Measuring Compliance
Study snapshot
Ongoing trial view: where you are today, where you want to be, and which levers you can realistically turn now.
Typical eCOA ranges will appear here once you pick an indication.
Current performance
Live mode: use observed completion in the active study. In design mode: you can leave this blank to let the model estimate a baseline.Targets
Patient & task burden
Support & risk profile
Frequent tech issues
Reminder fatigue
Sites are overloaded
Language / region complexity
Drop-off after week 4–8
Inconsistent wearable use
Select an issue (or concern in design mode) to see concrete mitigation ideas.
Levers you can turn
Live mode: levers you can change now. Design mode: levers you bake into protocol and vendor scope.Where you are → where you can be
Designed for live studies with eCOA and wearables. No protocol rewrite; only operational levers you can change now.
eCOA: --
Wearables: --
Enter your current completion and targets to see a path from today → target → with levers.
Current state
Waiting for inputs…
Risk & focus
Once you recalculate, we’ll highlight where risk actually lives (burden, tech, sites, or support) and which two levers have the biggest near-term impact.
Patient burden
Calculated once you run a scenario.
Site burden
Calculated once you run a scenario.
How you compare to similar studies
Uses typical eCOA completion ranges by indication from published studies and vendor benchmarks.eCOA: current vs target vs with selected levers
Live mode: middle bar shows what happens if you implement selected levers in the active study. Design mode: it shows predicted completion with those levers.Engagement funnel snapshot
Simple funnel based on your inputs: enrolled → activated → mid-study → completed (eCOA).Adherence curve (12-month view)
Solid line = baseline curve; dashed line = curve assuming your selected levers are in play.Burden vs healthy range
Shows how PRO & wearable burden compares to a “healthy” band for long-term engagement.Levers & potential uplift (eCOA)
Uplift is approximate, based on meta-patterns (precision trials, DCTs, behavioural science). It’s directional, not a guarantee.What if we only change one lever?
Predicted eCOA if you turn on each lever by itself, compared with no levers and with all selected levers.Operational cost impact
Estimated cost difference between status quo and applying selected levers. Uses industry averages.ROI summary
Recalculate to populate cost/benefit.