Domain-specific requirements
Define the scope, dependencies and acceptance criteria for domain-specific requirements in the context of custom software development.
Engineer software around your workflows, data and integration needs.

Engineer software around your workflows, data and integration needs.
For custom software development, the useful starting point is the work people do today: where information enters, where decisions happen and where the current system slows them down.
The solution needs to fit existing processes and data, make exceptions visible, and remain understandable to the team that operates it after launch.
The scope of custom software development depends on the users, integrations and operational constraints involved.
Define the scope, dependencies and acceptance criteria for domain-specific requirements in the context of custom software development.
Identify the systems that exchange information, their contracts and how failures are handled.
Define the scope, dependencies and acceptance criteria for incremental delivery in the context of custom software development.
Define the scope, dependencies and acceptance criteria for long-term ownership in the context of custom software development.
Good outcomes depend on a few explicit decisions about users, data, integration and measurement.
Start with the people and processes affected by custom software development, then define the few changes that matter most.
Review current platforms, data ownership, access rules and the failure paths between systems.
Agree on acceptance criteria and operational measures before committing to the next release.
A clear path from business context to implementation and ongoing improvement.
Clarify the users, business goal, existing systems and constraints.
Map workflows, data, architecture, priorities and a practical delivery plan.
Deliver in visible increments with review, testing and integration.
Measure use, resolve friction and evolve the system responsibly.
Start with the people and processes affected by custom software development, then define the few changes that matter most.
Review current platforms, data ownership, access rules and the failure paths between systems.
Agree on acceptance criteria and operational measures before committing to the next release.
Follow the path from capability to implementation.

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Improve legacy architecture and delivery without losing essential workflows.
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Build repeatable delivery, deployment and operational practices.
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