assumption-scan

To identify hidden assumptions in a technical design, systematically categorize them into explicit, implicit, environmental, performance, team knowledge, temporal, and dependency types to uncover untested beliefs before production incidents occur.

Assess technical debt and fragility by quantifying the risk of each assumption based on its likelihood and impact, which helps surface fragile dependencies and untested beliefs before they cause production incidents.

Mitigate high-risk assumptions before deploying a new microservice by applying recommended strategies like validation, fallback, or redesign to address potential failure points such as network latency and data consistency proactively.

Yes, you can use an assumption scan for dependency risk assessment to review downstream service availability and data consistency, ensuring potential failure points are addressed proactively during design review.

Perform a risk assessment on technical proposals and plans before deployment to facilitate proactive risk management, ensuring robust system design by uncovering untested beliefs and fragile dependencies early.