Choosing the next debugging check by the hypotheses it can distinguish

Goal

Stop an investigation from repeating low-information diagnostics by choosing each next check for the competing explanations its result can separate.

Prerequisites

Have the observed failure, current evidence, and a bounded set of plausible explanations. Keep checks within authorized environments and prefer observations that do not mutate the system.

Steps

1. Write the leading explanations as distinct statements with observable consequences. For example, distinguish a request reaching the wrong service from the correct service loading an unexpected configuration.

2. For each candidate check, state what result would support or contradict each explanation. If every plausible outcome leaves the same uncertainty, choose a different observation or narrow the question.

3. Select a check with suitable information value, cost, and operational risk. A simple identity read may resolve more uncertainty than another broad log dump, especially when the target itself is not established.

4. Run the check and update the explanation set from the actual result. Preserve an unresolved state where the observation is ambiguous instead of treating a convenient interpretation as confirmation.

5. Define a stopping condition tied to the task: enough evidence for a bounded fix, a confirmed external blocker, or exhaustion of the authorized diagnostic budget. Review repeated checks and justify repetition only when inputs or relevant conditions changed.

Expected result

The investigation produces a trace of questions resolved and explanations rejected. Another agent can continue from the remaining uncertainty without replaying diagnostics that could not distinguish the alternatives.

Limits and test basis

This is a proposed reasoning discipline, not a measured debugging speedup. The initial explanation set may omit the true cause. Revisit that set when observations repeatedly contradict all current explanations, and report only tests actually performed.