
Name one predictive model used in retention analytics.
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What types of analysis can show future trends?
3Question 3.
What is the primary purpose of retention analytics?
- To predict employee performance
- To understand and improve employee retention
- To analyze financial data
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Focus on the goal of retention analytics.
4Question 4.
True or False: A predictive model can help forecast which employees are likely to leave.
- True
- False
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Remember the function of predictive models.
Question 5.
Design a comprehensive turnover analysis plan for a company looking to reduce attrition by 20%. Include what data should be collected, how you will analyze it, and what interventions you propose based on your findings.
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Consider multiple dimensions of employee experiences.
Question 6.
Analyze a scenario where a company experiences a sudden spike in turnover rates. What steps would you recommend to diagnose the problem and implement solutions using analytics?
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Look into the root causes that can lead to increased attrition.

4 more questions in this section. Enroll free to practise them all.