Understand, reduce uncertainty, then develop
We start with the areas that could make the project fail: an ambiguous business rule, an external dependency, a data migration, data volumes or a hosting constraint.
Once these risks are clarified, the project is broken down into testable pieces. Structural choices are documented early enough to keep a temporary decision from becoming a permanent architecture.
1. Scoping
Objectives, users, data, constraints and success criteria.
2. Architecture
Data model, responsibilities, interfaces, integrations and security.
3. Build
Development in controllable increments rather than a long period without a usable version.
4. Verification
Functional tests, responsive design, performance, errors, and indexability when the project is public.
5. Go-live and follow-up
Prepared deployment, backups, monitoring and a rollback plan when needed.
Let’s start with scoping
A first conversation is enough to identify the risk areas in your project.