Run a controlled store experiment, calculate customer economics, diagnose the operating constraint, and make a recommendation that treats animal welfare and customer trust as non-negotiable guardrails.
Name:
Date:
Team role:
Learning goal: explain how demand, retail basket, grooming capacity, inventory, staffing, care, trust, and cost connect to profit. A strong answer uses repeated evidence and never treats a higher score as permission to weaken welfare or safety.
1. Frame one useful investigation
Choose one decision question. Keep the city, location, store model, challenge level, and observation length stable so the comparison remains interpretable.
My investigation question:
Why this question matters to animals, customers, workers, cash, or community trust:
2. Plan a controlled comparison
Record a baseline before changing an important decision. Change only one main variable in the test, observe equal periods, and repeat when an adoption buzz, supplier delay, viral photo, inspection warning, sick groomer, or seasonal event distorts the comparison.
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:
Precommitted guardrail: I will reject the change even if profit rises when pet welfare falls below _____, habitat cleanliness falls below _____, or this worker, customer, safety, inventory, or cash outcome becomes unacceptable:
3. Calculate the economics before judging the strategy
Use the simulator’s profit breakdown, unit economics, Finance tab, and monthly report. Label dollars, customers, appointments, and percentages. The simulator already estimates contribution and break-even customers; show one calculation so the meaning is clear.
Feasibility check: Can the current inventory, associates, groomers, caretakers, stations, and habitats serve the break-even count while maintaining the guardrails? ☐ Yes ☐ No ☐ Unsure
Show one calculation with units:
4. Record baseline, test, and repeat evidence
Use the same number of simulated days for every row. Record any random event; otherwise a supplier delay or adoption weekend can be mistaken for the effect of your decision.
Run
Decision tested
Customers served
Grooming done
Average basket
Lost customers
Inventory health
Cleanliness
Pet welfare
Satisfaction / review
Contribution / customer
Monthly profit
Event note
Baseline
Test
Repeat
Profit difference, test − baseline:
Contribution difference:
Welfare difference:
Strongest repeated pattern:
Confounding event, missing measure, or uncertainty:
5. Diagnose the constraint before recommending a change
Check every pattern supported by your evidence. Then explain the most important relationship with at least one financial and two non-financial measures.
My diagnosis:
Evidence against a competing explanation:
Grooming-expansion stop rule: do not recommend another station merely because one promotion creates a busy period. Require repeated unmet demand with suitable groomer coverage, acceptable grooming quality, welfare and cleanliness above the guardrail, durable contribution, and enough cash for the station and related labor.
6. Write an evidence-bounded recommendation
Claim: Which decision should the pet store keep, reverse, or test next?
Evidence: Cite at least three numbers, including profit or contribution, one operating measure, and one welfare, cleanliness, satisfaction, or review measure.
Reasoning: Connect the decision to demand, capacity, care, trust, cost, and the observed result.
Tradeoff: What improved less, became worse, or still needs monitoring?
Limit: What does this simplified simulation omit that would matter in a real pet business?
Next controlled test:
Teacher guide: a 50-minute pet store decision lab
0–7 minutes — orient: distinguish demand from customers served, retail revenue from grooming revenue, contribution from profit, and a business target from a welfare guardrail.
7–14 minutes — plan: pairs choose one decision, state its mechanism, record controls, and precommit to a welfare or cleanliness threshold that profit cannot override.
14–29 minutes — test: run baseline and test periods of equal length. Students record the evidence table instead of relying on the final score or advisor alone.
29–36 minutes — verify: repeat when possible, check the simulator’s contribution and break-even values, calculate margin, and flag any event that weakens causal confidence.
36–45 minutes — recommend: write a claim supported by financial, operating, and welfare evidence, plus one tradeoff, model limit, and next test.
45–50 minutes — debrief: compare teams that increased traffic with teams that improved inventory, grooming flow, care, or margin. Ask which profitable choices still failed a guardrail.
Suggested teacher answers and look-fors
Good fair test: same city, location, model, challenge, observation length, staffing, product mix, care, and marketing; only price changes. Changing price, promotion, staff, and care together prevents a clear causal claim.
Good contribution reasoning: higher basket or grooming revenue helps only when inventory, care, utilities, payroll, rent, and marketing still leave sufficient contribution and profit.
Good grooming diagnosis: repeated unmet appointments with capable groomers and acceptable quality can support a station test. General customer traffic alone cannot.
Good care diagnosis: a strategy is not responsible merely because reviews remain temporarily high. Falling welfare or cleanliness is itself a stop signal and may create delayed trust, safety, or compliance harm.
Good uncertainty statement: an adoption event, supply delay, inspection, viral post, sick groomer, or seasonal demand event means the run should be repeated before attributing the difference to the chosen decision.
15-minute option: provide a common baseline. Students choose one change, predict two results and one guardrail, observe a short test, and submit a three-number diagnosis.
30-minute option: complete the question, plan, baseline, test, one calculation, diagnosis, and short recommendation. Use a matched result from another team as the repeat.
No-device option: provide three completed evidence rows. Students calculate margin, identify the constraint, reject one unsafe or unsupported recommendation, and design the next controlled test.
Quick 12-point assessment rubric
Investigation design (0–3): asks a useful question, changes one main decision, identifies controls, and states a measurable prediction and precommitted guardrail.
Evidence and calculations (0–3): records comparable runs, labels units, uses contribution, break-even, or margin accurately, and acknowledges an event or uncertainty.
Diagnosis and reasoning (0–3): connects financial, operating, customer, and welfare evidence through a plausible business mechanism.
Recommendation and boundaries (0–3): gives a bounded action, tradeoff, stop rule or next test, and a meaningful real-world limitation.
The simulator is a simplified learning model, not animal-care, veterinary, legal, financial, employment, or safety advice. A real pet retailer, groomer, trainer, or adoption partner may face licensing, sourcing, vaccination, quarantine, sanitation, enclosure, temperature, recordkeeping, inspection, accessibility, insurance, tax, and worker-safety requirements that differ by place and activity.
Animal welfare is not a marketing score to trade away for simulated profit. Real decisions need species-appropriate care, trained supervision, safe handling, infection controls, emergency plans, and qualified veterinary input. Promotions and adoption claims should be truthful, material fees and conditions should be clear, and customer or adopter data should not be collected for this classroom exercise.
Decision boundary: use the activity to practice evidence and tradeoff reasoning. Verify real requirements with qualified local animal-welfare authorities, veterinarians, regulators, and other professionals before applying an idea outside the simulation.
Pet store worksheet FAQ
What should students change in a pet store experiment?
Change one major decision, such as price strategy, product mix, grooming quality, staffing, care level, community event, or marketing budget. Keep the store model and other important settings stable.
How do students use contribution per customer?
Contribution per customer estimates the revenue left after customer-level inventory, care, and utility costs. Compare it with fixed payroll, rent, and marketing costs and the simulator’s break-even customer estimate.
Does higher pet store revenue always mean a better strategy?
No. Revenue can rise while inventory cost, payroll, care cost, marketing, lost customers, weak cleanliness, or low welfare makes the overall result worse.
When should students recommend another grooming station?
Require repeated evidence of unmet grooming demand with adequate groomer coverage, acceptable quality and welfare, durable contribution, and enough cash for the station and related labor.
Can a profitable pet store strategy fail the worksheet?
Yes. Reject a recommendation when it depends on unacceptable animal welfare, habitat cleanliness, worker, customer-trust, legal, or safety outcomes, even when simulated profit rises.