01 · 6 questions
1 Problem Management Governance and Design
Policy, process ownership, lifecycle roles, practice interfaces, the problem record standard and a risk-based priority matrix.
IT Service Management Assessment
Evaluates problem and root cause management maturity across governance, problem identification, root cause analysis, known errors and workarounds, resolution and closure, people and suppliers, monitoring and reporting, proactive prevention, and measurement, with controls for AI-assisted and automated work.
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Problem Manager / Problem Management Process Owner / ITSM Process Owner / IT Operations Director. Secondary: Incident and Major Incident Managers, Service Desk Leads, Change and Configuration Managers, Engineering Leads, Service Owners.
Finds the gaps that keep incidents recurring: missing triggers, shallow or blame-driven root cause analysis, workarounds agents cannot find, fixes never verified, and no proof of incident reduction. Gives a prioritized path from a queue of aging tickets to a practice that measurably prevents incidents.
Problem management exists to stop incidents from happening again. When it works, recurring incidents disappear, service desk agents resolve calls in minutes using proven workarounds, and the organization spots weaknesses before users feel them. When it does not, the same outages repeat, problem tickets age in a queue nobody reviews, and every root cause review ends with the same vague action to "monitor the situation".
This assessment follows the full problem lifecycle in nine domains: the policy, roles, record standards and priority scheme that govern the practice; the triggers and triage that decide which problems are worked, including faults in AI-enabled services; the investigation method, including blameless reviews, change correlation and rules for AI-assisted analysis; the known error database and the workarounds it gives incident staff; how permanent fixes are chosen, raised as changes, applied safely by automation or AI agents, verified and closed; the skills, capacity and supplier support investigations depend on; the aging, escalation and reporting that keep problems moving; proactive analysis, including AI-assisted pattern detection, that finds problems before incidents occur; and the measures that prove incident reduction.
Each question is scored on three dimensions: Documented, Implemented and Effective. This exposes practices that exist on paper but not in daily work, work that happens but is never written down, and practices that run but are never measured. The model tests the hand-offs with incident, change, configuration and knowledge management and with AI governance, while the depth of those practices stays in their own assessments.
Each domain is a group of related questions, scored on its own and rolled up into your overall result.
01 · 6 questions
Policy, process ownership, lifecycle roles, practice interfaces, the problem record standard and a risk-based priority matrix.
02 · 8 questions
Major incident and recurrence triggers, unexplained incidents, supplier and release known issues, AI-enabled service faults, candidate intake, problem statements and triage.
03 · 10 questions
The root cause analysis toolkit, assignment, ownership, targets, diagnostic data, change correlation, contributing causes, AI-assisted analysis controls, blameless reviews and root cause confirmation.
04 · 6 questions
Known error records, timely publication, workaround validation, incident tool matching, workaround feedback and known error review and retirement.
05 · 7 questions
Fix options, business risk acceptance, change linkage, automated and agent-driven fixes, fix verification, closure criteria and knowledge handover.
06 · 5 questions
Problem role skills, root cause analysis training and coaching, protected investigation time, front-line awareness and supplier investigation obligations.
07 · 6 questions
Aging thresholds, stalled problem escalation, cross-practice review, stakeholder updates, leadership reporting and the cost of problems.
08 · 6 questions
The proactive plan, monitoring warning analysis, cross-service patterns, AI-assisted pattern detection, service review input and a single prioritized backlog.
09 · 5 questions
The measurement framework, incident reduction evidence, known error value, practice improvement tracking and the annual practice review.
Measures that show whether the improvements hold.
| KPI |
|---|
| Incident Recurrence Rate - Share of incidents linked to a previously resolved problem. Target: under 5%. |
| Known Error Utilization - Share of incidents resolved using a known error workaround. Target: 20% or more. |
| Root Cause Within Target - Share of problems reaching a confirmed root cause within the priority target. Target: 80% or more. |
| Problem Backlog Aging - Share of open problems older than 90 days. Target: under 15%. |
| Proactive Identification Rate - Share of new problems identified proactively rather than from incidents. Target: 25% or more. |
Questions are written in plain language and mapped to:
Practices this assessment relies on. Assessing them too gives a fuller picture.
An overall score and a score for each of the 9 domains.
A clear view of where current practice falls short, and why it matters.
Prioritized next steps to move each area to the next level.
Results you can share with leadership and track over time.
Register, take the assessment, and get your maturity score with a clear improvement roadmap.
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