Industry: Multi-location specialty healthcare
Company size: 65 locations (expanded to 200+)
Role: VP of Revenue Operations
Engagement type: Internal operator / full-time leadership
The Problem
A regional specialty healthcare organization had a proven model at 65 locations — strong brand, reliable lead flow, and a scheduling team that had been optimized over several years. The problem: leadership had committed to aggressive expansion, adding more than 130 net-new locations over 18 months.
At 65 locations, conversion was above 60%. The risk was well-understood: every previous expansion attempt at the organization had caused conversion rates to slip as new markets came online with untrained staff, inconsistent workflows, and no centralized visibility.
The question was not whether to expand — that decision was made. The question was how to expand without destroying the revenue cycle performance that made the model work.
The Approach
The core insight was that the existing conversion performance was mostly local — it lived in the habits of experienced schedulers, in informal knowledge passed between team members, and in the judgment calls of long-tenured managers. None of it was documented, standardized, or transferable at scale.
Phase 1 — Codification (months 1–3)
- Conducted a structured audit of the top 20% of scheduling locations by conversion rate
- Identified the specific call-handling patterns, follow-up sequences, and objection responses that distinguished high-performing locations from average ones
- Translated those patterns into a standardized playbook: call flows, objection scripts, follow-up cadences, and escalation protocols
- Built a training curriculum that could onboard a new scheduling team in 3 weeks instead of 3 months
Phase 2 — Centralized infrastructure (months 2–5)
- Migrated scheduling operations to a centralized lead management platform with real-time visibility across all locations
- Implemented rep-level and location-level conversion dashboards accessible to both schedulers and regional leadership
- Built automated follow-up sequences that triggered on inquiry receipt, reducing the manual burden on new locations
- Established a QA scoring framework applied consistently across all locations — new and existing
Phase 3 — Expansion rollout (months 3–18)
- Applied the standardized onboarding curriculum to every new location before opening
- Used centralized dashboards to identify underperforming new locations within the first 30 days and intervene with coaching before the patterns set
- Built a regional manager playbook for ongoing performance management that didn't require headquarters involvement for routine issues
The Results
| Metric | Before Expansion | After Expansion (200 locations) | Change |
|---|---|---|---|
| Lead-to-appointment conversion | 60.2% | 61.8% | +1.6pp (maintained through 3× growth) |
| New location ramp time | 90+ days to 55% conversion | 28 days to 58% conversion | -62 days |
| Locations at 60%+ conversion | 41 of 65 (63%) | 128 of 200 (64%) | Parity maintained at scale |
| QA scoring coverage | 40% of locations | 100% of locations | Full coverage |
The organization expanded from 65 to 200 locations without the conversion erosion that had characterized previous expansions. New locations hit performance benchmarks faster than established locations had historically taken to reach the same level.
What Made It Work
Most multi-site expansion failures are really information failures. Leadership doesn't know which locations are struggling until the damage is already done — months into underperformance. The centralized dashboard changed the feedback loop from quarterly to daily, which meant coaching happened before problems became habits.
The playbook codification was uncomfortable for some senior schedulers who felt it reduced their autonomy. The reframe that worked: the playbook captures what *they* were already doing well. Standardizing it is how the organization gets 200 locations performing like the best 20.
What This Looks Like for Your Organization
If your multi-location practice is planning to expand — or if you've already expanded and new locations are consistently underperforming established ones — the gap is almost always the same: the knowledge that makes your best locations work isn't written down, and the visibility to catch underperformance fast enough to correct it doesn't exist.