Test one restaurant decision, trace its effect through demand and capacity, and decide whether the added benefit is worth the financial and customer tradeoff.
Name: Date: Team or class:
Investigation rule: use the same city, location, restaurant concept, comparison length, and major operating choices in both runs. Change only the decision named in your hypothesis. Random events can affect results, so repeat a promising test before treating it as a general rule.
1. Frame a decision you can test
Choose one major lever: average ticket or price strategy, ingredient or menu quality, one staff role, menu complexity, promotion or ad budget, or delivery exposure. Do not change several at once.
Restaurant setup: City Location Concept
Decision question:
Hypothesis: If we change from to , then because:
Intended outcome
Example: completed orders or profit
Financial measure
Example: payroll share, margin, or cash
Guardrail
Example: satisfaction, lost customers, or kitchen pressure
2. Precommit the fair comparison
Write the settings before looking at the outcome. A controlled comparison is stronger when another team could reproduce it from this record.
Setting
Baseline
Test
Held constant?
Days or month compared
□
Average ticket / price strategy
□
Ingredient and menu quality
□
Staff by role
□
Menu size or complexity
□
Promotion / monthly ad budget
□
Delivery choice
□
One deliberate change
None
—
Stop or reverse rule: We will stop, revise, or reverse the test if:
Name a measurable boundary such as falling cash, sharply lower satisfaction, excessive kitchen pressure, rising lost customers, or an unacceptable loss.
3. Record the evidence
Use matching periods. Daily figures can be distorted by events or fixed-cost timing, so use the monthly report when possible and note any unusual event.
Measure
Baseline
Test
Change
What it suggests
Traffic / demand
Dine-in orders
Delivery orders
Lost customers
Seat utilization
Kitchen pressure / capacity
Satisfaction / reputation
Revenue
Food / platform cost share
Payroll / marketing share
Profit / cash
Unusual event, timing difference, or limitation:
4. Check the restaurant economics
Contribution per order is approximately selling price minus food, packaging, platform fees, and other costs that rise with the order. It is not profit: contribution must still cover payroll, rent, marketing, maintenance, and other fixed or period costs.
Reasonableness check: Do units match? Did you treat revenue as profit, omit an added cost, mix daily and monthly numbers, or divide by zero? Explain one check.
5. Diagnose the pattern before recommending
Lost customers and pressure rose together: demand may exceed the limiting service or kitchen capacity.
Revenue rose but profit fell: food, platform, discount, marketing, waste, or payroll costs may absorb the added sales.
Profit rose while satisfaction fell: the gain may create longer-term demand or reputation risk.
Promotion increased traffic but worsened waits: marketing may be feeding an unresolved capacity constraint.
Delivery volume rose but margin stayed weak: platform fees or kitchen congestion may absorb its contribution.
One period differs sharply: an event, rent timing, or normal variation may require a matched repeat.
Our result most closely matches:
Evidence: cite at least three connected measures, including one financial result and one guardrail.
6. Make an evidence-bounded recommendation
Decision: □ keep the change □ revise it □ reverse it □ repeat before deciding
Recommendation: We recommend because:
Tradeoff or uncertainty:
Next controlled test: change one lever, predict an outcome and guardrail, and explain why this test follows from the evidence.
Teacher guide
A 50-minute restaurant investigation
Minutes 0–7: define revenue, contribution, profit, margin, capacity, constraint, and guardrail. Explain why busy does not necessarily mean profitable.
Minutes 7–15: assign the same setup and comparison period. Teams record a baseline and identify one observed constraint.
Minutes 15–20: teams precommit one lever, one intended outcome, one financial measure, one guardrail, and a stop rule.
Minutes 20–32: run the matched test. Keep all other major choices stable and record the same evidence.
Minutes 32–40: calculate contribution, incremental result, margin, or percent change. Diagnose connected measures rather than selecting the largest number.
Minutes 40–50: teams compare findings. Each student submits an individual recommendation, limitation, and next test.
15-minute route: provide two completed run reports and ask students to calculate one difference, identify the constraint, and defend keep/revise/reverse. 30-minute route: provide the setup and baseline, then let teams design and run one test. With limited devices, rotate operator, recorder, calculation checker, constraint monitor, and skeptic roles.
Useful differentiation: offer a partially completed evidence table or the formula and vocabulary guide; allow typed, handwritten, oral, or diagrammed reasoning that demonstrates the same evidence; and assess individual understanding separately from the team result.
Teacher answer guidance
Results will vary, so grade the reasoning rather than one target number. A strong response preserves a fair comparison, uses matching periods, distinguishes revenue from profit, and acknowledges that a simulated association is not proof about every restaurant.
Student claim
Evidence expected
Teacher prompt
“We need more staff.”
Lost customers, pressure, utilization, service, added payroll, contribution, and profit.
Which role is the constraint, and did added orders cover that role’s cost?
“The promotion worked.”
Incremental demand and contribution compared with campaign cost, capacity, satisfaction, and profit.
Would the added customers have arrived without the promotion?
“Raise the price.”
Ticket, order response, contribution, profit, satisfaction, reputation, and a matched repeat.
What evidence shows the experience supports the value promise?
“Delivery increased sales.”
Delivery orders, platform fees, kitchen pressure, lost dine-in demand, margin, and profit.
Did delivery add contribution or mainly move volume through a costly channel?
Accept “repeat before deciding” when the evidence is mixed, a random event occurred, or periods do not match. That is better reasoning than forcing certainty from weak evidence.
12-point assessment rubric
Criterion
2 points
1 point
0 points
Fair comparison
One major change; setup and period match.
A minor uncontrolled difference.
Several changes or no baseline.
Evidence
Complete connected outcome, finance, and guardrail measures.
Some relevant evidence missing.
Claim lacks recorded evidence.
Calculation
Correct method, units, work, and reasonableness check.
Useful method with a minor error.
No usable calculation.
Diagnosis
Explains a constraint and connected tradeoffs.
Names a pattern with limited connection.
Restates one result only.
Recommendation
Bounded by evidence, limitation, stop rule, and next test.
Decision is plausible but incomplete.
Unsupported certainty or no decision.
Responsibility
Respects safety, privacy, legal, and model limits.
Mentions a limit without applying it.
Suggests unsafe or deceptive action.
Real-world and responsible-use boundary
The Restaurant Profit Simulator is a simplified educational model, not a business plan, valuation, earnings forecast, or substitute for local evidence. Real restaurants face food-safety and allergen controls, permits and inspections, employment and scheduling law, accessibility duties, taxes, leases, insurance, worker safety, equipment standards, waste handling, delivery-platform terms, competition, and changing customer behavior.
Do not turn a classroom test into real purchases, calls, bookings, reviews, employee observation, personal-data collection, or public advertising. Claims about price, value, ingredients, availability, or outcomes should be truthful, supportable, and accompanied by material conditions. A simulated profit result never justifies weakening safety, lawful staffing, accessibility, privacy, or honest communication.
The simulator is free and requires no student account. Use fictional team names and aggregate simulated results. Real investment, pricing, employment, tax, licensing, food-safety, advertising, or legal decisions require current local research and qualified guidance where appropriate.
Restaurant worksheet FAQ
What should students change in a Restaurant Simulator experiment?
Students should change one major lever, such as average ticket, staffing, ingredient quality, menu complexity, promotion, or delivery, while keeping the setup, comparison period, and other important choices stable.
Which Restaurant Simulator results should students record?
Record demand, completed and lost orders, seat utilization or kitchen pressure, satisfaction, revenue, major cost shares, profit, and cash over matching periods. The exact set should include an intended outcome, a financial result, and a customer or safety guardrail.
Why can restaurant revenue increase while profit decreases?
Added sales can carry food cost, platform fees, discounts, marketing expense, waste, or payroll that exceed their contribution. Students should compare the full profit bridge instead of treating revenue as profit.
How can a teacher grade the Restaurant Simulator worksheet?
Use the included 12-point rubric: two points each for a fair comparison, complete evidence, accurate calculations, connected diagnosis, evidence-bounded recommendation, and responsible reflection.
Can this worksheet predict whether a real restaurant will succeed?
No. It supports learning with a simplified simulation and cannot replace local market research or professional financial, legal, tax, food-safety, licensing, employment, accessibility, or insurance guidance.