TOC Data Analytics & Visualization 3 — Questions and Answers
Question 1: When conducting a workforce analysis, a consultant finds that sales performance correlates with a specific PI profile. The correlation coefficient is r = 0.42. How should this finding be interpreted?
- The profile explains 42% of variance in sales performance
- There is a moderate positive relationship between the profile and sales performance (Correct answer)
- The profile causes higher sales performance
- The relationship is too weak to be actionable
Correct answer: There is a moderate positive relationship between the profile and sales performance
An r of 0.42 indicates a moderate positive correlation — a meaningful but imperfect relationship between the behavioral profile and sales outcomes.
Question 2: A talent optimization consultant is asked to identify 'flight risk' employees. Which combination of data sources would produce the most accurate predictive model?
- Performance reviews only
- Engagement survey scores only
- Compensation data combined with tenure and engagement scores (Correct answer)
- Manager ratings combined with job title
Correct answer: Compensation data combined with tenure and engagement scores
Combining compensation competitiveness, tenure patterns, and engagement scores provides multi-dimensional predictors that improve attrition model accuracy.
Question 3: Which data visualization technique is best for showing the distribution of employee performance ratings across a large workforce?
- Gantt chart
- Histogram (Correct answer)
- Radar chart
- Treemap
Correct answer: Histogram
A histogram displays the frequency distribution of a continuous variable like performance ratings, revealing skewness, gaps, and central tendencies.
Question 4: A company uses a 9-box grid for talent reviews. What two dimensions does this framework typically plot employees against?
- Compensation and tenure
- Performance and potential (Correct answer)
- Engagement and skill level
- Cultural fit and experience
Correct answer: Performance and potential
The 9-box grid plots employees on axes of current performance and future potential, helping identify high potentials, core contributors, and underperformers.
Question 5: What is the primary risk of using a single metric (e.g., eNPS) as the sole measure of organizational health?
- eNPS is not a statistically valid measure
- It oversimplifies complex dynamics and misses leading indicators of talent problems (Correct answer)
- Single metrics are always more accurate than composite scores
- It requires too large a sample size to be practical
Correct answer: It oversimplifies complex dynamics and misses leading indicators of talent problems
Relying on a single metric oversimplifies organizational health and can mask underlying issues that composite or multi-dimensional frameworks would reveal.
Question 6: In the context of people analytics, what does 'data normalization' accomplish?
- It removes all outliers from the dataset
- It converts different-scale variables to a common scale for fair comparison (Correct answer)
- It ensures data is stored in a relational database
- It encrypts personally identifiable employee information
Correct answer: It converts different-scale variables to a common scale for fair comparison
Normalization rescales variables to a common range (e.g., 0–1), enabling fair comparison and combination of metrics measured on different scales.
Question 7: A scatter plot of manager effectiveness scores vs. team engagement scores shows a strong upward trend with most points close to the trendline. What does this visual suggest?
- Manager effectiveness causes team engagement
- There is a strong positive correlation between manager effectiveness and team engagement (Correct answer)
- The data has been incorrectly collected
- Team engagement is unrelated to manager behavior
Correct answer: There is a strong positive correlation between manager effectiveness and team engagement
A tight upward-trending scatter plot indicates a strong positive correlation, though correlation alone does not establish causation.
TOC Data Analytics & Visualization 3
When conducting a workforce analysis, a consultant finds that sales performance correlates with a specific PI profile.
The correlation coefficient is r = 0.42.
How should this finding be interpreted?