Software Project Delivery

Analysis and Design

Software System Analysis and Design

Translate current operations into future workflows, data flows, roles, business rules, system boundaries, and reviewable solution models before development.

1 Study current state
2 Model needs
3 Define boundaries
4 Design future state
5 Validate

What this resource covers

System analysis examines how work is performed, where information comes from, how decisions are made, and where problems occur. System design describes how the proposed solution will organize workflows, data, interfaces, and controls.

  • Document current actors, activities, information, decisions, exceptions, and pain points
  • Distinguish business needs from limitations of the existing system
  • Model proposed workflows and responsibility boundaries
  • Define system context, modules, external actors, and interfaces
  • Describe data entities, movement, ownership, validation, and retention needs
  • Validate models with users and technical participants before detailed build

Information to prepare

Collect current and target workflows, actors, rules, data, states, interfaces, exceptions, reports, volume, security, deployment constraints, and quality requirements.

  • Discovery and approved requirements
  • Current procedures, forms, reports, and systems
  • User roles, business rules, and exceptions
  • Data sources and integrations
  • Security and operational constraints

Expected planning outputs

Produce process and domain models, system context, data and interface designs, state behavior, component responsibilities, design decisions, prototypes where needed, and traceability to requirements.

  • Current-state and future-state process models
  • System context and boundary definition
  • Module and responsibility model
  • Logical data and interface models
  • Reviewed design decisions and open questions

Practical example

How it can be applied

For clinic operations, analysis may map registration, appointments, consultation, orders, results, billing, and follow-up across patient, provider, and administrative roles. Design then defines module boundaries, shared patient data, permissions, integration points, and audit events.

Common mistakes to avoid

  • Automating a broken workflow without analysis
  • Designing around one department while ignoring shared data
  • Mixing logical needs with a premature technology choice
  • Ignoring exception and recovery paths
  • Proceeding without stakeholder review of the future state

FAQ

Common questions

What is the difference between analysis and design?

Analysis explains the problem, needs, rules, and context. Design describes how the proposed system will satisfy them.

Are diagrams required?

Use diagrams when they improve shared understanding. Clear text, tables, prototypes, and examples can complement them.

Can analysis continue during development?

Yes in iterative delivery, but near-term work still needs enough analysis to avoid preventable rework and unsafe assumptions.

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