What's the right caseload size?
There is no magic number, and anyone who quotes you one is guessing. The right caseload depends on two things: how much attention your members actually need, and how much of your team's day is eaten by work that is not member-facing.
Someone carrying 150 low-need members on an automated platform can deliver more real support than someone carrying 60 high-need members buried in manual admin.
Tier your members by need, not evenly
The single biggest caseload lever is triage. Sort members into high-, medium-, and low-touch tiers by risk and readiness, and concentrate your team's live time where it changes outcomes.
High-need members get real one-to-one time. Low-need members get lighter, mostly automated support that still keeps them moving.
Automate the low-touch load
Once members are tiered, automation carries the bottom of the pyramid. Reminders, progress tracking, check-ins, and content delivery run themselves, so your team spends its hours on the members who need a person.
This is also what protects quality as caseloads grow. In a controlled study of 300 non-incentivized participants:
The technology did not replace the human. It let the human reach further.
Signs a caseload has grown too big
Watch the early tells:
- Follow-ups slipping
- Completion rates drifting down
- Members going quiet between visits
- Staff triaging by whoever emails loudest instead of who needs help most
Those are capacity warnings, and they show up in your data before they show up in an exit survey. If your platform cannot show you completion and engagement by team member, you are blind on the one thing that predicts both outcomes and burnout.
Quality holds when the system supports it
Bigger caseloads do not have to mean worse care. Across roughly 700 participants and 6,700-plus sessions, Avidon-supported programs averaged 4.7 out of 5.0.
Right-size the caseload, tier the members, automate the busywork, and the relationship that drives outcomes stays intact. In one 40,000-employee health system, moving a program off manual administration cut its cost from more than $37,800 to about $5,000 and avoided nine additional hires, freeing the existing team to carry more without working longer.
