Confirmed facts
Observations directly supported by records, tests or data.
A verifiable approach to each investigation.
Define the issue before collecting evidence. Separate confirmed facts, reasonable inferences and unverified hypotheses so that each next step has a clear basis.
Separate evidence from explanation.
Reasonable inferences
Explanations based on available evidence, with their assumptions and conditions.
Unverified hypotheses
Possible directions that require more evidence and a defined validation method.
- 01
Define the requirement and issue
Clarify symptoms, business impact, attempted actions and goals; agree scope and deliverables.
Stage outputIssue summary, scope and acceptance criteria - 02
Collect environment details and evidence
Confirm versions, environment and permissions. Collect only necessary records using agreed secure transfer.
Stage outputEnvironment inventory, evidence index and timeline - 03
Reproduce the issue
Record steps, inputs and frequency, preferably in a test environment. State limitations when reproduction is not possible.
Stage outputReproduction steps, trigger conditions and comparisons - 04
Analyze the evidence
Correlate logs, dumps, APIs and database records. Distinguish observations, inferences and unverified hypotheses.
Stage outputEvidence relationships, findings and open questions - 05
Validate findings
Use comparison tests, regression cases or data checks. Proposed changes require approval from the responsible party.
Stage outputValidation records, applicable conditions and unresolved issues - 06
Report and hand over
Organize findings, evidence, limitations and recommendations to support engineering and IT decisions.
Stage outputTechnical report, issue list and next-step recommendations
A clear problem statement is the first step.
Share your environment, observable symptoms and goals. We confirm the scope, then assess the engagement and quote.