The complete guide
Everything about the Data Interpretation 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 Data Interpretation Test?
The Data Interpretation Test is built for any role that works from numbers. Table questions cover totals, averages, rates per person and which figure is highest once you account for size. Chart questions describe bar, line, pie, scatter and cumulative charts in words, including charts with a cut-off axis or two axes. Percentage questions cover percentage versus percentage-point changes, reversing a change, compound growth and stacked discounts. Conclusion questions cover what a chart can and cannot show, sampling bias, outliers, baselines and Simpson's paradox. Charts are described in text, so the test works on any screen.
What the Data Interpretation Test does not measure
It does not measure skill with a spreadsheet, SQL or BI tool, or knowledge of statistics beyond the basics. Add a tool-specific skills test if the role needs one.
How does the Data Interpretation Test work?
The Data Interpretation 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 tables, charts, percentages and change and drawing conclusions, 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 Data Interpretation Test important to employers?
Misreading data leads to confident, wrong decisions. A manager who reads a 2-point gap on a cut axis as a doubling, or treats a link as a cause, can move budgets in the wrong direction. This test shows who reads data carefully and who knows the limits of what the numbers say.
