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About
Webinar
Stop Guessing, Start Enrolling
The webinar explores the key limitations and downstream impacts of an oversimplified enrollment forecasting and tracking model. In conversation with leaders from CSL Behring and Merck, we share best practices on how to properly use benchmark studies, model different scenarios based on inputs (not outcomes), diagnose enrollment delays, and choose the right combination of interventions to get enrollment back on track.
Watch the recording
Free. The full session plus the Q&A, straight to your inbox.
Can't make it live? Register anyway — we'll send the recording and the forecasting worksheet.
Practitioners who defend these forecasts internally
Chris Conklin
Triathlete. Treats enrollment timelines the same way — pace it wrong early and the back half hurts.
Ed White
Loves dogs, trains, planes, and free boats. Ask him about the boats — there is an explanation.
Joseph Kim
Asks the question everyone in the room is already thinking. Collects enrollment horror stories.
Four things a real forecast does that a single curve can't
Use benchmarks that actually apply
How to select comparator studies with predictive value — and how to recognise when a benchmark is quietly setting you up to miss.
Model inputs, not outcomes
Build scenarios from site activation, referral volume, and screen-fail rates instead of back-solving a curve from the date you promised.
Diagnose the delay before you spend
Tell a site problem from a protocol problem from a funnel problem — the three look identical on an enrollment chart and need opposite responses.
Choose interventions in combination
What adding sites, expanding geography, amending criteria, and funding outreach each realistically buy you — and how they interact.
Bring the study that's behind
60 minutes, recorded. Watch it start to finish, or skip to the part that applies to you.
Watch the recordingOne email address. The link arrives immediately.
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