At 9:07 on a Tuesday, Maya Patel deleted the first six slides of her workshop.
The slides explained clear roles, timely escalation, and the familiar hazards of siloed decision-making. They were accurate. They were also unlikely to change what anyone did when a customer launch started to wobble.
Maya is a fictional learning lead at a fictional 260-person industrial-services company. Her brief was realistic: help 36 project leads, account managers, and service supervisors make better cross-functional decisions during handoffs. Her director had asked for something interactive. Maya had learned to be suspicious of that word. Interactive could mean useful practice. It could also mean a room full of adults forced to build towers from paper cups.
She replaced the presentation with a bounded challenge. Each table received a fictional client launch, three competing requests, two available specialists, an incomplete dependency list, and twelve minutes to decide what would happen next. They had to name an owner, explain what they were assuming, and identify the issue they would escalate. At the eight-minute mark, Maya added one new piece of information.
The room became noisy. The operations supervisors challenged the account managers’ promises. One group discovered that nobody had checked whether the specialist they had assigned was available. People laughed, but the laughter sat beside real disagreement. Their final output was a one-page decision record, not a score.
Maya had found the useful version of play at work. The value was not that the exercise felt pleasant. Participants had to retrieve knowledge, make a choice with imperfect information, see the consequences, and explain their reasoning to colleagues. That sequence is where adult learning gets interesting.
Play at work changes the conditions for adult learning
Start with a distinction: play is not the same as amusement.
Psychiatrist Stuart Brown, whose work on play is widely cited in psychology and education, describes play as active, voluntary, absorbing, and open to improvisation. A workplace exercise rarely meets all of those conditions. Attendance may be mandatory. The business objective is deliberate. Still, a facilitator can create choice within the activity, keep the consequences limited, and give people room to test a move without damaging a customer relationship or their reputation.
That matters because the strongest case for experiential learning in a corporate setting is not that adults enjoy it more. It is that the experience makes their thinking visible.
A short explanation can introduce a model. Practice asks a person to use it. Retrieval-practice research, including the testing-effect studies by Henry Roediger and Jeffrey Karpicke, has repeatedly shown that trying to recall information can support longer-term retention better than reviewing the same material again. The practical translation is simple: asking a team to choose a response usually gives you more information about their understanding than asking whether the explanation made sense.
Malcolm Knowles’ work on andragogy also points to the role of prior experience. Adults bring habits, assumptions, and examples from previous jobs. Those experiences can make a new idea relevant, but they can also conceal disagreement. A shared activity gives the group something concrete to inspect. Instead of debating whether people are good communicators, they can examine the moment when nobody stated who owned the decision.
David Kolb’s experiential learning cycle offers a useful design lens here: concrete experience, reflection, conceptualization, and active experimentation. It is a cycle, not evidence that employees have fixed learning styles. A good activity moves through the cycle quickly. Participants encounter a problem, examine what happened, connect it to a principle, and try again under altered conditions.
The counterintuitive part is that the most educational experience may not be the most fun one. Robert Bjork’s work on desirable difficulties suggests that a manageable struggle can strengthen learning. An activity that runs smoothly may produce satisfied participants but little insight. A constrained round that exposes a wrong assumption gives the facilitator something to work with. The difficulty must be manageable; confusion, embarrassment, and arbitrary complexity are not learning benefits.
Maya saw this in her first round. The tables were not failing because they lacked motivation. They were failing because each function had a different definition of an urgent request. The activity surfaced that difference in twelve minutes. A slide about collaboration would have hidden it.
Build the experience around a decision, not a game
Write the behavior before choosing the mechanic.
Weak workplace activities often begin with a format: a quiz, a role-play, a scavenger hunt, or a points system. The designer then tries to attach a learning objective. Reverse that order. Ask what a person should do differently in a situation that matters, and build a small, safe rehearsal around that move.
A useful design note can fit on one page:
- Observable behavior: During a cross-functional handoff, the owner states the decision, the unresolved assumption, and the next checkpoint.
- Constraint: The team has incomplete information and limited capacity, so it must choose what to address first.
- Evidence: A decision record shows the owner, assumption, escalation trigger, and next action.
- Replay: A changed dependency tests whether the team uses the behavior when pressure increases.
The constraint creates the play. It gives participants a reason to make a choice rather than recite a principle. Keep the situation close enough to real work that people recognize the judgment involved, but far enough away that nobody is punished for an imperfect first attempt.
That does not require costumes, childish language, or forced enthusiasm. Adults can play seriously when the challenge respects their expertise. Asking a group to decide which work receives scarce capacity is usually more credible than asking them to pretend to be pirates. The point is not to make employees act younger. It is to give them a consequence-light version of a difficult decision.
For team building, shared work is often more revealing than personal disclosure. People learn how colleagues handle uncertainty, challenge an assumption, and respond to correction. That is useful information for a team. It also avoids the awkward expectation that trust must begin with an intimate story told to a room of coworkers.
Maya’s exercise used no public leaderboard. Tables were compared through the quality of their decision records, and every group received the same changing information. She wanted attention on the reasoning, not on which team could perform fastest. The activity still had urgency, but urgency served the behavior.
A well-designed experience has a visible output. It might be a handoff note, a prioritization decision, a customer response, or a short plan for resolving an exception. Without an artifact, participants can leave with a strong memory of the session and no shared standard for what good work looked like.
The debrief does the teaching
An activity without reflection can produce a memorable afternoon and a weak mental model.
Debriefing is where participants connect their choices to the work. Start with facts: What did the group decide? What information did it have? When did the plan change? Keep people away from motives at first. The question is not who was being difficult; it is what was said, omitted, or assumed.
Then move to interpretation. Which assumption shaped the decision? Who had information that others lacked? What made it easy or difficult to challenge the plan? This is where the group can connect its behavior to a principle such as explicit ownership, escalation thresholds, or confirmation of constraints.
Finish with application and a second attempt. Ask what an observer would see in the next real handoff. Change one variable and run the activity again. The replay matters because it tests whether the discussion altered a choice, rather than merely producing agreement in the room.
A facilitator should resist the easy closing question: Did everyone have fun? Reactions have a place in evaluation, but enjoyment is weak evidence of learning. A better question is: Which decision would you make differently in round two, and what would show that change?
Maya used a simple observer checklist. It recorded whether each table named an owner, stated an assumption, and set a checkpoint before moving on. In the debrief, one team realized it had treated silence as agreement. In the replay, the observer watched for a direct confirmation before the group committed its limited capacity.
This also helps keep claims honest. The Kirkpatrick Model distinguishes reaction, learning, behavior, and results. Maya could reasonably claim that participants practiced a handoff behavior and produced evidence of it in the session. She could not claim that a ninety-minute exercise had improved customer outcomes. That would require later observation and business data.
The distinction is important for corporate experiential learning. Measure the thing the activity was designed to change. If the goal is a better decision, inspect the decision. If the goal is stronger recall of a procedure, test recall. A cheerful survey is not a substitute for either.
Play has limits, and mandatory fun can backfire
Play at work fails when the social risk of being wrong is greater than the learning value of trying.
That can happen when a senior leader scores the teams publicly, when the exercise asks employees to reveal personal weaknesses, or when the organization says it welcomes challenge but punishes dissent. No set of cards or clever rules can manufacture psychological safety. If the underlying environment is unsafe, a competitive activity may make the hierarchy louder.
The method also has clear boundaries. Use direct instruction and retrieval practice when employees need to learn exact compliance requirements, terminology, or emergency procedures. A scenario can help people apply those rules afterward, but asking them to discover a legal requirement through improvisation is poor design. Avoid playful formats during acute grief, layoffs, or a serious workplace incident unless the purpose and tone are exceptionally clear.
Competition deserves care. Some teams enjoy a timed challenge; others interpret a scoreboard as a public ranking of competence. Self-determination theory, associated with Edward Deci and Richard Ryan, emphasizes autonomy, competence, and relatedness. A mechanic that energizes one group can reduce all three for another. Cooperative goals, private feedback, multiple ways to participate, and time to prepare are safer defaults.
There is a cost as well. A credible simulation needs subject-matter expertise, a facilitator who can manage the room, an accessible format, and at least one pilot. The research base is stronger for active practice, retrieval, feedback, and reflection than for fun itself. Evidence from educational simulations does not automatically prove that every corporate game improves performance.
Maya’s final design decision was to make the activity optional in one small but meaningful way. Participants could take the decision-maker role, serve as an observer, or prepare the evidence log before joining the discussion. Nobody had to perform a character or compete in public. That flexibility improved the quality of the observations and made the exercise less threatening without lowering its standard.
A useful pilot can happen this week. Pick one recurring team decision, write the behavior in observable terms, create a twelve-minute scenario with one real trade-off, and define the artifact participants must produce. Debrief the first round, change one condition, and run it again. By the end, you should know more about how the team thinks under pressure than a satisfaction score could tell you—and you will have a practical starting point for the next round of adult learning.