Predictive analytics for trial success probability with milestone forecasting.
The Trial Success Forecast module uses predictive analytics and machine learning to forecast trial success probability, enrollment completion dates, and milestone achievement likelihood. It analyzes historical trial data, current performance metrics, risk profiles, and external factors to generate probabilistic forecasts that help sponsors make informed go/no-go decisions.
Explore the module's workflow through interactive interface mockups showing each step of the process.
Real-time trial success probability with contributing factors and trend analysis.
Success Probability
78%
+4% vs last month
Enrollment Forecast
On track — Dec 15
92% confidence
Timeline Risk
Low
No critical delays
Go/No-Go
GO
All indicators positive
Detailed breakdown of factors influencing the success forecast with weight and trend.
Predicted milestone achievement dates with probability and risk indicators.
| Milestone | Forecast Date | Probability | Risk Level | Confidence |
|---|---|---|---|---|
| 50% Enrollment | Sep 12, 2024 | 94% | Low | High |
| 75% Enrollment | Nov 08, 2024 | 87% | Low | Medium |
| Last Patient In | Dec 15, 2024 | 82% | Medium | Medium |
| Last Visit | Jun 20, 2025 | 78% | Medium | Medium |
| Database Lock | Jul 30, 2025 | 75% | Medium | Low |
How Trial Success Forecast integrates with other CTMS modules in the platform.
AI predictions feed success forecasting
Milestone forecasts compared with planned dates
Safety profile impacts success prediction
Enrollment forecast feeds success prediction
Success forecasts roll up to portfolio view
Risk profile adjusts success probability