Evidence Engine built Evidence Engine, a web‑based Assumption Assurance platform that captures project assumptions, links them to evidence, and highlights drift through confidence scoring and visual alerts. The solution focuses on making assumptions explicit, traceable and continuously reviewed rather than static entries in documentation.

Assumption Drift Canvas focused on collaboratively mapping how critical assumptions emerge, drift and impact delivery confidence across projects. Using a shared visual workspace, the team structured the logic linking assumptions, confidence, external signals and portfolio‑level assurance to support earlier, clearer decision‑making.

Assumption Assurance Pitch presented a concept‑led solution for managing critical assumption drift, focusing on clearly communicating the problem, proposed approach and value to portfolio leaders. Through a structured pitch and supporting materials, the team outlined how assumptions could be surfaced, monitored and reviewed to provide earlier...

Assumption Drift Monitor explored the use of live external data feeds to detect early signs of critical assumption drift. By integrating an RSS feed as a proxy for external signals, the team demonstrated how changing market, policy or industry conditions could be automatically surfaced and linked back to project assumptions.