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Blog Articles

Featured The Adaptive Governance Framework V.1

The Adaptive Governance Framework An extension of The Governance Topology Table of Contents 1 - Introduction 2 - Disclaimer 3 - Ideation types 4 - Demand Dimensions 4.1 - On Normal and Minor demands 4...

Featured The Governance Topology V.1

The Governance Topology A Fundamental Framework for Mapping out Governance Table of Contents 1 - Introduction 2 - Disclaimer 3 - Why Introduce The Governance Topology 4 - What is The Governance Topolo...

Measuring What Matters: The KPI Architecture

A ServiceNow KPI architecture should begin with experience and flow, not activity counts. Establish a layered model: Level 1 outcomes (e.g., CSAT, EX, NPS, cost-to-serve), Level 2 flow metrics (lead t...

Platform Governance Without Red Tape

Good governance accelerates delivery by clarifying what’s allowed, what’s reviewed, and what’s automated. Define tiers: low-risk changes flow with automated tests and approvals; medium-risk changes ge...

Funding the Platform as a Product

Platform underfunding is value starvation. Treat ServiceNow as a product with roadmaps, not a cost center. Shift from episodic project funding to capacity-based funding aligned to value streams (e.g.,...

The Business Case Executives Actually Approve

Winning business cases focus on time-bound, evidenced value rather than tool enthusiasm. Establish the “current cost of work” with a defensible baseline: labor hours per case, rework rates, waiting ti...

Transforming Backlogs into Business Wins

Every IT team knows the pull of a growing backlog. It starts small, then suddenly everything is orbiting around urgent requests and the loudest stakeholders. Before long, your roadmap looks more like ...

Brownfield implementation Approach

Brownfield implementation refers to modernizing an existing ServiceNow (or legacy ITSM) environment already in use—often heavily customized—rather than starting fresh (“greenfield”). Brownfield projec...

Value, Risk, and What’s Next?

Measure outcomes, not outputs. Track cycle time from idea to production, reuse of shared components, incident density per release, and percentage of work using platform standards (tables, flows, spoke...