Analytical Aptitude and Data-Driven HR
4
Analytics Levels
Descriptive diagnostic predictive prescriptive
1
Critical Rule
Correlation does NOT equal causation
2026
BASK Update
Expanded significantly from Critical Evaluation
Four Levels of HR Analytics
each level builds on the one before itDescriptive
What happened?
Turnover was 18% last quarter
Diagnostic
Why did it happen?
Exit interviews revealed compensation gaps
Predictive
What will happen?
Flight risk model flags 30 employees likely to leave
Prescriptive
What should we do?
Targeted retention bonuses for high-risk, high-performers
Correlation vs Causation
Correlation does NOT equal causation. The answer is almost always 'more investigation needed'
Correlation
Two variables move together. Could be coincidence, could be a shared cause, could be one influencing the other. Not enough information to conclude.
Causation
One variable directly produces a change in another. Requires controlled experiments or rigorous statistical methods to establish. The gold standard in evidence-based HR.
Data Advocacy and Presentation
Gathering data is only half the job. The 2026 BASK emphasizes translating HR analytics into business language that leadership can act on. A chart without context is just a picture.
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Practice questions on analytics levels, correlation vs causation, and data interpretation
Practice NowExam Traps
Correlation Does NOT Equal Causation
This is the single most tested concept in this domain. Two things happening at the same time does not mean one caused the other. The correct answer on the exam is almost always "investigate further" rather than drawing a causal conclusion.
2026 BASK Expanded This Significantly
What was formerly called Critical Evaluation has been renamed and broadened. Expect more questions about interpreting HR data, building dashboards, and presenting data-driven recommendations to leadership.
Presenting Data Matters as Much as Gathering It
The 2026 version emphasizes data advocacy. You need to know how to translate HR metrics into language executives care about. Showing a chart is not enough. You must connect data to business outcomes.
Not Causation
Two variables moving together is a clue, not proof. Never conclude cause from correlation alone.
Advocate With Data
The exam now tests whether you can present findings to leadership, not just calculate metrics.
You notice that every time ice cream sales go up, drowning incidents also go up. That is a clue. Two things happening together. It would be foolish to ban ice cream to prevent drowning.
A good detective digs deeper. Both ice cream sales and swimming increase in summer. The hidden variable is temperature. Without investigation, you blame the wrong suspect.
Only a controlled experiment can prove causation. Change one variable, hold everything else constant, and observe the result. In HR, this means A/B testing a policy change, not just noticing two trends.
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