DEI DEI Data Analytics and Metrics 1 — Questions and Answers
Question 1: Which metric is most commonly used to measure representation gaps in DEI workforce analytics?
- Attrition rate
- Representation index (Correct answer)
- Revenue per employee
- Training completion rate
Correct answer: Representation index
A representation index compares the proportion of a demographic group in the workforce to their proportion in the relevant labor market.
Question 2: What is 'pay equity analysis' designed to identify in an organization?
- Overall compensation budget variances
- Unexplained pay differences across demographic groups (Correct answer)
- Top earner bonus structures
- Benefits utilization rates
Correct answer: Unexplained pay differences across demographic groups
Pay equity analysis isolates unexplained wage gaps by controlling for legitimate factors like role, tenure, and performance to reveal potential discrimination.
Question 3: Which type of DEI data is collected through employee surveys about their sense of belonging and inclusion?
- Quantitative headcount data
- Qualitative sentiment data (Correct answer)
- Financial performance data
- Compliance audit data
Correct answer: Qualitative sentiment data
Employee surveys capturing feelings of belonging and inclusion yield qualitative sentiment data that complements quantitative representation statistics.
Question 4: What does a 'pipeline metric' track in DEI reporting?
- IT infrastructure capacity
- Demographic representation at each career stage or level (Correct answer)
- Customer diversity profiles
- Vendor diversity certifications
Correct answer: Demographic representation at each career stage or level
Pipeline metrics show the demographic composition at each organizational level to identify where underrepresented groups drop off in career advancement.
Question 5: Which dashboard indicator would best signal an inclusion problem despite strong representation numbers?
- High headcount growth
- Low belonging scores among underrepresented groups (Correct answer)
- Increased training enrollment
- Diverse candidate slates
Correct answer: Low belonging scores among underrepresented groups
Low belonging scores among underrepresented employees indicate an inclusion gap even when headcount diversity appears adequate.
Question 6: What is the primary purpose of an intersectional DEI data analysis?
- To reduce data storage costs
- To examine how overlapping identities compound disparities (Correct answer)
- To simplify reporting to a single metric
- To eliminate demographic categorization
Correct answer: To examine how overlapping identities compound disparities
Intersectional analysis examines how combinations of identities (e.g., race and gender) create unique and often compounded disadvantages not visible in single-dimension data.
DEI DEI Data Analytics and Metrics 1
Which metric is most commonly used to measure representation gaps in DEI workforce analytics?