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Printable student investigation and teacher guide
Food Truck Simulator Worksheet
Plan a fair food truck experiment, calculate unit economics, compare a baseline with one operating change, and defend a recommendation using financial, demand, capacity, quality, and waste evidence.
1. Frame one useful investigation
Begin with a decision question, not a vague goal such as “sell more.” Name one input and the connected outcomes you expect it to influence. For example: How does changing from Balanced to Service Heavy staffing affect orders served, queue time, food quality, payroll share, customer satisfaction, and monthly profit?
My investigation question:
Why this question matters to the truck:
Choose the one main decision to test:
2. Plan a controlled comparison
Use the same truck format, location, challenge, and observation period for every run. Record a baseline before changing anything important. Then change one decision while holding the other settings stable. Read the event log: rain, festivals, supplier delays, reviews, or machine trouble can make a single period less comparable.
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, waste, cash, safety, or staff outcome:
3. Calculate the food truck measures before judging the strategy
Use numbers from the same period and label every unit. If the dashboard reports a measure, calculate it independently when enough inputs are visible and note any rounding difference.
Reasonableness check: Is contribution per order lower than revenue per order? ☐ Yes ☐ No. Is profit lower than revenue after all costs? ☐ Yes ☐ No. If not, recheck the signs, time period, and cost units.
4. Record baseline, test, and repeat evidence
Copy results at the same stopping point. Repeat the test when a random event or demand shock makes the first comparison hard to interpret. A repeat tests consistency; it is not permission to discard an inconvenient result.
| Run | Main setting | Orders served | Lost customers | Queue time | Revenue / ticket | Food quality | Waste | Satisfaction / review | Labor / ingredient share | Profit / cash |
|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | ||||||||||
| Test | ||||||||||
| Repeat |
5. Diagnose the operating pattern before recommending a change
Choose the pattern closest to your result and explain it with the evidence table. More than one pattern may apply.
- Traffic rose but orders did not: price, offer fit, inventory, quality, or service capacity may be limiting conversion. Buying more attention does not repair the constraint.
- Orders rose but profit fell: a discount, promotion expense, extra payroll, ingredient cost, packaging, or waste may have absorbed the added revenue.
- Queues and lost customers stayed high: cook, cashier, griddle, prep inventory, or menu complexity may be the bottleneck. Identify it before adding equipment or staff.
- Quality or reviews fell during growth: demand may have outrun coverage, prep, supplier reliability, or production consistency. Stabilize the operation before promoting again.
- Ticket rose but waste also rose: a more complex menu or side bundle may create revenue while leaving costly unsold prep. Compare contribution and total profit.
- The repeat did not match the first test: weather, a festival, supplier delay, review change, machine trouble, or a second changed setting may be influencing the result. Narrow the claim.
Which pattern best explains my result, and which numbers support it?
What evidence would make me reject this explanation?
6. Write an evidence-bounded recommendation
Claim: Which setting should this simulated food truck use next?
Evidence: Cite at least three numbers, including one financial result and one capacity, quality, waste, or customer result.
Reasoning: Explain the path from the changed decision through demand, ticket, contribution, capacity, quality, or waste to the observed outcome.
Tradeoff and uncertainty: What became worse, which event or assumption complicates the comparison, and what remains unknown?
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 food truck decision lab
- Launch—5 minutes: map traffic → orders → ticket → contribution → fixed costs → profit. Ask why a long line can be bad news rather than proof of success.
- Plan—7 minutes: pairs choose one truck and location, one decision variable, matching controls, a prediction, and a guardrail.
- Baseline—8 minutes: students preserve the opening setup, run to an agreed stopping point, read the event log, and record all eleven evidence fields.
- Controlled test—10 minutes: change only the selected decision and use the same observation period. Repeat when time permits or when a major event disrupts comparison.
- Calculate and diagnose—8 minutes: verify revenue per order, contribution, conversion, and profit margin; then select a diagnosis 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 gained orders without profit or improved profit while weakening quality. Reward bounded explanations over confident guesses.
Suggested teacher answers and look-fors
Why can more orders reduce profit? Extra volume may come from a discount, require more labor and ingredients, increase waste, or exceed efficient capacity. Students should connect orders to contribution per order and total costs rather than treating sales volume as the objective.
When is another griddle or worker justified? Repeated queues and lost customers may show a capacity constraint, but students should identify whether the actual limit is cooking, payment, prep inventory, or menu complexity. Added capacity needs enough retained contribution to cover payroll, utilities, and cash cost.
What makes a strong recommendation? It names the tested setting, cites comparable results, explains a mechanism, admits uncertainty, protects a guardrail, and proposes a smaller next test. “This strategy always works” is not supported by a few simulated periods.
Access and participation options
When devices are limited, project one simulator and assign operations, finance, customer, and evidence leads. Allow typed, dictated, or oral recommendations with the same evidence requirements. Provide the formulas before class when calculation is not the learning target, and use the accessible classroom guide for equivalent participation routes.
Quick 12-point assessment rubric
- Experiment design (0–3): names one changed variable, useful controls, matching periods, a reasoned prediction, and a guardrail.
- Calculations and evidence (0–3): records comparable results and correctly interprets orders, ticket, contribution, queue, quality, waste, and profit.
- Business reasoning (0–3): explains a plausible decision-to-result chain and distinguishes traffic, revenue, contribution, profit, and cash.
- Recommendation (0–3): supports a bounded claim with numbers, a tradeoff, a model limitation, and a useful next test or stop rule.
For a longer assignment, use the complete simulation rubric, controlled experiment guide, and one-page decision brief template.
Responsible-use and real-world limits
The Food Truck Simulator is a simplified learning model. It does not establish what a real operator should charge, serve, spend, hire, or claim. Real operations can involve mobile food permits, commissary rules, food-handler training, inspections, temperature control, allergen communication, fire and propane safety, vehicle rules, zoning, event permissions, accessibility, employment standards, taxes, insurance, payment security, waste disposal, and local consumer-protection requirements.
Do not treat simulated advertising as guaranteed demand or a reason to collect personal data. Real promotions should be truthful, clearly disclosed, and measured using legitimate visits and sales—not automated, purchased, exchanged, or incentivized traffic. Never trade food safety, honest allergen information, fair worker treatment, or accessible service for a simulated profit target.
For real decisions, verify current requirements with primary local government and public-health sources and qualified professionals. In class, use fictional business names and model outputs; this worksheet needs no account or personal customer data.
Food truck worksheet FAQ
What should students change in the Food Truck Simulator experiment?
Change one major decision, such as average ticket, pricing strategy, menu focus, staffing style, supplier, quality investment, promotion, or advertising budget. Keep the truck, location, and other important settings stable.
Does serving more food truck orders always increase profit?
No. More orders can require extra labor and ingredients, increase waste, or depend on a discount that reduces contribution per order. Compare revenue, total costs, queue time, quality, and profit.
How should students interpret food truck queue time?
Queue time is a capacity signal. A long queue with lost customers can indicate a cook, cashier, griddle, inventory, or menu-complexity constraint. Extra capacity is justified only when added contribution can cover its cost.
How long does the food truck worksheet activity take?
A focused baseline-and-test activity takes about 30 minutes. A 50-minute lesson allows a repeated run, calculations, diagnosis, an individual recommendation, and a short debrief.
Can this simulation predict whether a real food truck will succeed?
No. It omits many local food-safety, permit, zoning, fire, vehicle, tax, accessibility, employment, insurance, and market requirements. Real decisions require current local information and qualified advice.