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Direct classroom scenario launch codes

Launch a matched bakery scenario with one click

Teachers and students can start all devices on the exact same baseline parameters using these direct scenario URLs:

🥖 Village Artisan Bakery (Standard) 🥐 Commuter Pastry Shop (Standard) 🎂 Custom Celebration Cakes (Standard) 🎓 Campus Market Café (Easy) ⚡ Metro Wholesale Bakery (Hard)

Printable student investigation and teacher guide

Bakery Simulator Worksheet

Q: What should students change in a bakery experiment?

Students should change one major decision, such as production mix, price, staffing style, freshness investment, supplier, promotion, or marketing budget, while keeping the bakery format and other important settings stable.

Q: Does producing or selling more always improve bakery profit?

No. More production can increase ingredient cost, waste, payroll, utilities, queues, and quality pressure. Students should compare profit with freshness, stockouts, waste, satisfaction, reviews, and capacity.

Q: When should students recommend another bakery oven?

Students should recommend another oven only after repeated evidence shows adequate staffing and ingredients, durable lost-order or queue pressure, acceptable freshness and waste, and enough expected contribution to cover the extra capacity cost.

Q: Can this bakery worksheet be used without grading profit alone?

Yes. The rubric rewards a fair test, accurate calculations, connected evidence, uncertainty, and responsible boundaries. A well-supported diagnosis can earn full credit even when the simulated bakery loses money.

Run a controlled bakery experiment, calculate order-level economics, diagnose the production constraint, and recommend a plan that protects freshness as well as profit.

Name:

Date:

Team role:

Learning goal: explain how demand, production capacity, freshness, perishable inventory, variable cost, and fixed cost connect to profit. The busiest or highest-revenue bakery is not automatically the healthiest business.

1. Frame one useful investigation

Choose one decision question. Keep the bakery format and location stable so the comparison remains interpretable.

☐ Does a different price improve contribution without reducing completed orders too sharply? ☐ Does heavier staffing reduce rush waits enough to cover the added payroll? ☐ Does a different product mix improve average order value after ingredient cost and waste? ☐ Does a promotion create profitable demand, or overload production and service? ☐ Does a better supplier protect freshness and ingredient stock enough to justify its cost? ☐ Is another oven supported by repeated lost-order and capacity evidence?

My investigation question:

Why this question matters to customers, workers, cash, food quality, or waste:

2. Plan a controlled comparison

Record a full-month baseline before changing one important decision. Observe equal periods. Repeat the test when a demand event, supply disruption, review, or equipment change makes the first comparison unusual.

Independent variable—the one decision I will change:

Controlled variables—the decisions I will keep stable:

Baseline setting:

Test setting:

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 freshness, waste, queue, staffing, cash, safety, or customer outcome:

3. Calculate the bakery economics

Use the Finance and Today’s Profit Breakdown panels. Label dollars, percentages, orders, and minutes. These formulas organize evidence; they do not replace checking freshness, ingredient condition, waste, lost orders, satisfaction, or reviews.

Variable cost per order
(ingredient cost + waste cost + variable utilities) ÷ completed orders

Contribution per order
average order value − variable cost per order

Break-even orders
daily fixed costs ÷ contribution per order

Profit margin
monthly profit ÷ monthly revenue × 100

Average order value:

Variable cost/order:

Contribution/order:

Daily fixed costs:

Break-even orders:

Monthly profit margin:

Capacity reasonableness check: Can the current ovens, bakers, prep staff, and counter staff complete the break-even order count without unacceptable waits, stockouts, waste, or freshness loss? ☐ Yes ☐ No ☐ Unsure

Show one calculation with units:

4. Record baseline, test, and repeat evidence

Use the same observation length for every row. Record an event note so a festival, supplier problem, equipment issue, or favorable review is not mistaken for the effect of your decision.

Run	Decision tested	Orders filled	Average order	Rush wait	Lost orders	Freshness	Ingredient condition	Waste rate	Satisfaction / review	Revenue	Profit	Event note
Baseline
Test
Repeat

Profit difference, test − baseline:

Waste-rate difference:

Freshness difference:

Strongest repeated pattern:

Confounding event or uncertainty:

5. Diagnose the constraint before recommending a change

Check every pattern supported by evidence. Then explain the most important connection rather than listing dashboard numbers.

☐ Demand gap: operations are stable, but traffic or conversion is too low. ☐ Production bottleneck: rush waits and lost orders rise despite useful demand. ☐ Freshness problem: complexity, weak inputs, overload, or low investment damages quality. ☐ Overproduction: availability is high, but waste erases too much contribution. ☐ Ingredient constraint: stock condition weakens capacity, quality, or consistency. ☐ Margin problem: order volume is healthy, but ingredients, waste, payroll, or promotion cost absorbs revenue.

Cause chain: Because __________ changed, __________ happened in production or demand, which changed __________ and led to __________ in profit, freshness, or trust.

Alternative explanation:

Keep: Which setting is already helping, and what evidence supports keeping it?

Change: What is the smallest next change likely to address the diagnosed constraint?

Verify: Which three measures will show whether the next change worked?

Oven expansion stop rule: Do not recommend another oven from one busy day. Require repeated lost-order or queue evidence after staffing and ingredients are adequate, while freshness and waste remain acceptable and expected contribution can support the added capacity.

Recommendation with one limitation:

7. Teacher lesson routes

50-minute controlled-experiment lesson

Minutes 0–7: introduce contribution, perishable inventory, and why sales can rise while profit falls.
Minutes 7–14: teams choose one question, identify the changed and controlled variables, predict an outcome, and set a guardrail.
Minutes 14–28: run a full-month baseline and one full-month test. Assign operator, recorder, calculator, and skeptic roles.
Minutes 28–36: repeat the test or inspect another full period; record an event note and calculate contribution or margin.
Minutes 36–46: diagnose the constraint and write a recommendation with a limitation.
Minutes 46–50: compare whether each team improved profit by adding demand, improving flow, reducing waste, or protecting contribution.

Short and access-friendly routes

15 minutes: provide a saved baseline, let students change one control, and complete the cause chain.
30 minutes: run baseline and test only; use the teacher-provided finance values for one calculation.
No-device route: provide three completed evidence rows and ask teams to diagnose, calculate, and recommend.
Reduced-writing route: permit checked diagnosis patterns plus a spoken claim–evidence–limitation response.

Grade the quality of the investigation, not the simulated profit result. Random events can make a thoughtful decision look weak in one period.

8. Suggested answers and discussion guidance

A valid fair test changes only one major decision and compares equal periods. Changing product mix, price, staffing, and promotion together does not isolate a cause.
A sound contribution answer subtracts ingredient, waste, and variable utility cost per order from average order value, with dollars per order labeled.
High demand plus long waits and lost orders suggests a production or service constraint. Check staffing before paying for another oven.
High availability plus high waste suggests overproduction or an overly fragile product mix, not an automatic need for more marketing.
More revenue plus less profit can be explained by lower contribution, higher waste, payroll, ingredient cost, utilities, or promotion cost.
Premium price with weak freshness or reviews is not a stable strategy because the customer promise is unsupported.
A strong recommendation names one next change, cites at least two connected measures, preserves a guardrail, and admits one uncertainty.

Useful discussion prompt: Which is more costly in your evidence—an empty shelf that loses an order, or an extra product that becomes waste? What additional evidence would improve that decision?

9. Twelve-point assessment rubric

Criterion	3 points	2 points	1 point	0 points
Experiment design	One clear variable, useful controls, equal periods, prediction, and guardrail	Mostly controlled with a minor gap	Several decisions change or plan is vague	No usable comparison
Evidence and math	Complete repeated evidence and accurate labeled calculation	Usable evidence with a small error or omission	Partial evidence or unsupported math	No relevant evidence
Diagnosis	Connects demand, production, freshness, waste, cost, and profit	Explains a plausible pattern with evidence	Lists measures without a clear cause chain	No diagnosis
Recommendation	Specific, evidence-bounded, responsible, testable, and includes uncertainty	Reasonable next step with some support	Broad recommendation with weak support	No recommendation

10. Responsible-use boundaries

This is a simplified learning model, not a forecast for a real bakery. Real decisions also require food-safety controls, allergen management, worker-safety training, wage and scheduling compliance, permits, inspections, equipment maintenance, accessibility, accurate tax and cost records, and local professional advice.

Never interpret simulated freshness as permission to sell unsafe food. Do not make unsupported health, freshness, local-sourcing, environmental, or “artisan” claims. Advertising should be accurate, clearly identified, and measured with legitimate customer interest—not bots, click exchanges, deceptive promotions, or manufactured reviews.

Do not collect real customer or employee personal data for this activity. Treat simulation outcomes as hypotheses to test, not proof that a real-world business decision will succeed.

Bakery worksheet FAQ

What should students change in a bakery experiment?

Change one major decision—production mix, price, staffing style, freshness investment, supplier, promotion, or marketing budget—while keeping the bakery format and other important settings stable.

How do students calculate contribution per bakery order?

Subtract ingredient, waste, and variable utility costs per completed order from average order value. This estimates what each order contributes toward payroll, rent, marketing, and profit.

Does producing or selling more always improve bakery profit?

No. More production can increase ingredients, waste, payroll, utilities, queues, and quality pressure. Compare profit with freshness, stockouts, waste, satisfaction, reviews, and capacity.

When should students recommend another bakery oven?

Only after repeated evidence shows adequate staffing and ingredients, durable lost-order or queue pressure, acceptable freshness and waste, and enough expected contribution to support the capacity cost.

Can this bakery worksheet be used without grading profit alone?

Yes. Reward fair testing, accurate calculations, connected evidence, uncertainty, and responsible boundaries. A strong diagnosis can earn full credit even when the simulated bakery loses money.