Create a problem from evidence
Use repeated symptoms, service history, trend analysis, major-incident review, supplier information, or a high-impact near miss to open a problem with a clear investigation question.
Group related incidents, investigate contributing conditions, publish usable workarounds, control permanent fixes, and verify that recurrence actually falls.
The live workspace starts with recurring patterns and known-error status. It keeps immediate recovery separate from root-cause work while connecting the evidence needed to justify a change and test whether prevention worked.
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The first view shows active problems, known errors, workarounds, and corrective action state. Other tabs connect incidents, changes, and effectiveness checks.
Incident management restores service now. Problem management asks what makes the interruption likely to return.
Use repeated symptoms, service history, trend analysis, major-incident review, supplier information, or a high-impact near miss to open a problem with a clear investigation question.
Record suspected causes, supporting and contradictory evidence, experiments, observations, dependencies, and contributing conditions. Do not convert an early theory into an official root cause merely to complete a field.
Publish a safe, scoped workaround responders can apply now, then manage the permanent change with its own risk, validation, authorization, implementation, and rollback evidence.
A known-error record is useful only when responders can recognize the condition and act safely.
State affected services or configurations, observable indicators, trigger conditions, user impact, diagnostic checks, and exclusions so responders know when the record applies.
Document prerequisites, steps, risk, permissions, expected result, validation, and rollback. Name an owner and review date so the workaround does not become permanent folklore.
Record when a workaround was applied, by whom, to what environment, and with what result. That usage history improves both response and the permanent correction decision.
Completing an action is not the same as reducing the operational risk it was meant to address.
Choose a measurable signal such as recurrence rate, failure volume, recovery time, alert pattern, customer impact, or manual intervention and set an appropriate observation period.
Confirm that the approved correction reached the intended service, configuration, region, or user group and that monitoring or business checks still behave as expected.
If incidents return or the measure does not improve, preserve the earlier hypothesis and action evidence, then continue the investigation instead of manufacturing success through closure.
This prevents problem work from duplicating incident or change control.
| Question | Primary record | Useful result |
|---|---|---|
| How do we restore service now? | Incident | Verified recovery or safe workaround |
| Why does this keep happening? | Problem | Supported cause and prevention plan |
| How can responders handle it safely meanwhile? | Known error | Recognizable symptoms and controlled workaround |
| How do we alter production safely? | Change | Authorized implementation and validation |
Connect symptoms, affected services, hypotheses, evidence, known errors, workarounds, corrective changes, and effectiveness checks without forcing them into an incident ticket.
The result is a prevention system where every theory, workaround, change, and effectiveness decision remains connected to operational evidence.Relate multiple incidents to one problem while preserving each event’s impact, timing, recovery path, and service context.
Show who can use the workaround, its risks and limits, and the conditions that require escalation rather than informal reuse.
Track the change or action through completion, define an observation period, and record recurrence or another effectiveness signal before closing the risk.
Keep the problem record connected to operational evidence while technical analysis stays in the tools best suited to it.
Recurring-incident grouping, hypotheses, evidence references, known errors, controlled workarounds, corrective changes, actions, and effectiveness review.
Reference topology, logs, metrics, traces, code, deployments, supplier analysis, and knowledge sources rather than duplicating them as unstructured notes.
Automated topology, telemetry correlation, machine-assisted root-cause analysis, or a mature embedded knowledge ecosystem is essential at launch.
Incident management restores normal service after an interruption. Problem management investigates the causes and conditions behind one or more incidents and controls work intended to reduce recurrence or impact.
Include recognizable symptoms, affected services or configurations, confirmed or suspected cause, diagnostic checks, a controlled workaround with risk and validation, ownership, review date, and links to related incidents and changes.
No. Create one when recurrence, impact, uncertainty, risk, or learning value justifies investigation beyond recovery. Avoid making problem records a mandatory duplicate of every incident.
Yes. Link or import the relevant alerts, trends, and diagnostic evidence while keeping the monitoring system as the technical source and Jodoo as the investigation and follow-through record.
Yes. Authorized builders can refine hypotheses, evidence, workaround, corrective-action, review, and effectiveness-check fields and workflows without code.
Explore recurring, investigating, known-error, change-planned, monitoring, and effectiveness-verified examples before adapting the model to your services.
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