HR Analytics 4 — Questions and Answers
Question 1: An HR team finds that two departments have identical voluntary turnover rates but very different involuntary turnover rates. What should they investigate?
- Benefits satisfaction in each department
- Performance management and termination practices (Correct answer)
- Compensation equity across departments
- Recruitment source effectiveness
Correct answer: Performance management and termination practices
Involuntary turnover differences across departments often signal inconsistent performance management, documentation practices, or manager behavior.
Question 2: Which visualization type is MOST effective for showing the distribution of employee performance ratings across a workforce?
- Line chart
- Stacked bar chart
- Histogram or bell curve (Correct answer)
- Scatter plot
Correct answer: Histogram or bell curve
A histogram or bell curve displays the frequency distribution of a continuous variable like performance ratings across a population.
Question 3: What is the primary risk of using 'big data' in HR analytics without proper governance?
- Slower report generation
- Privacy violations and biased decision-making (Correct answer)
- Reduced employee satisfaction with self-service tools
- Increased IT infrastructure costs
Correct answer: Privacy violations and biased decision-making
Without governance, large HR datasets can expose private employee information and embed historical biases into algorithmic decisions.
Question 4: A company's absenteeism rate suddenly spikes in one business unit for three consecutive months. What analytical step should be taken first?
- Launch an employee survey company-wide
- Segment the data by manager, shift, and role to identify patterns (Correct answer)
- Update the attendance policy immediately
- Compare the unit's pay rates to market data
Correct answer: Segment the data by manager, shift, and role to identify patterns
Segmenting the data narrows down the root cause by revealing whether the spike is concentrated among specific managers, roles, or schedules.
Question 5: In HR software analytics, what does 'time to productivity' measure?
- How long it takes to fill an open position
- The period from hire date until a new employee reaches full performance (Correct answer)
- Average training completion time
- Duration of the performance improvement plan process
Correct answer: The period from hire date until a new employee reaches full performance
Time to productivity tracks how quickly a new hire reaches the performance standard expected for their role, reflecting onboarding effectiveness.
Question 6: Which of the following is MOST important when building a predictive attrition model?
- Using the largest possible dataset regardless of data quality
- Including only compensation data
- Using clean, relevant, and ethically sourced employee data (Correct answer)
- Prioritizing accuracy over interpretability for all stakeholders
Correct answer: Using clean, relevant, and ethically sourced employee data
Predictive models are only as reliable as the data underlying them; clean, relevant, and ethically sourced data prevents biased or misleading predictions.
Question 7: What does it mean when an HR metric has a high 'false positive rate' in a predictive model?
- The model misses many employees who will actually leave
- The model incorrectly flags employees as flight risks when they will stay (Correct answer)
- The model's overall accuracy exceeds 95%
- The model performs better on historical data than current data
Correct answer: The model incorrectly flags employees as flight risks when they will stay
A high false positive rate means the model predicts many employees will leave who actually stay, wasting retention intervention resources.
HR Analytics 4
An HR team finds that two departments have identical voluntary turnover rates but very different involuntary turnover rates.
What should they investigate?