How to assess · For hiring teams
How to Assess People Analytics Skills When Hiring
The test formats that actually work for People Analytics, what a strong answer looks like, sample questions and a scoring rubric you can use as-is.
The short answer
Assess People Analytics with a task, not a conversation: attrition analysis case, metric definition, ai-scored assessment (e.g. cohesyve) or ethics scenario. Score it against written criteria you fix before you see any submissions, and weight the criteria that the role actually depends on.
- Starts from the decision: what would leaders do differently with this analysis?
- Analyses attrition, engagement and performance data with attention to sample size, confounders and survivorship
- Is careful with causal claims and proposes ways to test them
- Handles sensitive data with privacy, anonymisation and ethics in mind
Paste a job description; Cohesyve generates a role-specific assessment and rubric. Ten candidates free, no card.
People analytics is the application of data to workforce decisions, and it fails in the same ways marketing and product analytics fail, with higher stakes: small samples read as trends, correlation presented as cause, and dashboards that describe without informing a decision. The skill is choosing questions that matter, analysing with statistical humility, handling sensitive data responsibly, and communicating in a way that changes what leaders do. This page covers how to assess people analytics for people analyst, HR data and workforce planning roles.
Why People Analytics is worth testing
Weak people analytics produces confident recommendations about attrition, engagement and performance that do not survive scrutiny, and can cause real harm when acted on. Testing with a workforce dataset shows whether a candidate reasons carefully, handles small samples and confounders, protects sensitive data, and communicates honestly, and that determines whether the function is trusted.
What strong People Analytics looks like
- Starts from the decision: what would leaders do differently with this analysis?
- Analyses attrition, engagement and performance data with attention to sample size, confounders and survivorship
- Is careful with causal claims and proposes ways to test them
- Handles sensitive data with privacy, anonymisation and ethics in mind
- Builds metrics that mean something — regretted attrition, time to productivity — not vanity headcounts
- Communicates with uncertainty and a recommendation
- Works with HR partners so analysis leads to action
Ways to assess People Analytics
Attrition analysis case
Provide an anonymised workforce dataset with attrition concentrated in one segment for a reason confounded with tenure, and a small sample elsewhere that looks alarming. Ask for the analysis, what can be concluded, and a recommendation. Sixty minutes.
Pros
Cons
Best for Any level.
Metric definition
Ask them to define regretted attrition or time to productivity so two analysts would compute the same number.
Pros
Cons
Best for Any level.
AI-scored assessment (e.g. Cohesyve)
Generate a people analytics task from the job description — an attrition analysis, a metric definition, a privacy-judgement scenario — with a rubric. Each candidate receives a different variant; the work and the reasoning behind it are scored together.
Pros
Cons
Best for Screening an applicant pool fairly before interview time is spent.
Ethics scenario
Present a request to identify individuals from an anonymous survey and ask how they respond.
Pros
Cons
Best for Any level.
Cohesyve
Run a People Analytics assessment on your next opening
Cohesyve generates a unique People Analytics task per candidate from your job description, with the scoring rubric attached. Questions are different for every applicant, so they cannot be shared or looked up.
What to test
Decision focus
Whether analysis informs action.
Analytical judgement
Whether conclusions are sound.
Data ethics
Whether sensitive data is protected.
Communication
Whether leaders act.
Sample People Analytics questions
Attrition in a team of eight doubled this year. Is that a crisis?
EntryLook for Small numbers; two versus four people; understand the cases before concluding anything statistical.
Engaged employees perform better. Should we invest in engagement to improve performance?
EntryLook for Correlation; reverse causation plausible; propose a test before spending.
A leader asks who gave negative answers on an anonymous survey. What do you do?
MidLook for Refuse, explain why, offer aggregate insight; the survey's value depends on the promise.
Define regretted attrition precisely.
MidLook for Voluntary, of people the organisation wanted to keep, with a defined rating or manager flag, over a period; consistent.
The headcount dashboard is used by nobody. Fix it.
SeniorLook for Start from decisions leaders make, few metrics with trends and context, remove the rest.
Red flags
- Reads small samples as trends
- Correlation as cause
- Would de-anonymise on request
- Vanity metrics
- Findings without recommendations
Scoring rubric
| Criterion | Weight | What strong looks like |
|---|---|---|
| Decision focus | 20% | Analysis serves action. |
| Analytical judgement | 35% | Samples, confounders and causation handled honestly. |
| Ethics | 20% | Sensitive data protected by principle. |
| Communication | 25% | Uncertainty and recommendation together. |
Mistakes hiring teams make
- Testing tool proficiency
- Not planting a small-sample trap
- Skipping the ethics scenario
- Accepting dashboards as analysis
- Assuming HR experience includes analytical skill
Roles that need People Analytics
Common questions
What is the best single people analytics question?
Ask whether doubled attrition in a team of eight is a crisis. Statistical humility shows immediately.
How long should a people analytics assessment take?
Sixty minutes for an analysis case; fifteen for an ethics scenario.
How do I create a safe test dataset?
Synthesise it. Real workforce data should not be used for candidate exercises even anonymised.
Should HR business partners be assessed on analytics?
A light version: reading a dashboard critically and asking the right questions of an analyst.
Cohesyve · Skill assessments for hiring
Test People Analytics before the first interview
Generate a role-specific People Analytics assessment from your job description and see who can do the work before you spend interview time on them.
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