• Example in Practice

    Situation: Portfolio wants to cut cost.

    Local view: Reduce the number of developers per team.

    System view: That slows down delivery → delays revenue → increases costs downstream.

    Systems Thinking helps LPM see this ripple effect and instead find a better lever – like reducing WIP or improving flow efficiency.

    LPM leaders don’t just fix symptoms – they fix the system that causes them.

    LPM is on Amazon

  • Systems Thinking Core Principles (Applied to LPM)

    Principles

    Principle: Optimize the whole. Application in LPM: Fund and manage Value Streams, not siloed projects. Result: End-to-end flow of value.

    Principle: Understand cause and effect. Application in LPM: Use metrics to see how policy changes affect outcome. Result: Better, evidence-based improvement.

    Principle: Recognize feedback loops. Application in LPM: Use PI reviews and portfolio Kanban to learn and adapt. Result: Continuous portfolio improvement.

    Principle: Balance stability and change. Application in LPM: Maintain Lean guardrails while adapting budgets. Result: Agility with control.

    Principle: See interdependencies. Application in LPM: Coordinate strategy, finance, and execution as one system. Result: Alignment from Vision to Delivery.

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  • Why Systems Thinking Matters to LPM

    Traditional portfolio management

    often creates fragmented optimization – each team, department, or project maximizes its own metrics (speed, cost, utilization), but the overall system slows down.

    LPM uses Systems Thinking to:

    Align strategy, funding, and delivery as one connected flow.

    Identify bottlenecks that block value across the enterprise.

    Prevent local optimizations that reduce overall value.

    Systems Thinking helps LPM leaders “see the forest, not just the trees.”

    LPM is on Amazon

  • Meaning of Systems Thinking in LPM

    Systems Thinking in LPM

    means seeing the whole enterprise as an interconnected system – not as separate projects, departments, or budgets – and making the portfolio decisions that optimize the entire flow of value, not local parts.

    It is about understanding that:

    • Every portfolio decision affects multiple parts of the organization.
    • Optimizing one area in isolation (e.g., cost-cutting in one Values Stream) can hurt the system as a whole.
    • True success = global optimization, not local efficiency.

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  • Game Theory — Bottom line

    Bottom line:

    In Lean Portfolio Management (LPM), Game Theory helps leaders design systems, incentives, and decisions where everyone’s best move is to collaborate, not compete – creating more value for the whole enterprise

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  • Game Theory Example

    Examples:

    1) Budget and Investment decisions

    a) Each portfolio or product team wants funding

    b) Game Theory helps leaders design fair rules and incentives so teams collaborate instead of compete destructively. Example: shifting from annual “winner-takes-all” budgeting to continuous flow funding encourages cooperation – a positive-sum game.

    2) Prioritization of work

    a) When teams share capacity (people, systems, budgets). one team’s decision affects others.

    b) Game Theory helps find win-win trade-offs where all parts of of the portfolio gain value rather than fighting for local wins.

    3) Supplier or Partner Negotiations

    a) LPM leaders use Game Theory to help build trust-based relationships with vendors. aiming for mutual benefit instead of one side “winning”.

    4) Change Management and Adoption

    a) When introducing new Lean Agile ways of working, some leaders or teams might resist.

    b) Game Theory helps anticipate reactions and design incentives so everyone chooses cooperation instead of resistance.

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  • Game Theory

    Game Theory is about making smart choices when other’s choices matter.

    It helps people or groups decide what to do when:

    1) They depend on each other

    2) They have limited resources

    3) They each want to “win” or do well

    In LPM. leaders, teams, and business units are all trying to create value, use budgets wisely, and reach strategic goals.

    But – just like players in a game – they have to coordinate and balance their decisions. That’s where Game Theory Thinking helps.

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  • Key Insight

    Leverage in LPM is about finding and pulling the right levers – not doing more work, but making smarter, smaller changes that have system-wide impact.

    In LPM, leverage means identifying where minimal effort – in policy, funding, or governance – creates maximum improvement in enterprise agility and value flow.

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  • Leverage and Continuous Improvement

    Leverage and Continuous Improvement

    LPM continuously looks for new leverage points using inspect and adapt workshops, metrics, and retrospectives.

    Common leverage areas:

    Aligning strategy and execution

    Improving portfolio flow metrics

    Balancing capacity across Value Streams

    Evolving governance models

    Each improvement acts like a “lever” that amplifies value.

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  • Example in Practice

    Situation:

    Teams are Agile, but portfolio decisions are slow.

    Portfolio analyzes the bottleneck: all funding approvals go through a yearly budget committee.

    The Leverage point?

    Move to Lean Budgeting with Participatory decision-making.

    Result:

    Value Streams get funded continuously

    Teams deliver faster

    Strategy adjusts dynamically

    A single policy change produced a portfolio-wide improvement – that’s LPM leverage.

    LPM is on Amazon