VeriSM Foundation study materials
VeriSM Foundation study resources

VeriSM Foundation flashcards

VeriSM Foundation · Build recall with a focused review session.

32 cards. Read the term and the definition here. The deck at the top of this page is optional.

VeriSM definition of value
Value is co-created with the consumer at the moment of consumption; it is judged by the outcomes the consumer experiences, not by the outputs the provider produces.
VeriSM principles
Focus on value, co-create with consumers, work iteratively, keep it simple, be transparent, and evolve continuously; these guide how the approach is applied.
Service (VeriSM)
A means of delivering value to consumers by facilitating outcomes they want to achieve, without the consumer owning the specific costs and risks involved.
Three E's of VeriSM
The why is governance, the what is service management, and the how is progressive practices and technologies; together they frame the VeriSM model layers.
Practice-agnostic integration
VeriSM does not replace Agile, DevOps, Lean or ITIL; it integrates whichever practices fit the service promise, making it a flexible umbrella approach.
Ecosystem in VeriSM
The organization operates within a wider network of consumers, suppliers and partners; their capability is part of the management mesh and shapes delivered value.
VeriSM model loop
A cycle of define, produce, provide and respond, driven by consumer needs and feedback, which returns to define for continuous improvement.
Define stage
Establishes the service promise and requirements by understanding consumer needs and the environment; it sets what the service must achieve before production begins.
Produce stage
Builds or assembles the product or service using the management mesh, selecting the resources, practices and technologies needed to meet the service promise.
Provide stage
Delivers the service to consumers in the agreed way, making the value available and ensuring the consumer can actually realize the intended outcome.
Respond stage
Captures feedback, handles incidents and changes, and feeds lessons back into the next define stage, closing the continuous improvement loop.
Management mesh
The bottom layer of the VeriSM model where resources, emerging technologies, management practices and the environment are combined to deliver a service.
Mesh element: resources
People, processes, information, tools and finances that the organization combines differently for each product or service according to its needs.
Mesh element: environment
The internal and external context including culture, market conditions, regulation and consumer expectations that shapes how services are produced and provided.
Product versus service
A product is the tangible or intangible output, while a service is the co-created experience of consuming that product's value with the consumer.
Iterative, not linear
The VeriSM model runs as repeating loops; different services may cycle at different speeds, and feedback from respond re-enters define.
Governance in VeriSM
Sets direction, defines the service promise and ensures accountability; it is distinct from day-to-day delivery, which is managed through the mesh.
Governing body role
Provides the why by defining purpose, values and required outcomes, then holds delivery accountable without dictating how teams execute the work.
Governance components
Direction, accountability, oversight and decision rights; these are exercised through the operating model to connect intent with delivery.
VeriSM operating model
Connects governance to delivery by defining how work flows through the management mesh and who holds decision rights at each point.
Separation of governance and execution
Governing bodies set constraints and outcomes; delivery teams choose how to meet them, preserving accountability while enabling local autonomy.
Transparent governance
Policies, risk appetite and compliance requirements are made visible to delivery teams so decisions can be made consistently and evidence can be shown.
Non-delegable accountability
Governance may assign roles and decision rights, but the governing body remains answerable for outcomes and cannot transfer that responsibility away.
Operating model evolution
Governance periodically reviews the service promise and mesh composition as the environment changes, adjusting the operating model rather than freezing it.
Progressive practices
Current, evolving ways of working such as Agile, DevOps, Lean, CI/CD, site reliability and design thinking that the mesh combines as needed.
Mesh is not a fixed stack
Practices and technologies are selected and combined per product or service based on environment and requirements, not adopted as one universal set.
Agile and DevOps in mesh
Agile practices give iterative delivery and feedback; DevOps practices integrate development and operations for flow, reliability and faster response.
Lean in the mesh
Focuses on the value stream, waste elimination and flow, informing how work is produced and how the respond stage improves it.
Emerging technologies
Cloud, automation, AI, analytics and containerization enable new ways of working; they support practices but do not substitute for them.
Balancing mesh elements
Over-reliance on technology without matching changes in practices, resources and environment undermines outcomes; the four elements must stay aligned.
Practice selection driver
The service promise set in the define stage determines which practices and technologies the mesh needs, not habit or vendor preference.
Continuous improvement in mesh
Feedback from the respond stage adjusts mesh composition and practice adoption, so the mesh evolves with the service and its environment.