Published October 12, 2026
Distributed mobile-home operations combine recurring administration with volatile events: move-ins, utility outages, title exceptions, vendor access failures, inspections, storm preparation, acquisitions, and sales leads. A capacity model should represent the work mix and service consequences rather than assume every ticket consumes the same effort. This framework supports staffing scenarios, not guaranteed productivity targets.
Define service families and boundaries
Group work into stable families such as resident intake, maintenance coordination, leasing and sales administration, transaction documents, compliance milestones, vendor operations, reporting, and emergency support. For each family, define entry, completion, exclusions, decision authority, and the system of record. Separate administrative handling from licensed, field, legal, or managerial work.
Measure arrival and effort distributions
Collect arrivals by day and hour, active handling time from defensible samples, waiting dependencies, rework, reopen events, and seasonal patterns. Report ranges and percentiles rather than one standard time. Tag scheduled work, deadline work, and unpredictable events because each places a different demand on the team.
Account for skill and concurrency
Map which roles can perform, review, or approve each step. Some work can proceed in parallel; other work waits on a single authorized reviewer, field visit, agency, or resident response. Model those bottlenecks explicitly. A general headcount ratio can hide a specialist queue that controls the entire cycle.
Build scenario assumptions
Create baseline, high-arrival, absence, portfolio-growth, and disruption scenarios. State productive-time assumptions, coverage hours, handoff cost, training time, quality review, meetings, and planned leave. Do not assume nominal hours are fully available for queue work. Version every assumption so later comparisons remain intelligible.