Directors of Workforce Development, Regional Operations Managers, and VPs of Safety & Training
How do you measure decision fatigue across a energy and utilities management team?
Measure the shape of decisions rather than the count. In energy and utilities organizations fatigue shows up as deferral, as drift toward the smallest reversible option, and as decisions clustering early in the day and collapsing after it. Track time-to-decision on recurring choices and the ratio of deferred to closed items, weekly, by manager.
What this looks like in energy & utilities
Field crews receive new mobile asset-inspection tooling. Adoption is strong where the crew lead uses it in front of the team and near zero where the crew lead does not, and nobody tracked crew lead behavior as the variable.
In field operations the crew lead is the entire adoption mechanism. Train the crews and skip the leads and the rollout is decided by whichever leads happened to be curious.
How you know it is happening
Routine decisions that used to take a day start taking a week.
The deferral pile grows while the closed pile stays flat.
Meaningful calls stop happening after early afternoon.
Why the obvious fixes do not hold
Resilience training. It treats a structural load problem as a personal capacity problem, which reads as blame to the people carrying the load.
Engagement surveys. Asking whether managers are overloaded mostly measures how safe they feel answering.
Hiring. More managers routing the same volume of small reversible decisions produces the same bottleneck with a bigger payroll.
What actually works
Reduce the number of decisions before trying to increase capacity. Most management overload is structural.
Push reversible decisions down. Reserve the manager for the ones that are expensive to undo.
Protect the first three hours. If the only real decision window is the morning, stop filling it with status meetings.
What to measure
Weekly, by manager: median time-to-decision on recurring choices, and deferred-to-closed ratio. Both are already in your systems.
In energy and utilities organizations the systems this usually touches are mobile inspection apps, AI predictive maintenance, outage management, safety reporting.
The part nobody names
The mechanism underneath all of this has a name. Dr. Noah St. John calls it taming the caveman in your brain, and it is not a metaphor for laziness. A 200,000-year-old survival instinct is making decisions about 2026 software. It treats an unfamiliar system as a threat, it prefers the known path, and it fires before anyone consciously chooses anything.
That is why the fix is behavioral rather than technical, and why it holds once installed. It is also why energy and utilities organizations keep buying capability and capturing none of it: the instinct that decides adoption was never addressed by the rollout plan.
Dr. Noah has spent 29 years on this specific gap, with $3 billion in documented client results across 150+ countries and 27 books in print.
Common questions
What are the signs of decision fatigue in energy and utilities managers?
Rising time-to-decision on routine choices, a growing ratio of deferred to closed items, and meaningful decisions clustering before early afternoon.
Is decision fatigue a performance problem or a workload problem?
Usually structural. When too many small reversible decisions route through one person, capacity for the few expensive decisions disappears.
Want your team’s number instead of a general answer?
Twelve questions, about three minutes. It scores your team on the four places execution actually leaks and gives you a dollar figure for what the friction costs you a year.