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How to interpret assessment results

Learn how to interpret assessment results using percentile scores, distributions, and raw scores.

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This guide explains how to understand and use assessment results effectively, with a focus on percentile scoring and how it compares to raw scores.

What is a Percentile Score?

A percentile score shows how a candidate performed compared to others who took the same test.

Example: If a candidate is in the 74th percentile, they scored higher than 74% of candidates in the comparison group.

This makes percentiles especially useful for understanding relative performance at a glance.

Overall Score (Percentile)

The overall score is the most reliable indicator of a candidate’s likelihood to succeed in a role.

  • It combines results from all tests in an assessment

  • It considers how different skills relate to each other

  • It provides a holistic view of a candidate’s abilities

Think of the overall percentile as the best single summary of performance across the entire assessment.

Understanding Percentile Distribution

To make interpretation easier, percentile scores are grouped into categories:

  • 1st–19th percentile (Well below average): Performed much lower than most candidates

  • 20th–39th percentile (Below average): Performed lower than most candidates

  • 40th–59th percentile (Average): Performed similarly to most candidates

  • 60th–79th percentile (Above average): Performed better than most candidates

  • 80th–99th percentile (Well above average): Among the top performers

⚠️ Important: These categories are only guidelines. Always evaluate scores in the context of the role’s requirements.

Highest Score in Your Assessment

This refers to the top score achieved among candidates who completed your specific assessment.

  • It highlights the strongest performer in your candidate pool

  • It is useful for benchmarking within a specific hiring round

  • It does not reflect performance against the broader global comparison group

Why Use Percentiles?

Percentiles help you:

  • Quickly identify standout candidates

  • Compare performance against a large, relevant benchmark group

  • Make more informed, objective hiring decisions

Because percentiles are based on thousands of test-takers, they provide strong context for interpreting results.

How Percentile Scores Are Calculated

  1. A candidate’s test score is calculated based on correct answers

  2. That score is compared to a large pool of candidates (typically 1,000–10,000+)

  3. The system determines what percentage of candidates they scored higher than

Example:
A candidate in the 90th percentile performed better than 90% of test-takers.

Are Percentiles Updated?

Yes. Percentile rankings are dynamic and continuously updated as more candidates take the test.

This ensures scores always reflect the most current performance benchmarks.

What is a Raw Score?

A raw score shows the percentage of correct answers.

Example: A score of 74% means the candidate answered 74% of questions correctly.

Percentile vs. Raw Score

Raw scores alone can be misleading because they don’t account for test difficulty or comparison to others.

Example:

  • A candidate scores 56% (raw score)

  • This may seem low at first glance

However:

  • That same performance could place them in the 76th percentile

  • Meaning they performed better than 76% of candidates

👉 This indicates strong performance, despite the lower raw score.

Key Takeaways

  • Use percentiles as your primary benchmark for comparing candidates

  • Rely on the overall percentile score for the most complete view of performance

  • Interpret results in context of the role requirements

  • Avoid relying solely on raw scores, as they lack comparative insight

By understanding how to interpret these metrics, you can make more confident, data-driven hiring decisions.

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