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Printable student investigation and teacher guide
Coffee Shop Simulator Worksheet
Plan a fair café experiment, calculate contribution and break-even volume, compare a baseline with one operating change, and defend a recommendation using financial, customer, capacity, quality, inventory, and waste evidence.
1. Frame one useful café investigation
Begin with a decision question, not a vague goal such as “sell more coffee.” A useful question names one decision and the connected outcomes it may change. For example: How does Service Heavy staffing affect queue time, lost customers, payroll, satisfaction, and monthly profit?
My investigation question:
Why this question matters to the café:
Choose the one main decision to test:
2. Plan a controlled monthly comparison
Use the same café format, city, location, and challenge mode for both runs. Preserve an opening setup or local save, record a complete baseline month, then change one major control for the next month. Avoid comparing a single busy day with a full monthly report. Record random events because rain, an office rush, a review, a supplier delay, a machine problem, or a festival can alter the result.
Prediction: If I change __________ from __________ to __________, then __________ will change because:
Guardrail: I will reject the change even if profit rises when it causes this unacceptable queue, quality, inventory, waste, staffing, customer, or cash result:
3. Check the unit economics before judging growth
Use values from the same day or month and write the units beside every answer. The simulator displays daily contribution and break-even customers; verify them from the visible profit breakdown when possible.
Reasonableness check: Is contribution per customer lower than average ticket? ☐ Yes ☐ No. If no, recheck whether all variable costs were subtracted and every figure came from the same day.
4. Record baseline, test, and repeat evidence
Capture the same dashboard measures at the same stopping point. Repeat the test when an event or unusually strong demand makes the first comparison difficult to interpret. A repeat tests consistency; it is not permission to discard an inconvenient outcome.
| Run | Main setting | Traffic / served | Avg ticket | Queue / lost | Quality | Inventory | Waste | Contribution / break-even | Satisfaction / review | Revenue / profit / cash |
|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | ||||||||||
| Test | ||||||||||
| Repeat |
5. Diagnose the result before recommending a setting
Choose the closest pattern and support it with the evidence table. More than one pattern may apply.
- Traffic rose but profit fell: promotion cost, discounts, ingredients, waste, or extra payroll may have absorbed the added sales. Check contribution and monthly costs.
- Traffic was available but orders were lost: staff coverage, service style, espresso-machine capacity, or inventory may be the constraint. More advertising would amplify the problem.
- Queue time fell but profit also fell: extra labor may have exceeded the value of the orders saved. Compare payroll share, served orders, satisfaction, and profit.
- Average ticket rose but orders fell: premium pricing or a complex menu may have reduced conversion. The remaining orders must add enough contribution to offset the lost volume.
- Revenue rose while quality, satisfaction, or reviews fell: rushed service, weak coverage, or low investment may be shifting a short-term gain into weaker future demand.
- Waste or inventory pressure increased: the menu, promotion, supplier, and demand pattern may be mismatched. Simplifying the offer can be better than expanding.
- The repeat disagreed with the test: a random event, timing difference, or second changed control may be influencing the result. Narrow the claim and test again.
Which pattern best explains my result, and which numbers support it?
What evidence would make me reject this explanation?
6. Write an evidence-bounded café recommendation
Claim: Which setting should this simulated coffee shop use next?
Evidence: Cite at least three numbers: one financial measure, one demand or capacity measure, and one quality, inventory, waste, or customer measure.
Reasoning: Explain the path from the changed decision through traffic, conversion, capacity, ticket, variable cost, quality, or waste to the result.
Tradeoff and uncertainty: What became worse, which event may have mattered, and which model assumption limits the claim?
Next test and stop rule: What will you test next, and which result would make you pause or reverse the change?
Teacher guide: a 50-minute coffee shop decision lab
- Launch—5 minutes: distinguish traffic, orders served, contribution, break-even customers, profit, and cash. Ask why a busy café might still lose money.
- Plan—7 minutes: pairs select one café, one decision variable, matching controls, a prediction, and a customer or operating guardrail.
- Baseline—8 minutes: students keep the opening setup stable, run to an agreed monthly stopping point, and copy all evidence fields.
- Controlled test—10 minutes: change only the selected decision, use a matching month, note random events, and record the result.
- Calculate and diagnose—8 minutes: verify contribution, break-even customers, and conversion; then choose a result pattern.
- Recommend—7 minutes: each student writes an individual claim with three numbers, a tradeoff, a limitation, and a stop rule.
- Debrief—5 minutes: compare teams that improved orders but not profit, or profit but not service quality. Identify the next fair test.
30-minute route: provide the baseline, let students run one test, and require the diagnosis and recommendation. 15-minute route: display two completed reports and ask students to calculate contribution, identify the likely bottleneck, and write one bounded claim.
Suggested discussion answers
- Why can a promotion reduce profit? It has a direct cost and may attract orders that the current team, machines, or inventory cannot serve. Discounts and waste can also lower contribution.
- When is more staffing justified? When lost orders, queue time, quality, and repeat comparisons show a capacity problem and the added contribution can cover the added payroll.
- Why is contribution not profit? Contribution excludes important fixed operating costs such as payroll, rent, and marketing. Positive contribution is necessary but may still be too small to break even.
- Why record events? A supplier delay, festival, review, or weather change is a rival explanation. Students should not attribute every change to their selected control.
Fast 12-point rubric
| Criterion | 3—Strong | 2—Developing | 1—Beginning | 0—Missing |
|---|---|---|---|---|
| Experiment design | One clear variable, matching controls and periods, prediction, guardrail | Mostly fair comparison with a minor gap | Several settings or periods differ | No comparison |
| Calculations | Contribution, break-even, and conversion are correct with units | Method is clear with one minor error | Partial or inconsistent method | No usable calculations |
| Evidence and diagnosis | Uses connected financial, capacity, and quality evidence | Uses relevant evidence from two areas | Lists results without explaining the pattern | No evidence |
| Recommendation | Bounded claim, tradeoff, uncertainty, next test, and stop rule | Supported claim with one missing boundary | Broad claim with weak support | No recommendation |
Real-world boundaries and responsible use
This simulator is an educational model, not a forecast, food-safety plan, legal opinion, staffing standard, or investment recommendation. A real café must verify current local food handling, health inspection, licensing, employment, wage, scheduling, accessibility, tax, lease, insurance, fire, occupancy, waste, and consumer-protection requirements. Never use a simulation result to reduce legally required staffing, sanitation, training, accessibility, or safety controls.
Keep classroom evidence about the simulated business. Do not enter employee, customer, or student personal information in café names, exported files, or shared result text. Advertising decisions should use truthful claims, identify material conditions, avoid targeting vulnerable people unfairly, and never imitate navigation or game controls. More traffic is not a valid goal when capacity, safety, customer experience, or unit economics cannot support it.
Coffee Shop Simulator worksheet FAQ
What should students change in the Coffee Shop Simulator experiment?
Change one major decision, such as price strategy, menu focus, staffing style, supplier, quality investment, or promotion. Keep the café format, location, challenge, observation period, and other important settings stable.
How do students calculate contribution per customer?
Subtract ingredient, waste, and utility costs from sales revenue for the same day, then divide by orders served. Contribution is available to cover payroll, rent, marketing, and profit; it is not profit itself.
Does serving more coffee shop customers always improve profit?
No. More demand can increase queues, lost customers, waste, payroll, ingredients, and marketing costs. Compare contribution, break-even volume, quality, satisfaction, cash, and profit rather than orders alone.
How long does the coffee shop worksheet activity take?
A focused baseline-and-test activity takes about 30 minutes. A 50-minute lesson allows a matching monthly comparison, calculations, diagnosis, an individual recommendation, and a debrief.
Can this simulation predict whether a real coffee shop will succeed?
No. The model omits many local food-safety, licensing, accessibility, employment, tax, lease, insurance, financing, and market requirements. Real decisions need current local information and qualified advice.