POM vs APOM: Cagan and Scrum.org Compared
Written from hands-on use. This guide comes from working with the tools and practices it covers, not just from reading the documentation.
- Both models center on products, empowered teams and outcomes.
- POM names specific practices from leading tech companies. APOM is deliberately incomplete and unique to each product.
- APOM adds Evidence-Based Management metrics and a unified discovery, delivery and support value cycle.
Part of our AI Driven Product Operating Model hub. Start there for the full map of guides, checklists and templates.
Two formulations dominate the conversation. SVPG’s Product Operating Model (POM) comes from Marty Cagan’s work with technology-powered companies. Scrum.org’s Agile Product Operating Model (APOM) arrived in September 2024 as part of its Professional Product Ownership initiative and extends Professional Scrum with product thinking.
Side by side
| Aspect | POM (SVPG) | APOM (Scrum.org) |
|---|---|---|
| Structure of the model | 3 dimensions, 5 concepts, 4 competencies | 4 areas: strategy, people, structure, value cycle |
| Defining stance | First principles from leading product companies | Principle-based, non-prescriptive; each product shapes its own model |
| Evidence | Discovery proves value, usability, feasibility, viability | Evidence-Based Management and metrics per principle |
| Team | Product manager, designer, tech lead | Empowered cross-functional teams with end-to-end ownership |
| Core principles | Outcomes over output, empowerment, discovery | Evidence-based, empirical agility, end-to-end ownership, outcome focused |
The shared core
Both reject the project model. Both give teams outcomes instead of feature lists, expect small, frequent releases, and say structure, incentives and culture have to change together. Scrum.org calls this being holistic. SVPG calls it moving to the model instead of adopting a technique.
The divergence
West's seven APOM characteristics include unique: each product may need its own way of working, and uniform processes are a constraint to justify rather than a default. He also warns that a product model optimizes at product level, so cross-product needs must be handled through portfolio choices and constraints. POM leans on a more defined shape drawn from companies like Amazon, Google and Spotify.
How to choose. If your organization needs a concrete reference picture of strong product practice, start with POM. If it already runs Scrum and Evidence-Based Management, APOM is a natural extension. Most teams borrow from both.
Seven APOM characteristics, mapped to POM
| APOM characteristic (West) | Closest idea in POM |
|---|---|
| Unique: each product has its own operating model | Product culture varies by company, but the principles stay constant |
| Holistic: parts affect each other | Moving to the model changes culture, strategy, teams, discovery and delivery together |
| Evidence-based | Discovery produces evidence on value, usability, feasibility and viability |
| Empowered teams | Empowerment: teams get problems to solve |
| Empirical | Rapid experimentation and small, frequent releases |
| Complete: discovery, delivery and operations together | Durable cross-functional teams that own the full cycle |
| Change management built in | Transformation led by product leaders and executives |
What Scrum.org practitioners report
- Scrum.org’s survey synthesis reports three problems: value competes with features and deadlines, evidence-based decision-making is inconsistent, and structural silos limit autonomy.
- The Accenture episode discusses how companies and organizations introduce APOM.
- The Dyno Therapeutics episode applies APOM ideas in a gene therapy lab, which shows the model working beyond software.
- The Toyota Connected episode covers funding models, product life cycles and dependencies as APOM shapes portfolio management.
- West’s later blog on the APOM Guiding Principles warns against “mechanical Scrum” and says AI may push organizations to become faster, smaller and flatter, as long as they have a strong evidence-based model.
Decision guide by situation
| Your situation | Lean toward | Why |
|---|---|---|
| Need a concrete picture of how strong tech companies work | POM | It names practices and gives company examples |
| Already run Scrum and EBM widely | APOM | It extends what teams already know |
| Multiple very different products | APOM’s "unique" principle | Each product shapes its own model |
| Need a competency model for hiring and coaching | POM | It defines product manager, designer, tech lead and leader roles |
| Executive sponsor wants a measurement approach | APOM with EBM | Evidence-based metrics per principle |
A blended approach
- Use POM to describe the target: empowered teams, discovery, outcomes.
- Use APOM’s four areas to audit strategy, people, structure and value cycle.
- Use EBM measures to track whether the model is working.
- Apply APOM’s unique principle: let each product tune practices within clear constraints.
- Revisit quarterly, with change management owned by a named group.
Records changes to structure, funding or constraints so the reasoning is not lost.
Template: Operating model decision log
OPERATING MODEL DECISION Date: Decision: Area affected: strategy / people / structure / value cycle Why now (evidence): Alternatives considered: Expected effect and how we will measure it: Constraints this adds or removes, and why: Owner: Review date and result:
Use a Notion or Confluence database, or markdown files in a GitHub repository (the same habit as architecture decision records). Link each entry to its evidence. Use whatever your team already works in.
Product Teams and Scrum Teams: Where the Roles Differ
Teams adopting a product operating model often already run Scrum. So does the product team replace the Scrum Team, or sit next to it? Marty Cagan was asked this directly in an interview hosted on DZone, and Scrum.org’s own writing covers the Product Owner and Product Manager overlap. This guide compares the two and shows how to combine them.
What the two models say
In SVPG’s model, product teams are cross-functional, durable, informed by strategic context, empowered and accountable for results. They usually include product managers (value and viability, accountable for outcomes), product designers (usability and customer experience) and tech leads (feasibility and delivery), supported by product leaders who coach and provide context.
In Scrum, the Scrum Team has accountabilities for the Product Owner, the Scrum Master and the Developers. Dave West notes in the APOM State of Play series that Scrum makes the Product Owner accountable for maximizing value, while many companies add a Product Manager alongside a Product Owner or instead of one, and define the roles differently by size, industry and structure.
Where they differ
| Question | Scrum Team | Product team (SVPG) |
|---|---|---|
| Who is on the team? | Product Owner, Scrum Master, Developers | Product manager, product designer, tech lead and engineers |
| Designer | Not a named accountability; design skills sit among the Developers if needed | A professional product designer is an essential competency |
| Coaching and people leadership | Scrum Master helps with Scrum adoption and team effectiveness | Product leaders coach and provide strategic context |
| Work is organized around | A Product Backlog and a Product Goal, in Sprints | Assigned problems and outcomes, with discovery and delivery in parallel |
| Cadence | Sprint events | Small, frequent releases, at least every two weeks and ideally continuous |
In a 2024 interview with Stefan Wolpers, Cagan argued that most Scrum teams are delivery teams with a Product Owner who mostly administers the backlog, that a Product Owner covers only a fraction of a product manager’s job, and that the Scrum team is missing a professional product designer. He added that the Scrum Master role usually falls to a delivery manager, and that in the product model product leaders (the managers of engineers, designers and product managers) take primary responsibility for coaching and developing their people. He also said Scrum is one delivery process, that engineers can use it if they like, and that many product teams have moved on to Kanban or a streamlined variant. His framing is blunt and it’s one side of the debate. Scrum.org’s view is that organizations define the Product Owner and Product Manager roles differently, and that Scrum makes the Product Owner accountable for maximizing value. Read the full interview for his exact words.
Mapping the roles
| Product team role | Closest Scrum role | Notes |
|---|---|---|
| Product manager | Product Owner | Overlap, not equivalence. Many organizations split value ownership across both. |
| Tech lead and engineers | Developers | Developers are cross-functional in Scrum; the product model names feasibility ownership explicitly. |
| Product designer | Developer with design skills | Make the design competency explicit rather than assumed. |
| Delivery manager or product leader as coach | Scrum Master | Coaching sits with leaders in SVPG’s model; Scrum treats it as a distinct accountability. |
Combining them in practice
- Treat the Product Goal as an outcome with a metric, so the Sprint cadence serves a result instead of a feature list.
- Add a professional product designer to the team and bring discovery work into the Sprint rhythm.
- Keep the Scrum Master’s focus on team effectiveness, and have product leaders provide strategic context and coaching.
- Decide explicitly who owns each of the four risks: value, usability, feasibility and viability.
- Review outcome evidence at Sprint Reviews, not just a demo of what shipped.
Watch out. Scrum.org warns against “mechanical Scrum”, which puts mechanics ahead of intent. A team that runs every event but still gets a feature list from outside has the vocabulary of Scrum without the empowerment either model assumes.
Use the product team charter to write down who decides what, so role overlap becomes an explicit agreement instead of a quiet conflict.
Write once per durable team, review quarterly.
Template: Product team charter
PRODUCT TEAM CHARTER Team name: Customer problem space we own: Current outcomes (max 2): Team members (product manager, designer, tech lead, others): How we decide (solution decisions, who is consulted, who decides): Release cadence target: How we discover (customer touchpoints per week, experiment types): Instrumentation and monitoring we rely on: Stakeholders and how we keep them informed: Boundaries: what we do not own: Review date:
Pin the charter at the top of the team space in Confluence, Notion or SharePoint, and in the team's Slack or Teams channel. Review it in quarterly planning. Any equivalent tool works just as well.
A recurring ritual for pilot teams to share learning with leaders and peers. 30 to 45 minutes.
Template: Discovery delivery demo agenda
DISCOVERY DELIVERY DEMO Team and outcome: 1. What we learned since last demo (evidence, not activity): 2. What we want to learn next, and how: 3. What we shipped, and what it showed: 4. Work shown: interview snapshots, opportunity map, assumption tests 5. What is slowing us down and what we need from leaders: 6. Questions and suggestions (leaders label suggestions as suggestions): Decisions and follow-ups:
Run it in Zoom, Teams or Google Meet. Show prototypes in Figma and live metrics from your dashboards, and log decisions in Notion or Confluence.
Run with a product team each quarter. It tests whether the team is actually empowered.
Checklist: Empowered team health
- 0 to 3: Feature team; work on assignment and ownership first.
- 4 to 6: Partly empowered; find which of the missing items leaders control.
- 7 to 8: Healthy; invest in coaching and evidence.
Use a retro tool such as Miro, Retrium or EasyRetro, or a Google Form, for the team's answers. Compare them with delivery signals from Jira or Linear (cycle time, release frequency) and product analytics. Swap in whatever you already use.
Product Portfolio and Team Topologies in an APOM
Once a few teams run as products, a new problem shows up: work that crosses products. Shared platforms, common customers, dependent launches and a single pool of money. West’s APOM series gives whole posts to portfolio management and to organizing the product group. This guide summarizes the ideas and shows how to apply them.
The core tension
West observes that leaders accept empowered teams as the answer in complex situations, but worry that local decision-making leads to local optimization that’s bad for the whole organization. A product model encourages each product to pursue its own agenda. Broad needs get handled by choosing the right products and introducing constraints, and evidence like cycle time and clarity about bottlenecks can make those constraints obvious.
Four questions West says come up
| Question from the APOM discussions | What to settle |
|---|---|
| What are the elements of the model? | Which of strategy, people, structure and value cycle need to change first |
| What is a product? | Boundaries, customers and value for each product, and what happens when a product does not fit the usual characteristics |
| How do we manage a product portfolio? | How cross-product work is planned, funded and governed |
| How do we organize the product group? | How topologies, platforms and shared services relate to product teams |
Managing the portfolio
Project portfolios track projects and dates. A product portfolio tracks products, their outcomes and the investment in them. Scrum.org’s portfolio material includes an episode with Toyota Connected’s Lucas Smith on funding models, product life cycles and dependencies in a complex product ecosystem, and another with Nabila Sattar Safdar on leading a transition from a project-based to a product-based portfolio. Both are worth a listen for practical detail; see the reading list in the hub.
| Portfolio question | Project portfolio | Product portfolio |
|---|---|---|
| What is tracked? | Projects, milestones, budgets | Products, outcomes, evidence and investment |
| How is work funded? | Annual project funding | Ongoing funding by product or outcome goal |
| How is cross-product work handled? | Program plans and dependencies | Cross-product OKRs, shared constraints and flow data |
| What triggers a decision? | Milestone or budget review | Evidence of outcome and flow |
Organizing the product group
West noted that ideas like Team Topologies affect how a product group is organized. Team Topologies, from Matthew Skelton and Manuel Pais, describes four team types, which are a useful vocabulary for product groups.
| Team type | Role in a product group | Example |
|---|---|---|
| Stream-aligned | Owns a flow of work for a product or customer segment end to end | A product team for onboarding |
| Platform | Provides internal services that reduce load on stream-aligned teams | Payments or identity service |
| Enabling | Helps other teams adopt new capabilities and practices | Experimentation or accessibility coaching |
| Complicated-subsystem | Owns a specialist component needing deep expertise | Recommendation or fraud model |
Watch out. Don’t turn platform teams into a ticket queue. If product teams have to file requests and wait, you’ve rebuilt the handoff chain the product model was meant to remove. Treat the platform as a product with its own customers and outcomes.
Practical steps
- List your products honestly using the project-or-product diagnostic; split or merge where boundaries are wrong.
- Name the few constraints that must apply across products, and the reason for each.
- Use cross-product OKRs sparingly and tie them to outcomes the involved teams can influence.
- Track flow data to find bottlenecks between teams before reorganizing.
- Move funding toward products and outcome goals in stages, starting with one or two.
- Revisit structure each quarter; West stresses change management should be built in, with executive support.
Dave West’s blog series continues with Part 3, on six guiding principles for product portfolio management, and Part 4, on organizing your product group. Read them for Scrum.org’s own principles. We haven’t reproduced them here.
Based on the four APOM areas: strategy, people, structure and value cycle. Use to define what a product is and how it operates.
Template: Product definition canvas
PRODUCT DEFINITION CANVAS Product name and customers: Value delivered (customer and business economics): STRATEGY (the why) Vision and goals: Outcome metrics: PEOPLE (the who) Team members and skills: Culture and incentives that apply: STRUCTURE (rules and tools) Governance and mandatory constraints: Third-party contracts: Process, systems and technology: VALUE CYCLE Discovery (how we validate ideas): Delivery (how we release): Operations and support (who runs it): Dependencies on other products: What reduces this product's effectiveness today? Remove or justify:
Draw it on a Miro, Mural or FigJam board, then store the agreed version in Confluence or Notion so each product has one canonical definition.
Measuring the Model with Evidence-Based Management
Most organizations measure their products: usage, revenue, satisfaction. Fewer measure the operating model that produces them. Yet Scrum.org’s APOM treats evidence as the cornerstone of every decision, including the decisions that shape the model. This guide shows how to measure whether your model is working, using ideas from Evidence-Based Management (EBM).
Why measure the model itself
If outcomes are flat, the cause may sit in product choices, or in the model itself: slow decisions, silos, funding cycles that can’t move capacity, or constraints nobody remembers the reason for. West’s APOM characteristics include removing practices that reduce a team’s effectiveness unless they’re real governance or control needs. You can’t do that without evidence about which practices slow teams down.
The four key value areas
The Evidence-Based Management guide groups measures into four key value areas. The examples below are common ones, a starting point rather than a fixed list.
| Key value area | Question it answers | Example measures |
|---|---|---|
| Current value | How much value does the product deliver to customers and the business today? | Customer satisfaction, usage, revenue per customer, employee satisfaction |
| Unrealized value | How much more value could we deliver? | Market share potential, gap between customer desire and current experience |
| Time to market | How quickly can we deliver and learn? | Release frequency, lead time, cycle time, time to restore |
| Ability to innovate | How effectively can we deliver new value? | Share of time on new work, defect trends, technical debt, innovation rate |
Measuring the principles of APOM
Scrum.org's Guiding Principles whitepaper provides specific evidence-based metrics for each principle and is the authoritative source. As an editorial starting point, here are questions that map to its four principles.
| APOM principle | Evidence question to ask | Possible signal |
|---|---|---|
| Evidence-based | Do decisions cite data and learning, and do we change course when it says so? | Share of major decisions with a recorded evidence basis |
| Empirical agility | Do we release small and learn fast? | Release frequency, time from idea to customer feedback |
| End-to-end ownership | Do teams own discovery through support, with few handoffs? | Number of handoffs per change, time waiting between teams |
| Outcome focused | Do we judge success by customer and business results? | Share of teams with an outcome target and baseline |
Flow metrics for structure
West notes that flow metrics become tools for managing the flow of work and the structure of product groups, and that data like cycle time and clarity on bottlenecks make cross-product constraints visible. Start with a few: cycle time, throughput, and where work waits. Use them to decide where to change structure, not to rank teams.
Watch out. Don’t measure individuals with these. Flow and value measures describe the system. Turn them into personal targets and you invite gaming and wreck the evidence you need.
Balance evidence with action
West stresses that evidence informs decisions and encourages behavior, but it must be balanced with action. A scorecard with forty measures leads to analysis paralysis. Pick a small set per key value area, agree thresholds for what would change your mind, and review them on a fixed cadence such as the quarterly outcome review.
A 90-day measurement plan
- Days 1 to 30: choose two or three measures per key value area; record current baselines even if rough.
- Days 31 to 60: instrument the gaps; agree owners and where numbers live.
- Days 61 to 90: hold the first evidence review; record decisions and what the data changed.
Use the evidence scorecard template to keep the scorecard on one page, with a column for the decision each measure informs.
Use quarterly to track the operating model. Based on Evidence-Based Management’s four key value areas.
Template: Evidence scorecard
EVIDENCE SCORECARD Product / group: Quarter: Current value Measure | baseline | now | decision it informs Unrealized value Measure | baseline | now | decision it informs Time to market Measure | baseline | now | decision it informs Ability to innovate Measure | baseline | now | decision it informs What did the evidence change this quarter? What will we stop, start or continue?
Keep the one-pager in Google Sheets or Excel, fed from Looker, Power BI, Tableau, Amplitude or Mixpanel. Scrum.org's Evidence-Based Management guide defines the four key value areas. Your own stack is fine here too.
Related guides in this hub
Sources
SVPG introduction; Scrum.org, Agile Product Operating Model, "Guiding Principles" whitepaper, "State of Play Part 1" (May 12, 2025), and launch release (September 12, 2024). Also: DZone, "Marty Cagan on the Product Operating Model and Scrum’s Future" (interview); SVPG, "The Product Operating Model: An Introduction"; Scrum.org, "APOM State of Play, Part 3" and "APOM Guiding Principles Have Published". The role-mapping table is editorial. Scrum.org, "APOM State of Play, Part 1" (May 12, 2025), Parts 3 and 4, and Scrum.org Community Podcast episodes on Toyota Connected and portfolio transition; Skelton and Pais, Team Topologies. The portfolio table and practical steps are editorial. Scrum.org, Agile Product Operating Model resources, "Guiding Principles" whitepaper, and "APOM State of Play, Part 1" (May 12, 2025); Scrum.org Evidence-Based Management resources. Example measures are common EBM examples; the principle table is editorial.
Further reading: Stefan Wolpers, "From Agile to the Product Operating Model" (survey results, 48 practitioners, August 2026); Scrum.org, "Unlocking the Agile Product Operating Model (APOM): Addressing the Core Barriers to Value Delivery".

Next step: turn the operating model into product decisions
An operating model only works if teams can discover what is worth building. The PPDV course covers validation, evidence and ordering assumptions.
Related: Lean Product Validation hub
Frequently Asked Questions (FAQ)
No. Scrum.org positions it as the next step beyond team-level Scrum, an organizational setting where Scrum can thrive.
Not at the core. They differ in prescriptiveness and in vocabulary.
Both draw on practitioner experience. SVPG draws on its work with product companies, Scrum.org on its trainer community and a practitioner survey. Neither is a controlled study.
Yes. Many organizations use POM for the target picture and APOM for the structure and measurement vocabulary.
Not always. Companies define the roles differently. Scrum makes the Product Owner accountable for maximizing value, and many organizations add a Product Manager alongside one or instead of one.
No. Many teams run Scrum inside a product model. What changes is who decides the solution, how outcomes get set and how discovery happens.
No. Some governance and control constraints are necessary. APOM just asks teams to understand when a constraint is fundamental and when it’s only habit.
As teams that serve product teams. They need their own customers, outcomes and a service mindset, not a request queue.
No. EBM is a framework for measuring and increasing the value an organization gets from its products, and Scrum.org includes it within APOM at portfolio and product level.
Few. Two or three per key value area is usually enough to start. Add more only when a decision needs them.