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Slow Unit Turns

Our unit turns and make-ready process take too long, increasing vacancy loss and creating coordination problems between maintenance, vendors, and leasing.

See the Fix Plan → Recommended work, priorities, timing and estimated investment.

What is usually causing this?

  • Unclear work-order priorities, ownership, and escalation rules
  • Weak technician scheduling, capacity planning, or vendor coordination
  • Inconsistent data, categories, response-time definitions, or reporting
  • Too much reactive work and not enough preventive planning
  • Poor coordination between maintenance, leasing, turns, and property management

What should you evaluate?

  • Confirm the current-state workflow, ownership, systems, data sources, and exceptions
  • Review backlog aging, response times, turns, technician capacity, vendor usage, and preventive-work mix
  • Measure the problem using a small set of operational and financial facts
  • Separate root causes from symptoms before recommending software, automation, or staffing changes
  • Identify the minimum set of process, data, technology, and control changes required
  • Define priorities, owners, sequencing, timing, and measurable outcomes

What should improve?

  • A clear diagnosis of the root problem and its immediate dependencies
  • Defined ownership and a practical operating workflow
  • A prioritized implementation plan with measurable milestones
  • More reliable management visibility and exception reporting
  • Less manual work, rework, and avoidable operating friction
  • Better backlog control, response performance, turn execution, and workload visibility

People also have these problems

Questions companies ask

What usually causes slow unit turns?

Slow unit turns usually come from weak coordination across move-out inspection, scope definition, materials, vendors, maintenance capacity, approvals, and leasing readiness. Delays compound when ownership is unclear or the team lacks one visible turn status.

How do I know whether this is a process, data, technology, or staffing problem?

Break the turn into stages and measure wait time versus active work time. Long queues between stages usually indicate process or ownership issues, unreliable status data indicates a data problem, and duplicate tracking across systems can indicate a technology gap. Staffing is the primary issue only when the workflow is controlled and demand still exceeds available capacity.

What should we evaluate before changing systems or adding people?

Review move-out inspection timing, scope approval, materials availability, technician and vendor capacity, scheduling, leasing handoffs, status reporting, and the reasons turns miss target dates. The goal is to identify the actual bottleneck before adding tools or labor.

What metrics should management use for unit turns?

Track average and median turn days, days by stage, units waiting for inspection or scope, vendor and technician cycle times, rework, ready-date accuracy, and the number of units that miss target completion dates.

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