Capacity planning

Start with a common unit

Demand can be expressed in clients, visits, service hours, provider hours, or time slots. Choose the unit that matches the decision. A monthly client count hides weekday, location, service, and staff-role constraints.

For each demand row, record service, setting, modality, preferred times, clinical recommendation, authorization state, location, access needs, start window, and uncertainty. Keep waitlisted and currently served demand separate.

Build supply from real calendars

Start with each worker’s available work time. Reserve required supervision, training, documentation, travel, meetings, paid breaks, leave, and other duties. Then apply qualifications, service and client match, payer status, geography, setting, and schedule.

Federal DOL hours-worked guidance explains general rules such as job-site-to-job-site travel during the workday being work time. Wage-hour analysis remains separate from whether a payer reimburses that time.

Use hard gates before arithmetic

A nominally open hour becomes usable only when every required gate clears. Common gates include professional authority, competence, enrollment or payment path, authorization, supervision, client availability, safe and accessible setting, travel feasibility, and documentation systems.

An expired credential or unavailable supervisor can reduce capacity to zero for the affected configuration. Averaging it with unrelated capacity hides the hold.

Protect clinical decision rights

The current BACB Ethics Code addresses competence, available resources when accepting clients, supervision, client involvement, risk, and continual evaluation for covered behavior analysts. The BACB also states that it has no separate jurisdiction over organizations or corporations.

Operations can surface a feasible schedule. An appropriately qualified clinician decides whether a service, intensity, setting, and proposed team fit the person.

A fictional center example

A fictional center plans one afternoon service. Four technicians each have 20 weekly work hours, for 80 gross hours. Across the four calendars, 12 hours are reserved for supervision, documentation, training, and paid transitions. Two staff each have a further four-hour payer-specific hold.

Usable supply is 80 − 12 − 8 = 60 hours. Five current clients need 48 feasible hours in matching time slots, leaving 12 hours. A waitlisted client requests 15 hours, so the schedule has a three-hour shortfall. Counting the client as “one opening” would miss the time mismatch.

Model facilities and travel

Room limits, shared equipment, privacy, accessibility, school access, home locations, parking, and travel time can constrain capacity. Use time-of-day travel assumptions and allow transition time between sessions.

For telehealth, verify professional location rules, client location, technology, privacy, emergency plan, communication access, payer requirements, and clinical suitability for the specific encounter.

Test uncertainty before releasing starts

Run a base case and plausible stress cases: one absence, supervisor leave, higher travel, one room closed, lower client availability, or delayed payer evidence. Show which clients and services become affected.

Set stop rules. Pause new start promises when a required role, site, supervision path, or evidence source lacks sufficient margin. Route existing care through qualified continuity review.

Version the model and its decisions

Record the model version, owner, source dates, approval, horizon, and assumptions. Keep the input snapshot used for each start or hiring decision. A forecast rebuilt later from changed data should not rewrite what leaders knew at the time.

Review forecast accuracy by comparing release-ready, scheduled, and delivered hours. Classify differences such as staff leave, client changes, credential delays, travel, site closure, or flawed assumptions. This turns misses into better inputs.

Connect hiring lead time to the forecast without treating a candidate as capacity. Recruiting, acceptance, onboarding, clearance, credentialing, training, supervision, and client match remain separate states. Count usable supply only after the gates needed for the intended assignment are effective.

Measure the plan against delivery

Useful measures include release-ready hours divided by demanded hours, scheduled hours divided by release-ready supply, delivered hours divided by scheduled hours, unmet demand by age, and hours held by gate. Define every cohort, period, and unit.

The CASP Organizational Guidelines public overview spans business, clinical operations, and risk management. The model above is Finni’s editorial implementation framework.

Questions owners should ask

Ask which hours remain after reserved duties, which gates are hard stops, and who owns each decision. Check whether the model double-counts one worker, room, supervisor, or time slot.

Review assumptions with operations and clinical leaders before adding starts. Track model error and revise the inputs rather than quietly overriding a constraint.

Record the reason whenever leadership overrides a soft planning assumption.

Before releasing a new opening, name the client window, qualified role, supervisor, site, access support, and evidence dates that make it usable. A gross-hour surplus without those matched components remains forecast capacity.