The short answer

  • Name the decision and its owner before scheduling discovery activities.
  • Attach evidence and sample limits to each important feasibility claim.
  • Finish with a scope recommendation and unresolved risks, not only a presentation.

Start with a decision, not an activity list

Write the decision that discovery must support. For example: can the existing order system expose the records needed by a customer portal? That question is more useful than a broad instruction to review the architecture. Identify who can decide, when the answer is needed and what result would justify stopping. Interviews, code reading and prototypes are methods selected for that decision, rather than deliverables that justify themselves.

Separate demonstrated facts from assumptions

A documented API endpoint is not evidence that the relevant account can use it. A successful sample import does not establish that historical records are complete. Record what was actually tried, which environment was used and the limits of the sample. Put untested volume, permissions and data-quality assumptions next to the recommendation so the delivery team does not silently inherit them as facts.

Test the dependency that can change the plan

Choose the smallest experiment that could invalidate the proposed approach. That might be reading a restricted object through a sandbox API, restoring an application from its repository or evaluating difficult document examples. A polished interface prototype is less useful if the real uncertainty is data access. Keep the experiment isolated and avoid production credentials or unrestricted customer records.

Close with a bounded next step

A useful discovery outcome can be build, configure an existing product, investigate a specific remaining question or stop. Include a scope boundary, an architecture option, unresolved risks and the assumptions behind any delivery range. The next commitment should be clear enough for a person outside the discovery work to understand what evidence supports it and what could still change.

Apply this to your project.

Bring the current workflow and the part you are unsure about. We can help define the next useful engineering decision.

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