03 / Method

A disciplined path from uncertainty to evidence.

Good technical work starts by making the problem explicit. We define what needs to be true, build the smallest useful system, test it against evidence, and leave behind something that can be understood and maintained.

  1. Scope

    Define the problem before defining the solution.

    Clarify

    • Objective
    • Constraints
    • Inputs
    • Expected behaviour
    • Failure conditions

  2. Design

    Turn requirements into an explicit technical approach.

    Clarify

    • System boundaries
    • Interfaces
    • Data flow
    • Evaluation method
    • Implementation plan

  3. Build

    Construct the smallest system that can answer the important questions.

    Focus on

    • Working interfaces
    • Reproducible pipelines
    • Instrumentation
    • Versioned components
    • Useful automation

  4. Validate

    Test the system against defined requirements.

    Focus on

    • Representative cases
    • Repeatable evaluation
    • Failure analysis
    • Regression checks
    • Reviewable evidence

  5. Operate

    Make the work useful after delivery.

    Focus on

    • Documentation
    • Monitoring
    • Handover
    • Repeatability
    • Future iteration

The same five stages apply whether the work is an evaluation suite, a data pipeline or a production service.

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