Jump directly into a structured baseline challenge
Launch Motel Business Simulator with 38 roadside family units, drive-by vacationers, and breakfast service.
Quick answer
Family Roadside Motel is the simulator's balanced reference model: mid-range inventory, rate, room condition, cost, and staffing make no single strategy automatically correct. Start with one complete Balanced month, then test one lever at a time. Keep a change only when monthly profit and cash improve without weakening occupancy, service capacity, room condition, guest reviews, or booking-channel economics.
Know the exact starting model
These are simplified simulator assumptions, not real lodging forecasts. They create a repeatable general-management case in which demand, cost control, guest experience, and cash all matter.
| Starting input | Family Roadside value | Decision implication |
|---|---|---|
| Setup value | $115,000 | The standard challenge leaves $145,000 initial cash before operating results, so there is room to test but not to ignore losses. |
| Room inventory | 42 rooms | The middle-sized inventory can expose both unused-capacity and service-capacity problems. |
| Base nightly rate | $109 | A mid-market rate must balance conversion with enough contribution to cover fixed costs. |
| Starting room quality | 63 points | Adequate condition leaves room for improvement, but upgrading before measuring demand can waste cash. |
| Variable-cost factor | 17% | Occupied rooms create operating cost as well as revenue, so occupancy is not the same as profit. |
| Suggested staff | 3 front desk, 5 housekeeping, 1 maintenance, 1 manager | Coverage should protect service without adding payroll ahead of proven demand. |
City and location also change rent, demand, local spending, booking-channel mix, and weekday/weekend patterns. The default Suburban City and Roadside Exit pairing reduces location rent to 78% of the city figure, uses a 0.94 demand factor, and slightly increases third-party channel exposure. Hold city, location, challenge, term, and random events as steady as possible when comparing decisions.
Calculate the lodging evidence
- Occupancy
rooms sold ÷ 42 × 100. Selling 30 rooms gives 71.4% occupancy.- Average daily rate (ADR)
room revenue ÷ rooms sold. Use realized revenue after rate strategy and promotion.- Revenue per available room (RevPAR)
ADR × occupancy rate. At a $109 ADR and 71.4% occupancy, RevPAR is about $78.- Short-run room contribution
(room revenue − channel fees − room-linked utilities) ÷ rooms sold. Then compare the result with payroll, rent, maintenance, marketing, and other fixed costs.
Use the balanced model as a benchmark
Because this model sits between the low-cost, high-capacity, premium, and seasonal cases, it is useful for learning what each dashboard measure adds. Occupancy describes capacity use; ADR describes realized price; RevPAR combines rate and occupancy; contribution tests whether each occupied room helps; monthly profit and cash show whether the whole operation is sustainable.
A good decision improves the chosen outcome through a plausible mechanism while respecting guardrails. More bookings are weak evidence if they depend on a discount that lowers contribution, a costly channel, deferred maintenance, or service overload.
Run a six-step balanced-model experiment
- Write one decision question. Example: “Will Direct Booking Perk improve monthly profit by reducing channel fees?”
- Precommit the evidence. Choose monthly profit as the outcome; direct mix, ADR, occupancy, and contribution as drivers; and cash, condition, service, and reviews as guardrails.
- Record the controls. Note city, location, challenge, starting cash, rate, amenities, campaign, staff, refresh level, and room count.
- Run a complete baseline month. Save the monthly report and record random events before changing the operation.
- Change one lever. Adjust only the rate strategy, one promotion, amenity level, refresh setting, one staff role, or one campaign.
- Compare and repeat. Explain the result, check every guardrail, identify an outside event, and rerun before making the decision permanent.
Plan matched runs with the controlled experiment guide, then use the results-analysis guide to separate outcomes, drivers, guardrails, and outside events.
Four useful Family Roadside Motel tests
| Decision question | Change only | Primary evidence | Stop or reverse when |
|---|---|---|---|
| Can the motel earn more per available room? | Balanced to Dynamic Premium | ADR, occupancy, RevPAR, contribution, profit | Lost conversion costs more than the higher realized rate earns. |
| Can bookings shift away from costly channels? | Direct Booking Perk | Direct mix, channel-fee share, ADR, profit | The lower effective rate exceeds the channel savings. |
| Is housekeeping the true constraint? | One housekeeping hire | Service capacity, lost bookings, payroll, reviews, profit | Coverage improves without repeatable booking or profit gains. |
| Will preventive room care pay back? | Refresh level or weak-room renovation | Condition, unavailable rooms, satisfaction, cash, profit | Spending does not create a repeatable availability or guest-result gain. |
Fair-test warning: construction, tournaments, travel reviews, equipment failures, inspection warnings, and commission increases can change results. Record them and repeat the comparison instead of automatically crediting the selected lever.
Read the dashboard in order
- Cash: can the motel absorb a repair, quiet period, or test?
- Rooms sold and occupancy: is existing inventory being used?
- ADR and RevPAR: is the rate-volume combination productive?
- Contribution and cost shares: does demand help cover the operation?
- Service capacity and lost bookings: is staffing blocking profitable demand?
- Condition, satisfaction, and reviews: is the guest promise being protected?
- Monthly profit: did the whole system create value?
Diagnose six connected patterns
- Occupancy up, profit down: discounts, channel fees, or variable costs absorb the volume.
- Lost bookings and weak service: restore the constrained staff role before adding rooms.
- Low occupancy and strong service: test a targeted demand or rate lever, not more payroll.
- Profit up and condition down: deferred upkeep may be financing the apparent gain.
- Strong RevPAR and high channel fees: test direct conversion before buying more reach.
- Good reviews and weak cash: inspect price, cost shares, and investment timing.
Use a strict five-room expansion gate
The simulation charges $27,500 to add five rooms and raises staffing requirements with inventory. For Family Roadside Motel, five rooms increase capacity by 11.9%. Require repeated comparable periods with profitable lost bookings, healthy existing rooms, adequate service capacity, stable reviews, and enough cash for the investment plus added payroll, utilities, and maintenance.
Precommit this stop rule: do not expand when occupancy is weak, existing rooms are unavailable, service coverage is below need, demand depends on margin-damaging discounts, or the purchase removes the cash buffer. Fix the current constraint before buying new capacity.
Run a 50-minute classroom investigation
- Minutes 0–7: introduce occupancy, ADR, RevPAR, contribution, and the difference between revenue, profit, and cash.
- Minutes 7–12: assign the same city, location, Family Roadside model, challenge, and decision question. Students predict a result.
- Minutes 12–23: teams run one baseline month and record financial, operating, guest, and event evidence.
- Minutes 23–34: teams change one assigned lever and run a matched comparison.
- Minutes 34–43: students calculate occupancy and RevPAR changes, diagnose the main constraint, and test guardrails.
- Minutes 43–50: teams present a claim-evidence-reasoning recommendation and one limitation or follow-up run.
For shared devices, assign operator, recorder, calculator, and skeptic roles. For no-device access, use the 30-room, $109 ADR example above and ask what channel, cost, service, condition, review, and cash evidence is still needed before a rate recommendation can be defended.
Extend the activity with the lodging revenue management lesson, collect evidence with the printable motel worksheet, and assess reasoning with the business simulation rubric.
Keep the recommendation responsible
The simulator is a fictional learning model. It omits taxes, financing, insurance, labor agreements, accessibility requirements, safety codes, licenses, environmental risks, privacy obligations, consumer-protection rules, and many other real constraints. Its prices, staffing counts, costs, and forecasts are not professional advice.
Real lodging prices and promotions should be truthful and transparent; required fees should not be hidden; accessibility and nondiscrimination obligations matter; guest and payment data need appropriate safeguards; and worker safety, wages, hours, and working conditions must follow applicable law. This page provides learning links, not incentives to click ads, and advertising outcomes never affect the simulation score.
Compare every Motel Simulator model
Family Roadside Motel is the balanced reference case. Compare it with four different cost, capacity, quality, rate, and demand profiles:
- Budget Motor Inn — test a smaller, lower-rate property under tighter cash and condition constraints.
- Airport Express Motel — coordinate larger capacity with weekday airport demand and channel pressure.
- Boutique Lodge — protect a premium rate with stronger quality and service.
- Beachside Motel — manage seasonal weekend peaks without overbuilding for quiet periods.
See the full comparison in the Motel Simulator overview and classroom guide, or browse the complete business simulation strategy guide directory.