I translate organizational goals, user needs, and operational constraints into requirements that engineering teams can implement and verify. My work connects stakeholder discovery with application architecture, information modeling, integration planning, and delivery.

I begin by establishing the problem, the intended outcome, and the evidence that will demonstrate success. This creates a shared foundation for decisions about scope, functionality, and technical approach.

Understanding the Organization and Its Workflows

Technical discovery requires understanding how people work and how existing systems support them. I examine processes, information flows, dependencies, and recurring obstacles before recommending an implementation.

I work across technical and nontechnical stakeholders to identify differences in expectations and terminology. Those discussions help reveal requirements that may otherwise remain implicit, including administrative responsibilities, exceptional cases, and dependencies on external providers.

Areas of focus include:

  • Stakeholder discovery: Identifying users, decision-makers, operational owners, and the needs each brings to the project.
  • Workflow analysis: Mapping current processes, decision points, information exchanges, and opportunities for improvement.
  • System assessment: Reviewing existing applications, integrations, infrastructure, and technical constraints.
  • Functional requirements: Defining the actions, rules, and behaviors the application must support.
  • Quality requirements: Establishing expectations for performance, security, accessibility, availability, and maintainability.
  • Acceptance criteria: Describing observable conditions that demonstrate whether a requirement has been met.
  • Scope and prioritization: Organizing requirements around value, dependencies, resources, and delivery stages.
  • Requirements traceability: Connecting objectives with design decisions, implementation work, and verification.

Turning Objectives Into Defined Behavior

A broad objective needs enough detail to guide implementation. I translate goals into user journeys, business rules, information requirements, and expected application behavior.

For example, a requirement to “improve search” needs clarification: who is searching, which information they can access, how results should be filtered, and what constitutes a useful result. These distinctions influence architecture, development effort, and validation.

I also consider exception paths. Missing information, rejected submissions, unavailable services, and conflicting permissions can materially affect how a system behaves. Addressing these conditions during discovery gives teams a more complete basis for implementation.

Information and Integration Requirements

My experience in information architecture and systems integration helps connect business processes with the data they require. I define the records involved, their relationships, and the systems responsible for maintaining them.

For integrations, I examine available interfaces, authentication requirements, field mappings, update frequency, and failure handling. These details help establish whether the proposed workflow is feasible and which dependencies must be resolved.

For AI-enabled applications, discovery also includes the suitability of source material, retrieval requirements, review expectations, and the actions the system is authorized to perform.

Priorities, Scope, and Delivery Planning

I organize requirements into a delivery plan that reflects the organization’s resources and intended outcomes. Foundational dependencies, essential workflows, and useful increments help determine the implementation sequence.

Assumptions and unresolved questions should remain visible. Where uncertainty could materially affect the design or estimate, I identify the investigation or prototype needed to resolve it.

Clear scope also establishes boundaries for individual releases. This helps stakeholders understand what will be delivered, what remains for later consideration, and how proposed changes affect effort and timing.

Acceptance and Shared Understanding

I write requirements so that stakeholders and engineers can evaluate the same outcome. Acceptance criteria should describe observable behavior, including relevant permissions, validation rules, and failure conditions.

Supporting artifacts may include workflow diagrams, data models, interface examples, and concise technical specifications. I select the format according to the decision it needs to support.

Requirements develop as teams learn. I maintain the relationship between the original objective and subsequent changes so that implementation remains aligned with the project’s purpose.

Practical Application

I apply this discipline across enterprise platforms, Drupal applications, cloud services, and legal and government information systems. My contribution includes discovery, requirements documentation, feasibility assessment, architecture planning, and clarification throughout delivery.

My strongest contribution is turning an initial idea or complex organizational problem into a defined body of work that stakeholders can assess and engineering teams can execute.