Problem guide
How to reduce software delivery risk before build.
The most expensive software risks are often not coding risks. They are misunderstood intent, hidden exceptions, unclear workflows, weak adoption assumptions, and premature scope commitments.
Where delivery risk hides
Delivery risk often hides inside agreement. Stakeholders approve a requirement because every person imagines a slightly different future system. The gap does not become visible until the system behaves.
RDD treats that gap as the first thing to investigate. A team builds a narrow candidate reality, lets real stakeholders operate it, records discrepancies, and decides what should change before engineering commitment.
A practical risk-reduction sequence
- Name the decisionIdentify the commitment that would be expensive to reverse.
- Build the smallest candidate realityMake the workflow experienced enough to reveal disagreement.
- Run a Reality LoopPut the candidate in front of the people who carry operational knowledge.
- Record the evidenceSeparate accepted behavior, rejected alternatives, open risks, and required checks.
- Freeze only what survivedMove a selected slice into a delivery baseline before Build to Deliver starts.
What this changes
The goal is not to make production engineering casual or cheap. The goal is to protect production engineering from starting with avoidable ambiguity.
Teams still need architecture, security, QA, accessibility, observability, DevOps, integration, and governance. RDD improves the inputs those disciplines receive.