Jump directly into a structured baseline challenge
Launch Motel Business Simulator with 28 premium lodge suites, craft amenities, and direct guest bookings.
Quick answer
Boutique Lodge begins with only 30 rooms but the highest setup value, base rate, room quality, and variable-cost factor among the five fictional models. Its advantage is premium revenue from a compact inventory; its risk is paying for a premium promise that demand or operations cannot support. Establish a stable month, protect condition and service, and test one pricing or channel lever at a time. High occupancy is not success when discounts, third-party fees, payroll, or falling quality consume the extra revenue.
Know the exact starting model
The values below are simplified simulator assumptions, not real lodging forecasts. Their purpose is to create a repeatable premium-positioning case.
| Starting input | Boutique Lodge value | Decision implication |
|---|---|---|
| Setup value | $220,000 | The highest opening commitment, leaving the least starting cash before challenge adjustments. |
| Room inventory | 30 rooms | A compact property where unavailable rooms and missed bookings quickly affect results. |
| Base nightly rate | $189 | The highest opening rate, so conversion depends on visible value and reputation. |
| Starting room quality | 82 points | A strong initial asset that occupancy and deferred maintenance can erode. |
| Variable-cost factor | 25% | The highest model factor, reflecting the simulation's richer service promise. |
| Suggested staff | 3 front desk, 4 housekeeping, 2 maintenance, 1 manager | More coverage per room than the value models, with corresponding payroll pressure. |
City and location still change rent, demand, local spending, weekday and weekend patterns, and online-travel-agency mix. Compare strategies only when the city, location, challenge, term, and random events are reasonably matched. A Boutique Lodge in an airport district is not the same case as one in a seasonal leisure location.
Calculate the core lodging metrics
- Occupancy
rooms sold ÷ total rooms × 100. If 21 of 30 rooms sell, occupancy is 70%.- Average daily rate (ADR)
room revenue ÷ rooms sold. Use the realized average rate after the selected rate strategy and promotion.- Revenue per available room (RevPAR)
ADR × occupancy rate. At a $189 ADR and 70% occupancy, RevPAR is $132.30.- Room contribution
(room revenue − channel fees − room-linked utilities) ÷ rooms sold. The simulator displays this short-run contribution before fixed operating costs.
Protect rate integrity, not just ADR
A high ADR is useful only when guests still book and the operation delivers the promised experience. Premium Rates may lift revenue per occupied room but reduce conversion. Discounts may lift occupancy while lowering contribution and training guests to expect a cheaper offer.
Read ADR and RevPAR beside monthly profit, channel-fee share, service capacity, room condition, satisfaction, reviews, and cash. If the rate rises while occupancy softens slightly and profit improves, the experiment may be working. If profit rises only because refresh work was deferred and condition falls, the gain is borrowing from future availability and reputation.
Run a six-step controlled Boutique Lodge experiment
- Write one decision question. Example: “Will Premium Rates increase monthly profit versus Balanced pricing without pushing occupancy below 60%?”
- Precommit the evidence. Choose one outcome such as monthly profit, two drivers such as ADR and occupancy, and guardrails such as room condition, review score, and cash.
- Record the controls. Note city, location, challenge, starting cash, base rate, rate strategy, amenities, promotion, campaign, staff, rooms, and refresh level.
- Run a complete baseline month. Record the report and any random event instead of judging the opening days.
- Change one lever. Adjust only pricing, direct-booking promotion, amenity level, refresh setting, one staff role, or one campaign.
- Compare and repeat. Calculate changes, identify the likely mechanism, name a limitation, and rerun before making a permanent recommendation.
Plan the fair comparison with the controlled experiment guide, then use the results-analysis guide to separate outcomes, drivers, guardrails, and context.
Four useful premium-lodge experiments
| Decision question | Change only | Primary evidence | Stop or reverse when |
|---|---|---|---|
| Can the lodge defend Premium Rates? | Rate strategy | ADR, occupancy, RevPAR, monthly profit, reviews | Profit or cash falls, or the demand loss is not offset by stronger contribution. |
| Do Upgraded Amenities pay back? | Room quality selection | Satisfaction, reviews, occupancy, contribution, profit | Higher service cost produces no repeatable demand or rate benefit. |
| Can direct bookings retain more revenue? | Direct Booking Perk | Direct mix, channel-fee share, contribution, profit | The promotional rate costs more than the fees it avoids. |
| Is maintenance the capacity constraint? | Refresh level or weak-room renovation | Condition, unavailable rooms, lost bookings, reviews, cash | Cash falls without measurable availability, service, or demand improvement. |
Fair-test warning: concert demand, highway disruption, a positive review, water-heater failure, commission increases, tournaments, and inspection warnings can move several outcomes. Record events and repeat the comparison rather than automatically crediting the selected lever.
Read the dashboard in order
- Cash: can the lodge absorb a weak month, repair, or renovation?
- Rooms sold and occupancy: is premium demand reaching available capacity?
- ADR and RevPAR: is the rate-volume combination producing revenue?
- Contribution and break-even rooms: does each occupied room help cover fixed costs?
- Service capacity and lost bookings: is staffing or availability blocking demand?
- Condition, satisfaction, and reviews: is the premium promise being delivered?
- Cost shares and monthly profit: where did the revenue go?
Diagnose six connected patterns
- ADR up, profit down: lower occupancy or higher service and acquisition costs outweighed the rate gain.
- High occupancy, weak reviews: volume is stressing staffing, condition, or housekeeping coverage.
- Lost bookings, weak service capacity: recover coverage or room availability before adding inventory.
- Good reviews, low occupancy: test one positioning, price, or demand lever before expanding.
- Profit up, condition down: the run may be consuming the asset that supports the premium rate.
- High RevPAR, high channel-fee share: compare a direct-booking test before buying more demand.
Use a strict five-room expansion gate
The simulation charges $27,500 to add five rooms and recalculates staffing requirements for the larger inventory. That is a large 16.7% capacity increase for a 30-room lodge. Do not expand after one event-driven sellout. Require repeated comparable periods with profitable lost bookings, healthy service capacity, stable room condition and reviews, and enough remaining cash for the investment plus the operating burden.
Precommit this stop rule: do not add rooms when current inventory is underused or unavailable, service coverage is weak, condition is falling, demand depends on discounts or expensive channels, or the purchase removes the cash buffer. Test rate, direct mix, coverage, and room recovery first. A premium property is strongest when each existing room earns and protects its value.
Run a 50-minute classroom investigation
- Minutes 0–7: introduce occupancy, ADR, RevPAR, contribution, and why premium positioning raises both revenue opportunity and service expectations.
- Minutes 7–12: assign the same city, location, Boutique Lodge model, challenge, and decision question. Students predict the result individually.
- Minutes 12–23: teams run and record one baseline month, including any random event.
- Minutes 23–34: teams change one assigned lever and run a matched comparison.
- Minutes 34–43: students calculate occupancy and RevPAR changes, diagnose the primary constraint, and test all guardrails.
- Minutes 43–50: each team gives a claim-evidence-reasoning recommendation and names one limitation or follow-up run.
For a shorter lesson, use one saved or teacher-provided report and ask students to diagnose its rate, capacity, channel, or quality pattern. For shared devices, assign operator, recorder, calculator, and skeptic roles. For no-device access, use the worked 21-room, $189 ADR, 70% occupancy example above and ask what extra evidence is needed before recommending Premium Rates.
Use the lodging revenue management lesson for a full lesson sequence, the printable motel investigation for student evidence, and the simulation rubric for consistent assessment.
Keep the recommendation responsible
The simulator is a fictional learning model. It omits taxes, financing, insurance, labor agreements, accessibility requirements, safety codes, licenses, privacy obligations, consumer-protection rules, and many other real operating constraints. Do not treat its prices, staffing counts, costs, or forecasts as professional advice.
In a real lodging business, pricing and promotion should be truthful and transparent; required fees should not be hidden; accessibility and nondiscrimination obligations matter; guest and payment data require appropriate safeguards; and staff safety, wages, hours, and working conditions must follow applicable law. The page provides learning links, not incentives to click ads, and no advertising outcome is part of the simulation score.
Compare every Motel Simulator model
Boutique Lodge tests whether a small premium property can earn enough contribution to sustain its service promise. Compare it with four different demand, rate, quality, and capacity profiles:
- Budget Motor Inn — contrast premium positioning with the lowest-rate, lowest-quality starting model.
- Family Roadside Motel — use a balanced roadside model as a reference case.
- Airport Express Motel — compare the compact lodge with the largest room inventory.
- Beachside Motel — test another high-rate model under a larger, more seasonal profile.
See all model tradeoffs in the Motel Simulator comparison and classroom guide, or browse the complete business simulation strategy guide directory.