CALCULATOR / For research teams

Recruitment forecast.

Model your recruitment funnel, compare scenarios, and see what capacity changes.

01 / YOUR ASSUMPTIONS

Build the funnel.

Start with aggregate data from your site. The initial values are illustrative.

Unique leads per active month

Deduplicate across channels. This model assumes a fresh monthly supply.

Contact rate

Of unique leadsPrescreen fit

Of people reachedScreening attendance

Of prescreen-fit peopleScreen failure rate

Of completed screeningsEnrollment conversion

Of those passing screeningScreening slots per month

Your actual operational capacity.

Planning window

months

Activation delay

months

Enrollment target

02 / YOUR WORKING FORECAST

See what’s realistic.

Expected enrollments78.8Across 6 months, including activation delay

Per active month15.8

Target gap0

Screening capacity is limiting this forecast. Demand is 28.1 visits per month, against 25 available slots.

Where people move through the funnel

Unique leads

120

Reached

Prescreen fit

35.1

Screened

Enrolled

15.8

Three views of the same plan

Conservative56.6expected enrollments

Base78.8expected enrollments

Optimistic78.8expected enrollments

Conservative and optimistic scenarios change lead volume and contact rate by −20% and +20%. Other assumptions stay fixed. These are sensitivity scenarios, not probability estimates or confidence intervals.

Monthly enrollment plan
Month	Screenings	Enrollments	Cumulative
1	0	0	0
2	25	15.8	15.8
3	25	15.8	31.5
4	25	15.8	47.3
5	25	15.8	63
6	25	15.8	78.8

Expected values may be fractional. Delayed screenings are not carried forward. Post-enrollment retention, a finite patient pool, seasonal variation, and competing trials are not modeled. Validate these assumptions with your study team.

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