Percentiles
In an environment where talent management requires precision and context, percentiles allow results to be interpreted beyond the absolute score. It is not only about how much a person scores, but how they position themselves relative to others.
When we talk about percentiles, we are referring to a statistical measure that indicates the percentage of values that fall below a given score within a distribution.
Why are they key in HR?
In Human Resources, percentiles help contextualize results and make comparative decisions in a fairer and more objective way.
They are useful in:
Performance evaluations.
Talent identification and high-potential processes.
Psychometric assessments.
Compensation studies.
Climate and engagement analysis.
Internal and external benchmarking.
Let’s look at a clear example to better understand it:
Imagine an organization where the average performance score is 8 out of 10. One person scores 8.2. At first glance, the result may seem high… However:
If that 8.2 corresponds to the 55th percentile, it means they are slightly above average.
If it corresponds to the 85th percentile, it means they are part of the top 15% performers.
The strategic difference is clear.
Example in compensation
In salary studies, percentiles are essential for defining compensation policies.
25th percentile: lower market range.
50th percentile: market median.
75th percentile: competitive upper range.
If a company decides to position itself at the 75th percentile, it is choosing a compensation strategy above most of the market.
What strategic value do they provide?
Percentiles make it possible to:
- Identify high-differentiation talent.
- Avoid decisions based on perceptions.
- Establish objective promotion criteria.
- Design salary bands with real benchmarks.
- Compare teams or departments using homogeneous metrics.
- Detect internal inequalities.
They also foster more technical and less subjective conversations between managers and HR teams.
Percentile vs. percentage: what’s the difference?
It is common to confuse these two concepts:
- Percentage: proportional part of a total.
- Percentile: relative position within an ordered group.
Scoring 90% on a test is not the same as being at the 90th percentile.
- 90% is a score.
- The 90th percentile means that only 10% achieved a higher result.
In People Analytics contexts
In advanced talent analytics models, percentiles allow organizations to segment populations, set thresholds, and create scalable decision criteria.
For example:
- Top 10% for high-potential programs.
- Below the 30th percentile for specific development plans.
- Year-over-year comparisons to measure real progress.
In summary, percentiles help transform data into context. They allow us to understand not only how much is achieved, but what that score actually means within the organization or the market.