Comfortable averages, poor decisions.
Your workplace climate is 78.
Your average performance is 81.
Everything seems under control.
And yet… something doesn’t add up.
The average is the queen of HR dashboards. Compact. Elegant. Easy to explain to the committee. The problem isn’t the average. The problem is leaving it alone.
Today an uncomfortable idea: the average without dispersion is a statistical illusion.
The 81 mirage
Imagine two teams.
Team A
80, 82, 79, 81, 83
Average: 81
Team B
50, 65, 80, 95, 115
Average: 81
Same average. Radically different realities.
In A you have consistency.
In B you have polarization.
The average tells you where the center is.
The standard deviation tells you how far people deviate from that center.
And in talent, distance matters more than the average.
Standard deviation (no math trauma)
Key question:
How much do the scores vary from the average?
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Low deviation (3–5 points) ? Homogeneous organization.
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High deviation (15–25 points) ? Real gaps between people or teams.
Because you don’t manage averages. You manage human variability.
Scenario A
Average: 82
Deviation: 4
Almost everyone is between 78 and 86.
Scenario B
Average: 82
Deviation: 18
Here you have people at 60 and people at 100.
Same average. Opposite strategic impact.
Questions that only appear when you look at dispersion:
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Are we differentiating real performance?
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Is there untapped talent?
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Is there evaluation inflation?
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Do our managers use the scale consistently?
A deviation that is too low can be collective excellence.
Or fear of scoring low.
Without dispersion, you don’t know which.
Item: “I trust my manager”
Average: 75
If the deviation is 6 ? fairly homogeneous experience.
If the deviation is 22 ? you have teams at 95 and others at 50.
The average smooths conflict.
High dispersion often predicts turnover before the average does.
Case 3: Culture and engagement
Average engagement: 80.
Deviation 5 ? aligned culture.
Deviation 20 ? internal subcultures.
In the second case you have a culture with multiple coexisting realities.
And that changes strategy.
The most common HR mistake
Confusing a high average with a healthy organization.
An average of 85 can hide:
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Leniency bias.
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Managers who don’t differentiate.
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Poorly designed scales.
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Internal inequity.
The average reassures.
Deviation reveals.
Average = level.
Deviation = consistency.
And consistency is a silent competitive advantage.
The chosen scale matters 0–5 or 0–100?
Here comes the uncomfortable part.
The scale is not a UX detail.
It’s a statistical decision.
At Hrider we allow both types, but by default the scale is 0–100.
Scale 0–5 (no decimals)
Only 6 possible values.
This causes:
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Artificial concentration at 3 and 4.
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Less observable variance.
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More clustered averages.
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Sense of stability that may be technical, not real.
This is what in statistics we call quantization: reducing reality to few levels and losing nuance.
Scale 0–100
101 possible values.
Do people use all 101? No.
But they use many more than 6.
Advantages:
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Higher resolution.
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Better differentiation.
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More informative deviation.
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No need for decimals.
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More cognitively natural (we’re trained in percentages).
If with 0–100 the average is concentrated, it’s more likely real consistency.
If with 0–5 it’s concentrated, it could be a scale effect.
More categories ? higher observable variance ? more analytical intelligence.