Why Averages Hide Problems in People Data

Averages are everywhere in people data.

• Average engagement scores.

• Average wellbeing.

• Average satisfaction.

They look helpful. They feel objective. But when it comes to understanding how people actually feel at work, averages often hide the very problems leaders need to see.

Averages smooth things out, including warning signs

An average is designed to simplify. It takes lots of different experiences and turns them into one number. The problem is, people don’t experience work “on average”.

When sentiment shifts in one part of the organisation, an average often absorbs it rather than highlights it. A small but serious issue can disappear inside a stable-looking number.

Why this creates false reassurance

Leadership teams often look at an average score and think:

“Things look broadly fine.”

“Nothing urgent is happening.”

“Let’s keep an eye on it.”

Meanwhile:

• One team is struggling

• A manager is under pressure

• Frustration is building quietly

The average doesn’t lie, but it doesn’t tell the whole story either. This is why organisations are sometimes surprised by problems that, in hindsight, were visible for months.

Extremes matter more than the middle

In people data, the most important signals often sit at the edges:

• Teams under sustained pressure

• Groups whose sentiment is dropping quickly

• Pockets of disengagement that don’t show up overall

Averages pull attention toward the middle and away from these edges. As a result, leadership conversations focus on stability instead of movement. This dynamic is explored further in The Danger of Averages in People Data.

Averages make discussion easier, and action harder

Averages are comfortable. They reduce complexity and avoid uncomfortable questions. But they also:

• Delay difficult conversations

• Encourage “wait and see”

• Make responsibility less clear

When the average looks acceptable, it’s harder to justify early action, even when something doesn’t feel right.

What leaders actually need to see

Leaders don’t need more numbers. They need visibility into:

• Where sentiment is changing

• How fast it’s moving

• Which areas need attention first

That requires looking beyond averages and paying attention to variation and movement, not just the headline score.

The takeaway

Averages aren’t wrong. They’re just blunt. When organisations rely on them too heavily, early warning signs get smoothed away, and problems surface only once they’ve grown harder and more expensive to deal with.