The case for simulations

September 29, 2026
Capability Building Learning Transfer Experiential Learning

Picture a shift supervisor on a busy Saturday. A delivery is late, two people have called in sick, and a team member suggests skipping a safety check to get the truck unloaded faster. The supervisor has sat through the safety training. They can recite the policy. What they have never done is hold that line while the clock is running and the team is watching.

That moment is where training either pays off or quietly fails. Most workplace learning prepares people to know the right answer. Far less of it prepares them to act on it when the answer is inconvenient, the information is incomplete, and several things need attention at once. Simulation exists to close that gap.

Other professions stopped trusting the classroom alone

Aviation made this decision a long time ago. Pilots spend serious time in flight simulators, not because the theory of engine failure is hard to explain, but because the response has to be practiced until it holds under stress. Medicine followed a similar path, with simulated patients and rehearsed emergencies so that a team's first attempt at a rare crisis is not on a real person.

The logic in both fields is the same. When mistakes are expensive and the right action depends on reading a situation quickly, you want people to have done it before it counts. Knowing the procedure is necessary. It is not sufficient.

Leadership and operational decisions rarely carry the life-or-death stakes of a cockpit. But they share the structure: incomplete information, competing priorities, pressure, and consequences that land on other people. That structure is exactly what a lecture or a slide deck cannot reproduce.

Why knowing does not become doing

There are a few well-understood reasons that classroom content struggles to show up on the job.

  • Forgetting is fast. The forgetting curve describes how quickly unused information fades. A framework taught in March and first needed in September has usually faded well before then.
  • Recognition is the hard part. On the job, nobody announces that this is a coaching moment or a prioritization problem. People have to notice it first. Classroom training hands them the label in advance.
  • Judgment needs reps. The research on deliberate practice points to repeated attempts with feedback as the way skill develops. A workshop gives people one pass at the idea, often without any feedback on how they would actually apply it.
  • Most learning happens at work anyway. The 70-20-10 model is a rough rule of thumb, not a law, but it reflects something most leaders recognize: the bulk of development comes from experience. The problem is that real experience is slow, uneven and sometimes costly.

Simulation sits in the space between the classroom and the job. It gives people experience, compressed and deliberately designed, without asking the business to absorb the cost of every lesson.

What a good simulation actually gives people

A well-built simulation does a few things at once. It presents a situation that looks and feels like the job. It asks for a decision, often before the participant feels ready to make one. And it shows what that decision did, including the effects nobody was watching for.

Imagine a first-time manager who has to tell a long-serving team member that their work has slipped. In a workshop, they would discuss the feedback model and maybe role-play with a peer who is being polite. In a simulation, they choose how to handle the conversation, and a few rounds later they see what happened to that person's engagement, their output, and the rest of the team's trust. The lesson is not a slide. It is something they caused.

That sense of cause and effect is the core of it. People remember what they did and what it led to far more reliably than what they were told. When a participant later faces a similar moment at work, they are drawing on something closer to a memory than a note.

There is also a social benefit that often gets overlooked. When a group works through the same simulation, they build a shared language for the decisions it covered. Afterward, a manager can say "this is the confidence problem from the sim" and their peers know exactly what they mean.

Where simulation fits, and where it does not

Simulation is not the answer to every learning need. If the goal is compliance awareness or product knowledge, other formats are faster and cheaper. Simulation earns its place when the capability you need is judgment: weighing trade-offs, reading people, prioritizing under pressure, and living with the consequences of a choice.

It also works best as part of a sequence rather than a one-off. The strongest programs pair a simulation with some grounding content beforehand, a structured debrief immediately after, and a way for people to apply what they learned back on the job in the following weeks. On its own, even a great simulation is a single event.

For our part, we build live, facilitated simulations around exactly these kinds of decisions. Retail Revival, for example, has teams run a multi-unit retail district for a full season, where coaching choices and tactics show up in morale, KPIs and profit over time. The principle behind it applies whatever tool you use.

What to do next

If you are considering simulation for a leadership or operations program, start with these steps.

  1. Name the decisions, not the topics. List the three to five judgment calls your people get wrong most often. "Delegation" is a topic. "Deciding which of ten stores gets your time this week" is a decision.
  2. Check whether current training rehearses those decisions. If people only discuss them, you have found the gap.
  3. Look for consequences in the design. Any simulation you evaluate should show the downstream effects of choices, not just score right and wrong answers.
  4. Plan the debrief and the follow-through. Decide in advance how you will connect the simulation to real work in the weeks after it.
  5. Start with one cohort. Run a pilot, listen to what participants say they did differently afterward, and build from there.

The case for simulation is simple. People get better at decisions by making them. The question is whether their first attempts happen somewhere safe or somewhere that counts.

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