1. Frame the job and outcome
Define who the product serves, the repeated job, the business outcome and the most dangerous assumptions. Avoid treating an unprioritized feature list as a product strategy.
2. Prototype the experience and the unknowns
Use interaction prototypes to test flows and technical spikes to test risky APIs, data, performance or AI behavior. The goal is to reduce uncertainty before expensive implementation.
3. Design the system
Map application surfaces, identity, data, domain behavior, integrations, environments and operations. Architecture should preserve the likely change paths without designing an imaginary planet-scale system.
4. Engineer vertical slices
Build complete increments through interface, logic, data and integration layers. Vertical slices expose system risk earlier than building every frontend screen before connecting the backend.
5. Validate quality continuously
Testing includes behavior, integration, accessibility, security checks appropriate to the product, real-device/browser coverage and operational failure scenarios. Quality is a process, not a final QA week.
6. Release deliberately
Production release includes data/migration readiness, observability, rollback or recovery, support ownership, store/review workflows where relevant and an explicit launch checklist.
7. Learn from real behavior
Analytics, support signals, reliability and user research should shape what happens next. A shipped roadmap is not proof that the product should keep following the original plan.