Leaders don’t choose simple metrics because they’re careless. They choose them because, under pressure, simple is usable.
This is often misunderstood as a lack of sophistication. In reality, it’s a response to how decisions actually get made.
Most leadership decisions aren’t made in quiet rooms with time to analyse data. They’re made:
In meetings with limited time
With incomplete information
While balancing competing priorities
Under pressure to move forward
In those moments, leaders gravitate toward metrics they can:
Explain quickly
Share easily
Use to align others
Accuracy matters, but explainability matters more.
Highly accurate metrics often come with:
Caveats
Definitions
Exceptions
Context that needs explaining
This creates friction. Instead of asking:
“What should we do?”
Leadership teams end up asking:
“What does this actually mean?”
“Which part should we focus on?”
“Do we trust this result?”
The more explanation a metric needs, the harder it is to act on, especially in a group.
Simple metrics work because they:
Reduce interpretation
Create a common reference point
Make conversations faster and calmer
They don’t remove complexity from the organisation. They remove complexity from the conversation. That’s why leaders often prefer a clear, imperfect signal over a precise one that sparks debate. This behaviour is explored further in Why More Employee Data Doesn’t Create More Clarity.
Leaders don’t need metrics to be perfect. They need them to be:
Stable
Understandable
Consistent over time
When a metric behaves predictably, leaders learn how to read it, and when to pay attention. When it jumps around or requires constant explanation, trust erodes quickly. This is why leaders often ignore highly accurate data that doesn’t feel reliable in practice.
Preferring simplicity isn’t a failure of leadership. It’s an acknowledgement that:
Decisions require alignment
Alignment requires shared understanding
Shared understanding requires clarity
Metrics that can’t survive real-world discussion rarely survive long enough to change behaviour.
Leaders trust simple metrics not because they dislike accuracy, but because they need signals they can actually use. A metric that can be explained, shared, and acted on will always outperform one that’s technically perfect but practically unusable.