ROLE-SPECIFIC SKILLS

Data-Driven Decision Making test for hiring

See how candidates use evidence to make business choices and communicate findings.

10 minutes
15 questions
Intermediate
Multiple choice
Questions in English
Phone and desktop

Use this test free See the question formats

The short answer

The Data-Driven Decision Making test is an intermediate check of how candidates use evidence in workplace choices. Its multiple-choice scenarios assess data quality, decisions against stated criteria, conclusions from charts and tables, and clear communication of findings. It is designed for analysts, team leads, project and program managers, and managers who report on performance.

What it measures

Judging data quality, choosing against criteria, drawing sound conclusions from charts and tables, and communicating findings clearly.

Gathering and organizing data

Checks whether a candidate can judge how information was gathered and organized before using it.

Deciding against criteria

Looks at how the candidate compares options against criteria stated in a scenario.

Analyzing data and judging decisions

Asks candidates to draw conclusions supported by charts or small tables and judge decisions.

Communicating data

Checks whether findings are presented clearly enough for others to act on them.

Question formats

Multiple choice

The candidate: Reads a short situation, table or statement and picks the right answer, or every right answer.

You see: Whether the candidate knows the material well enough to apply it, not just recognize it.

15 questions in 10 minutes, served one at a time.

Roles this test fits

Roles that turn numbers into choices: business, operations, marketing and product analysts, team leads, project and program managers, and managers who report on performance.

See evidence use in context

Business choices, not self-description
Brief workplace scenarios show how candidates weigh evidence when choosing among options, beyond what a resume can describe.
Readable across industries
Scenarios draw on stores, clinics, warehouses, schools, and support desks, without favoring one industry or requiring knowledge of a software tool.
Data quality before decisions
Questions ask whether the data behind a choice was gathered well, so you see if a candidate checks the evidence before acting on it.
Conclusions the numbers support
Charts and small tables show whether a candidate can tell a conclusion the data supports from one it does not, and present it so others can act.

What you get for each candidate

Example report (fictional data)Data-Driven Decision Making

71%Percentile 46. Benchmark: HireValid candidates, n = 1,317

Gathering and organizing data55%

Deciding against criteria84%

Analyzing data and judging decisions61%

Communicating data82%

Integrity ScoreHigh confidence

Stayed on the test tab throughout
No pasted answers
Answered at a steady pace

Scores, profiles and integrity signals are evidence for you to review alongside an interview, never an automatic decision.

Use this test free

Test integrity signals

Each candidate receives a different set of questions, presented in a different order, with shuffled answer options. The browser receives one question at a time, and answer keys stay on HireValid's servers. This is a 10-minute test with 15 questions; candidates cannot return to an earlier question. Timing runs on the server, so reloading brings back the same question with only the time left. Question text cannot be copied or selected, and a blocked copy attempt is recorded. HireValid may record signals such as time away from the test tab, pastes into answers, and answers faster than a question can be read. These signals appear in an Integrity Score and evidence timeline for the employer to review; they never decide on their own. With candidate consent, the employer can add webcam photos at random moments.

How we prevent AI cheating · Integrity signals

Use the score as evidence

Review the score as one signal, not as a decision. Pair it with a work sample where the candidate evaluates a chart or table, explains the limits of a conclusion, and recommends an action. Then use a structured interview to ask each candidate comparable follow-up questions. The pre-employment testing guide offers context for using assessments. For a separate look at data tools, see the Tableau test, Power BI test, or ETL test.

Structured interview questions

How would you decide whether information is suitable for comparing two options?
Listen for checks on how the data was gathered, organized, and whether it fits the decision.
How would you explain a chart that supports only a limited conclusion?
Listen for a clear account of what the numbers support, what they do not show, and how to communicate that limit.
How would you choose between options when the scenario gives specific criteria?
Listen for a reasoned comparison against the stated criteria and a clear explanation of the recommendation.

Understand scoring and benchmarks

Fairness and accommodations

Scenarios come from many kinds of work (stores, clinics, warehouses, schools, support desks) so no single industry is favored, and no question needs knowledge of a particular software tool. Amounts are plain numbers with the unit in the heading, with no currency symbols, and the arithmetic is light enough for scratch paper. Names come from many backgrounds, data terms are limited to everyday ones such as average, median, percentage and sample, and every chart labels its series directly so color is never needed to read it.

You can give any candidate extra time as an accommodation. Results are evidence for a person to review, never an automatic decision.

Provisional: no norms exist yet, and reliability will be reported once 200 candidates have completed the test.

Read our fairness approach

Test details

A short, timed check of how a candidate uses evidence to make business choices. Questions are brief workplace scenarios, many built around a chart or a small table, covering whether data was gathered well, how options compare against stated criteria, which conclusions the numbers support, and how to present findings so others can act on them.

Questions are in English.
Aids allowed: Scratch paper.
Each question is answered once, in order, with no going back.
4 practice questions, 3 minutes, before the timed test.

Frequently asked questions

Which roles suit the Data-Driven Decision Making test?+

It is intended for intermediate roles that turn numbers into choices, such as business, operations, marketing, and product analysts; team leads; project and program managers; and managers who report on performance. Use it to explore evidence use in those roles, not as a general measure of every job skill.

How does the Data-Driven Decision Making test account for different industries?+

Scenarios draw from stores, clinics, warehouses, schools, and support desks, so no single industry is favored. Questions do not require knowledge of a particular software tool. Names come from many backgrounds, and charts label each series directly so color is not needed to read them.

What can candidates use during the Data-Driven Decision Making test?+

Scratch paper is allowed. Amounts are plain numbers with the unit in the heading, and the arithmetic is light enough to work on paper. Data terms stay everyday ones such as average, median, percentage and sample.

What does the Data-Driven Decision Making practice set include?+

Candidates can try a practice set of 4 questions in 3 minutes before the 15-question test. It shows the scenario format, including questions built around a chart or a small table.