How to Assess Microsoft Excel Skills When Hiring

Hands-on spreadsheet assessment with real formulas (e.g. Cohesyve)

Candidate works in a live spreadsheet and actually builds the lookups, pivots, and formulas — not a multiple-choice quiz about what a function does. Tasks are generated uniquely per candidate from your job description, with the output scored automatically.

Best for Screening any role where spreadsheet output is a core daily deliverable.

Live screen-share exercise

Give the candidate a real export and 30-45 minutes to clean it, build a pivot, and answer a question while sharing their screen.

Best for Confirming hands-on speed and instinct for heavy-spreadsheet roles.

Take-home modeling task

Provide raw data and ask the candidate to build a small model or report (e.g. a budget rollup or cohort summary) with assumptions documented. Cap at 1-2 hours.

Best for Finance, FP&A, and analyst roles where model structure matters as much as the answer.

MCQ knowledge check

A short multiple-choice set on function behavior, reference types, and pivot concepts to screen out clear non-users early.

Best for High-volume early screening before a hands-on round.

Look for Cleans duplicates and format inconsistencies first, then builds a correct pivot and reads an insight from it rather than just producing the table.

Look for Diagnoses type mismatch, trailing spaces, or lookup column position; switches to XLOOKUP/INDEX-MATCH and wraps in IFERROR with intent.

Look for Correct tiered logic (nested IF/IFS or a lookup table), absolute references on the tier table, and a result that fills cleanly.

Look for Understands left-lookup limits, column-insertion fragility, and performance — not a memorized definition.

Look for Spots hardcoded numbers inside formulas, mixed inputs and calculations, and missing assumptions; proposes a cleaner, auditable structure.

Look for Builds a row-level comparison with a key, isolates unmatched or duplicated rows, and checks for rounding or filtered ranges.

Look for Uses a driver cell with CHOOSE or a lookup so a single change flows through cleanly — evidence of real model design.

Why not just use a multiple-choice Excel test?

MCQ tests measure whether someone recognizes what a function does, not whether they can build anything with it. The job is building — cleaning exports, writing lookups, structuring models. Cohesyve runs real spreadsheet assessments where candidates work in actual formulas and pivots, so you score the skill the role requires, not trivia.

How do I test Excel without an interviewer present for every candidate?

Use an async hands-on assessment. Cohesyve generates a unique spreadsheet task per candidate from your job description and scores the output automatically, so you can screen a whole applicant pool at a fraction of the cost of live screening before spending live interview time, and reserve a short screen-share only for finalists.

What level of Excel should I require?

Match it to the role. Most analyst and ops roles need confident lookups, pivots, and data cleaning. Finance and FP&A roles also need auditable model structure with separated assumptions and scenario logic. Define the must-have functions before testing, then weight your rubric toward them rather than chasing rarely-used features.

Should candidates be allowed to look things up during the test?

Yes — that mirrors the real job, where everyone Googles syntax. What you cannot fake by searching is fluency, structure, and judgment: knowing which approach to use, building it cleanly, and verifying the result. Design tasks so the answer is in the doing, not in a syntax lookup someone can copy.

How long should an Excel assessment take?

A focused hands-on screen should run 30-45 minutes; a take-home model should cap at 1-2 hours. Longer tests measure persistence more than skill and cause strong candidates to drop. If you need to see deeper modeling work, do it as a short paid exercise once someone is a serious finalist.