Profitable office businesses

Current office-business roster and version baseline

Big Ambitions 1.0/build 3674 has five standard office service categories: Law Firm, Graphic Designer, Web Development Agency, Travel Agency, and Event Planning Agency.

Official EA 0.11 notes added Travel Agencies and Event Planning Agencies. They also state that these employees serve customers digitally from office buildings and that Law Firms, Graphic Designers, and Web Development Agencies received a profitability boost.

The new roles have explicit workplace-demand examples: Desk Globes for Travel Agents and Desk Calendars for Event Planners. Confirm every hire’s live demands because individuals can add other requirements and later patches can change item names or effects.

Current Workshop business filters independently enumerate the five categories and classify them as office layouts. This is useful reference evidence, not proof that an uploaded blueprint is compatible, complete, unmodded, or profitable.

Build 3674 is the operational baseline. Its hotfix corrects employee-quit states that could disrupt scheduled systems and fixes MarketInsider opening to the current neighborhood. Exclude a bugged staffing day from an office-demand test.

Reject Early Access profit screenshots and claims of a fixed best office. The June 2026 rebalance alone makes older earnings incomparable, while district, price, traffic, demand, providers, skill, wage, schedule, and capacity vary by save.

Use F1 and live BizMan requirements for current workstation capacities and service behavior. This guide supplies formulas and test methods, not hidden constants.

Understand the office customer model

Office clients are handled digitally, but offices remain market-facing businesses. Desks create service capacity; they do not create demand.

A current developer reply confirms traffic index still matters for office businesses even though customers do not physically queue in the same retail pattern. Include traffic in location selection and marketing analysis.

Realized clients are constrained by neighborhood demand, provider count, traffic and promotion, price acceptance, opening hours, premises capacity, valid staffed workstations, and any required employee or furniture state. Do not multiply these factors into an invented exact formula.

Treat premises customer capacity as an upper bound. The number of desks should not automatically equal the lease maximum. Start with fewer complete staffed stations and add when repeated hours approach their usable limit.

Digital handling reduces the importance of customer aisle choreography, but physical validity still matters: specialists need correct desk, chair, computer, access, bathroom, cleaning, and demanded objects. The player also needs a workable office for setup and troubleshooting.

Use BizMan Insights and Yesterday to record clients by hour. Compare those clients with staffed valid seats. Low utilization identifies idle payroll but does not by itself distinguish weak demand from bad price, traffic, or promotion.

Do not assume offices are passive money printers. Their largest variable burden is often specialist labor, which is paid for scheduled hours whether or not a digital client arrives.

Select category and neighborhood together

An office category is viable only in a specific neighborhood and provider state. Evaluate the pair rather than choosing one universal winner.

Open MarketInsider in the candidate neighborhood and record demand and provider count for each of the five office services. Build 3674 fixes incorrect neighborhood opening, but still write the displayed name.

Developer guidance says adding a provider changes demand. The player’s own office counts toward the market, so opening several identical agencies in one neighborhood can cannibalize opportunity.

Record population mix and price context. Developer explanations distinguish working, middle, and upper groups and indicate different above-market price tolerance. Use this to order price tests, not to impose a fixed markup.

Record traffic index for each candidate premises. A lower-rent low-traffic office may require more marketing and still have a lower exposure ceiling. A high-traffic premium is worthwhile only when added contribution and marketing savings exceed rent.

Compare categories on setup cost, specialist wage, employee-demand items, viable hours, local providers, and expected contribution per occupied seat. Do not compare only headline service price.

Keep a rejected-candidate log. Demand and providers can change; a weak category today may become viable after a rival closes or after the player diversifies into another neighborhood.

Choose the premises and target size

Office premises should be sized to conservative client demand, not to ambition or the maximum number of desks that physically fit.

Record shell code, premises capacity, rent, deposit, usable floor, doors, bathroom, installation cost, travel convenience, and target specialist seats. Verify a blueprint matches the exact shell and current version.

Set initial target T to a modest number of simultaneous staffed seats supported by conservative demand. The operational upper bound is min(premises capacity, valid staffed service stations, and market-realized clients).

Calculate complete launch cash: deposit, license, workstation furniture, employee-demand objects, bathroom and cleaning, recruitment, training, marketing, payroll reserve, and contingency. Offices carry little retail stock but can carry heavy payroll.

Leave modular expansion positions for another desk group without blocking access. A small office that must be rebuilt after the first successful week loses time and installation money.

Do not pay for high street traffic automatically. Estimate the extra weekly rent against saved marketing and added occupied seat-hours. Traffic matters, but the marginal economics decide.

Scenario: a 50-cap office has strong demand but launch capital covers only two weeks of fifty specialist wages. Start with a valid smaller team, learn utilization and price, then expand from retained cash.

Build valid specialist workstations

Every active seat needs the complete live workstation chain and enough space for the employee’s demands.

Use F1 to identify current desk, chair, computer, and any category-specific object requirements. Place the chair and computer in valid orientation and confirm the specialist can be assigned.

EA 0.11 explicitly adds Desk Globes for Travel Agents and Desk Calendars for Event Planners as employee-demand items. Purchase enough only for employees who require them, and verify the object belongs to the correct office.

Reserve wall and floor space for other employee demands before hiring a large roster. A compact row of desks can become invalid when demanded furniture blocks chairs or paths.

Provide current bathroom and cleaning requirements. An office without customers walking visibly can still suffer from employee satisfaction and cleanliness problems that destabilize schedules.

Label each station with seat number, specialist, skill, wage, and schedule block in the management ledger. Empty valid desks are expansion capacity; staffed desks are payroll.

Test one complete shift while present, then leave the office and compare simulated results. Any station that cannot be assigned must be repaired before collecting demand data.

Hire for fit, then train selectively

An office specialist is a recurring cost profile: skill, wage, availability, demands, and schedule fit must be evaluated together.

Recruit the exact role through the current agency shown by F1 or the jobs reference. Compare candidates on skill, wage, full-time or part-time preference, requested hours, days, and workplace demands.

Low skill may reduce service effectiveness or require training, while a high wage raises break-even utilization. Do not select only the highest skill without costing the weekly schedule.

Calculate weekly direct labor for each seat as hourly wage times scheduled hours. Add insurance allocation, training, and any support cost. Use actual workers, not an average wage that hides one expensive specialist.

Train when expected contribution improvement and roster stability justify cost and absence. Schedule replacement coverage or reduce open seats while training; otherwise the demand graph records a capacity interruption.

Use HR plans when roster scale makes manual satisfaction, training, and insurance costly. Check the live HR capacity rather than relying on an old guide. A Headquarters is overhead and should be allocated to its offices.

Maintain a hiring stop rule: do not add another specialist until repeated valid hours approach staffed capacity and the expected added contribution exceeds the full seat cost.

Schedule from the hourly client curve

Opening hours and specialist shifts should follow measured client contribution by weekday, not a generic nine-to-five assumption.

Start with a broad but affordable candidate schedule and complete coverage. Use BizMan, Insights, Yesterday to copy hourly clients for every weekday. Developer replies establish that time patterns vary by business.

For each hour record clients, staffed seats, revenue, direct wages, promotion, faults, and satisfaction. Seat utilization = clients divided by staffed valid seats, adjusted if live F1 shows a different service cadence.

Estimate seat-hour contribution = service revenue minus specialist wages and incremental support allocation. Keep an hour when repeated contribution clears a chosen uncertainty buffer.

Stagger shifts around peaks. A large all-day team wastes payroll in weak boundaries. A small core plus peak specialists often provides better evidence and economics, provided handoffs leave no capacity gap.

Separate weekdays and weekends. Headquarters may be closed on weekends, but revenue offices follow their own business schedule. Verify each employee’s requested hours and days.

Change one boundary or one staffing block at a time. A simultaneous price and schedule change prevents attribution.

Price services with contribution tests

A high service fee does not guarantee profit, and a low fee does not guarantee enough clients. Test local price response.

Record P1, proposed P2, direct cost C where meaningful, baseline clients Q1, and test clients Q2. Gross contribution improves when (P2-C)Q2 exceeds (P1-C)Q1.

For a price increase with positive margins, required retention is Q2/Q1 greater than (P1-C)/(P2-C). For services dominated by scheduled labor, also compare total office profit because the wage block may not change with one fewer client.

Use a small controlled price ladder over matched weekdays. Hold promotion, hours, staffed seats, and traffic constant. Do not test during training, absence, or a new-office ramp.

The 1.0 Pricing Manager can suggest and apply prices across a neighborhood, but higher skill only improves accuracy. Pilot uncertain suggestions locally and keep rollback prices.

Price satisfaction is a diagnostic signal, not the objective. Measure client retention, contribution, and utilization. A green price can leave idle capacity; a warning price can still be profitable if retention is sufficient.

Restart the baseline after provider entry, own-office expansion, or a material promotion change. The prior price curve belongs to a different market.

Marketing and traffic

Marketing supplements traffic; it does not replace a valid business, and its value must be measured in occupied profitable seats.

A developer approximation gives promotion = min(100, traffic index plus marketing score divided by two). Use it to compare campaign needs, while confirming the live UI after patches.

Compute the marketing score needed for 100 as max(0, two times (100 minus traffic index)). If the result exceeds the available campaign ceiling, the site may not reach 100 through marketing alone.

Before buying a campaign, record baseline traffic, promotion, clients, utilization, and contribution. Add one campaign or package, then compare matched periods after it becomes active.

Incremental marketing return = added service contribution minus campaign cost and any added staffing. If the campaign sends demand into a full staffed-seat ceiling, add capacity or stop paying for unreachable traffic.

EA 0.11 improved marketing UI by showing effectiveness before purchase and allowing multiple campaign types in one call. Record the displayed current effectiveness rather than using old tables.

Do not buy maximum marketing to rescue wrong pricing, missing workstations, absent specialists, or poor hours. Diagnose operation first.

Capacity scaling by occupied seats

Scale only when clients repeatedly use the capacity already paid for and the next seat’s contribution exceeds its full cost.

Define active capacity as valid staffed seats, capped by premises capacity. Empty furniture is not active; a scheduled worker at an invalid desk is not valid.

Observe peak hours across comparable weekdays. If clients repeatedly approach active capacity while demand, promotion, price, and staffing are healthy, test one additional specialist during those hours.

Incremental seat profit = added service revenue minus the new worker’s wage, insurance allocation, training, workstation amortization, and any extra support. Include a whole shift when scheduling cannot add one isolated hour.

After adding the seat, compare total clients and contribution. If clients barely change, remove the shift and inspect market constraints. Do not keep payroll because the building has room.

When active seats approach premises capacity and incremental demand remains profitable, model relocation. Include new rent, installation, downtime, hiring, marketing, and management steps.

Scenario: eight staffed seats handle eight clients in each peak hour, but only two off peak. Add a ninth only in the peak block if scheduling permits; do not hire nine all-day workers.

Diversify instead of self-competing

EA 0.11’s two new office categories make it easier to expand an office portfolio without adding another provider to the same service market.

Before duplicating a category in one neighborhood, snapshot existing office demand, providers, clients, price, and contribution. Your new branch changes provider count and may redistribute demand.

Compare opening another same-category office with a Travel Agency or Event Planning Agency, or with entering another neighborhood. Include license, specialist wages, demand objects, marketing, and management overhead.

Measure post-entry combined contribution across all related offices. A new branch is successful only if portfolio contribution rises after cannibalization and step costs, not merely because its own revenue is positive.

Different categories can share some blueprint logic but not employees, demand items, service prices, or market curves. Validate each office’s live requirements.

Diversification can reduce concentrated demand risk, but it creates training, recruitment, and scheduling complexity. Add Headquarters capacity only when the recurring workload justifies it.

Keep market snapshots dated. A balanced office portfolio is not permanent if rivals enter or demand shifts.

Office financial model

A disciplined office model connects client volume to specialist hours, fixed site costs, marketing, and headquarters overhead.

Weekly revenue = sum over hours of clients_h times realized service price_h, adjusted only for the live service accounting shown by BizMan. Do not multiply by a guessed service duration.

Direct labor = sum over employees of wage times scheduled hours. Add cleaning and any required support, insurance, training, recruitment, and temporary coverage.

Weekly operating profit = revenue minus direct labor minus marketing minus rent minus support minus allocated Headquarters overhead minus other displayed costs. Keep financing and one-time fit-out visible separately.

Break-even clients = weekly fixed and scheduled cost divided by average contribution per client. Break-even utilization = break-even clients divided by total available staffed service slots, using live cadence.

Use conservative, base, and optimistic cases for client volume. The site should retain cash under the conservative ramp case. Avoid citing another player’s absolute daily profit because their wages, district, version, and scale differ.

Update the model after every full valid week. Replace assumptions with measured clients, wages, prices, and campaign costs, and explain any remaining estimate.

Management-screen record sheet

Record the exact fields needed to distinguish weak demand from idle staffing, poor pricing, bad promotion, or mechanical failure.

Identity fields: build, date, weekday, hour, business category, neighborhood, address, shell, premises capacity, traffic index, test ID, and whether the player was present.

Market fields: demand, provider count, current price, Pricing Manager suggestion and skill, price satisfaction, promotion, campaign type, and competitor or own-entry event.

Capacity fields: installed valid desks, staffed seats by hour, specialist skill and wage, opening hours, absence, training, business warnings, bathroom, cleaning, and demanded objects.

Outcome fields: clients by hour, utilization, revenue, direct wages, marketing, rent, insurance, HQ allocation, total profit, and contribution by tested block.

Evidence-quality fields: valid, capacity-capped, staff-limited, price-changed, promotion-changed, new office ramp, employee fault, build-3674 transition, or too-small sample.

Decision fields: keep, change hours, reprice, market, add or remove seat, train, relocate, diversify, close, and next review trigger.

Troubleshooting decision tree

When an office loses money or serves no clients, check mechanical completeness, staffing, market, and economics in order.

First verify category license, opening hours, every required object, valid specialist assignment, desk access, bathroom, cleaning, employee demands, and absence or training. Repair and discard the contaminated observation.

Second compare clients with active staffed seats and premises capacity. If at capacity, scale one seat; if seats are idle, do not add desks.

Third verify build 3674 MarketInsider neighborhood, demand, providers, traffic, promotion, price, and satisfaction. If any changed, start a new baseline.

Fourth calculate seat-hour and weekly profit with actual wages, insurance, marketing, rent, and HQ allocation. Reduce boundary shifts or expensive idle specialists before abandoning the category.

Fifth test one corrective variable: price step, campaign, schedule block, worker skill, or location. Keep all others stable and compare matched weekdays.

If zero clients persist despite complete operation and plausible market settings, save, reload, reproduce on a clean day, capture F1 and BizMan screens, and file an F2 report.

Final office-business audit

An office is ready to scale only after category, site, stations, roster, market, economics, and evidence all pass.

Confirm the category is one of the five current standard office types and its live F1 requirements are met. Travel Agent globe and Event Planner calendar demands are checked per employee.

Confirm the exact neighborhood snapshot, provider count, traffic, promotion, price, and population context are current under build 3674. The site has enough runway and a conservative break-even below feasible clients.

Confirm every staffed seat is valid, assigned, and scheduled only where evidence supports it. Training, insurance, employee demands, cleaning, and Headquarters allocation are costed.

Confirm at least one full valid week of hourly clients, utilization, contribution, satisfaction, and faults. Price, marketing, and staffing tests were run separately on matched weekdays.

Confirm expansion follows repeated saturation and full incremental-seat profit. Portfolio expansion includes cannibalization and compares a new category or district rather than assuming duplication.

Archive the source URLs, build, raw ledger, formulas, blueprint compatibility, accepted prices, schedule, staffing map, and review triggers. Reaudit after a patch, provider change, new branch, cost shift, or persistent utilization change.

Run a seat-by-seat acceptance test. For every scheduled specialist, verify correct business assignment, valid desk, chair, and computer, required demand objects, skill, wage, insurance, requested hours, and exact shift. Then compare scheduled seats with hourly clients. Mark each seat as core, peak, training cover, or unneeded. No worker should remain merely because the premises has an empty capacity number.

Run a market acceptance test across one complete valid week. Capture MarketInsider demand and providers before opening Monday, preserve price and promotion, and record clients by hour through Sunday. Recheck demand and providers after the week to detect a rival or own-entry change. If the market moved, retain the data but do not call it a clean office baseline.

Run a price-and-capacity consistency test. A proposed discount must have enough unused staffed seats and premises capacity to accept the required extra clients; a price increase must retain the quantity required by the contribution formula. When neither condition holds, keep the price or redesign capacity rather than accepting a manager suggestion for administrative convenience.

Run a payroll stress case. Assume the weakest valid client week repeats while every scheduled wage, insurance payment, campaign, rent charge, cleaning shift, and Headquarters allocation remains due. Calculate burn and runway. If one weak week forces emergency borrowing, reduce the initial roster or increase reserve before scaling. Office inventory is light, but specialist payroll makes liquidity risk immediate.

Run a category-diversification check. Compare a second identical office with one of the other four current categories and with the same category in another neighborhood. Use current demand, providers, specialist wages, demanded objects, price tests, and management steps. Choose from combined expected contribution and downside resilience; do not let a copied blueprint decide the portfolio.

Run an operational rollback drill. Preserve the last accepted schedule, prices, campaign, employee assignments, and workstation map before a major change. If clients collapse, restore one control set at a time and observe matched days. This isolates whether the failure came from market conditions, staffing, price, promotion, or physical validity instead of provoking several new changes.

Finally schedule a thirty-day management review in game terms. Compare opening assumptions with measured clients, seat utilization, contribution, employee skill, wage burden, provider count, traffic, and promotion. Close unneeded shifts, train only where evidence supports it, and expand only repeated profitable peaks. The review converts a successful launch into a controlled operating system rather than a permanently oversized office.

Create a category-specific operating card for each office rather than reusing one generic benchmark. The card lists specialist role, live workstation requirements, employee-demand objects, premises cap, active seats, opening-hour curve, demand, providers, traffic, price range tested, campaign effectiveness, average client contribution, and break-even utilization. Compare a Law Firm only with its own valid history unless the purpose is a fully costed portfolio decision.

Measure the cost of idle capacity explicitly. For every hour, idle seat-hours equal staffed valid seats minus clients served, floored at zero. Multiply each worker’s idle portion by the actual wage and add insurance allocation. This is not necessarily waste—a spare seat can protect service during random arrivals—but a persistent block identifies a schedule to trim. Track the change in served clients after trimming before making the reduction permanent.

Measure the cost of missed capacity separately. When clients equal active seats and the surrounding market indicators remain healthy, log a constrained seat-hour. Add one specialist only for repeated constrained blocks, then calculate the extra clients and contribution. This prevents a single busy hour from triggering an all-week hire and distinguishes genuine growth from normal daily noise.

For Travel Agencies and Event Planning Agencies, verify globe and calendar demands after every hire and blueprint installation. The official notes introduce those objects as employee demands, not generic production equipment. Record which employee requires which item, where it is placed, and whether satisfaction clears. Avoid purchasing one object per desk unless the live employee list actually justifies it.

Before approving scale, compare the office with a no-expansion control. Project the next four valid weeks using the present roster, price, campaign, and measured client curve, then compare that cash path with the proposed new seats. Include hiring delay, training, insurance, workstation cost, and weak-hour wages. Expansion passes only when the conservative incremental path remains positive and cash never falls below the protected operating reserve.

Close the audit with a reproducibility packet: current F1 requirement notes, MarketInsider neighborhood screenshot, BizMan hourly clients, employee and workstation map, price history, campaign state, profit calculation, and build number. Another player should be able to understand what was tested without accepting any claimed universal earnings figure.