The complete guide
Everything about the Analytical Ability Test
Pair this test with the rest of the first round: springhire's candidate screening software adds a one-way video interview and resume scoring to the same candidate link, ranked in one report.
What is the Analytical Ability Test?
The Analytical Ability Test is built for roles where people spend their day making sense of information: analysts, coordinators, planners, account and operations staff. Each question is a small work problem. A candidate might compare two regions' growth rates, spot that a satisfaction rate fell while the number of satisfied customers rose, decide which further fact would show whether a new manager caused a drop in output, or notice that an average is being pulled up by a few large values. The questions reward careful reading over speed tricks, so the score reflects the reasoning a candidate will bring to reports, dashboards and decisions at work.
What the Analytical Ability Test does not measure
It does not measure knowledge of a specific tool such as Excel or SQL, or domain expertise. Add a skills test for the tools the role uses, and ask the candidate to talk through a past analysis in a recorded interview.
How does the Analytical Ability Test work?
The Analytical Ability Test is an auto-scored multiple-choice test. Each candidate answers 20 questions drawn at random from a bank of 60, so two candidates rarely see the same set, and most finish in 8 to 12 minutes. The questions are spread evenly across data interpretation, problem analysis, quantitative reasoning and evaluating information, with a mix of easy, medium and hard items, and the report shows a score for each area as well as an overall score.
Why is the Analytical Ability Test important to employers?
Analytical mistakes are expensive because they look like good work. A report that confuses a rate with a count, or reads a link between two numbers as cause and effect, can send a team in the wrong direction for months. This test shows, before you hire, who checks the base of a percentage, who asks what else could explain a result, and who jumps to the first conclusion.
