01 · 7 questions
1 Demand Strategy and Governance
Demand policy, process stages and gates fed by the BRM request funnel, accountable owner, executive steering, demand function funding, relationship coverage and planning cycle alignment
Technology Governance and Strategy Assessment
Evaluates how technology demand is governed, staged and gated, enabled through people, captured, triaged against existing services and architecture, routed for AI risk, sized and valued, decided and handed to delivery and the service pipeline, automated with controlled AI assistance, forecast and fed back from benefits.
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Head of IT Demand Management / IT Portfolio Manager / CIO / Business Relationship Managers / PMO Lead. Secondary: IT finance, enterprise architects, AI governance leads, service catalog owners and business sponsors.
Shows how reliably technology demand turns into the right decisions and delivered value, exposes where requests leak, stall, duplicate existing services or bypass AI and architecture review, and gives each gap a concrete next step and a measurable target.
Every organization has more technology requests than capacity. Without demand management, requests arrive by email and corridor conversation, the loudest voice wins, similar needs are built twice, business units buy their own technology, AI tools arrive without risk review, and nobody can say whether approved work delivered what it promised.
This assessment follows a request from the new demand exit of the BRM request funnel to measured benefit. It starts with the policy, the stages and gates of the demand process, the owner, steering committee, funding, liaison coverage and planning calendar, then the skills, process rollout, awareness, requestor enablement and collaboration that make the process work. It examines the demand platform, single intake channel and form, the shaping entry rule, idea capture, fast track and self-service. It covers triage, categorization, the check against existing and planned catalog services, the architecture reuse review, specialist routing, routing of AI demand to AI risk tiering and shadow demand, then sizing, costing, strategic scoring, validation of mandatory demand, benefits, capacity checks and estimate calibration. It looks at review board decisions, feedback to requestors and sponsors, escalation, handover to delivery and to the service pipeline, and backlog re-scoring, then automation, finance integration, data quality, controlled AI assistance in triage and pipeline reporting. It closes with pipeline analytics, forecasting, benefit outcome feedback into scoring and sizing, requestor satisfaction, leadership acceptance and benchmarked improvement.
Each question is scored on whether the practice is documented, implemented and effective, so the results show whether a gap is a missing standard, an adoption problem or a measurement problem.
Each domain is a group of related questions, scored on its own and rolled up into your overall result.
01 · 7 questions
Demand policy, process stages and gates fed by the BRM request funnel, accountable owner, executive steering, demand function funding, relationship coverage and planning cycle alignment
02 · 5 questions
Demand team competency, process change management, awareness, requestor enablement and cross-functional collaboration
03 · 7 questions
Demand platform, unified intake channel, intake form, shaping entry rules, idea capture, standard request fast track and self-service intake
04 · 7 questions
Triage service level, categorization, existing service check, architecture reuse review, specialist review routing, AI demand routing and shadow demand detection
05 · 7 questions
Sizing, rough order of magnitude costing, strategic value scoring, mandatory demand validation, benefit quantification, capacity check and estimation calibration
06 · 7 questions
Review board decisions, rejection and status communication, escalation, delivery handover, service pipeline handoff and backlog reprioritization
07 · 6 questions
Workflow automation, portfolio and finance integration, demand data quality, AI-assisted intake and triage, pipeline visibility and tooling roadmap
08 · 7 questions
Aging and throughput, conversion funnel, forecasting, benefit outcome feedback, requestor satisfaction, governance acceptance and process improvement
Measures that show whether the improvements hold.
| KPI |
|---|
| Channel Compliance - Share of demand items first logged outside the intake portal. Target: under 10%. |
| Triage Timeliness - Share of submissions triaged within the triage service level. Target: 90% or higher. |
| Catalog Redirects - Share of triaged items resolved by an existing or planned catalog service. Target: 20% or higher. |
| Decision Cycle Time - Median days from submission to approval, rejection or deferral. Target: 30 days or fewer. |
| Estimate Accuracy - Share of delivered items whose actual cost fell within the demand-stage estimate range. Target: 75% or higher. |
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 8 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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