Systemic approach training

Lesson 1 • What Is a System

Defines systems through components, boundaries, and purpose. Establishes shared language used throughout the entire course.

Lesson 2 • Mental Models and Perception

Examines how personal assumptions shape system perception. Recognizing mental models is the first step toward objective analysis.

Lesson 3 • Core Vocabulary of Systems

Introduces stocks, flows, feedback, and delays as foundational terms. Precise use of these terms enables accurate system description.

Lesson 1 • Stocks, Flows, and Accumulation

Deepens understanding of stocks as accumulators and flows as rates of change. Connects structural elements to observable outcomes.

Lesson 2 • Balancing Feedback Loops

Examines goal-seeking loops that stabilize systems around targets. Distinguishes balancing from reinforcing dynamics in practice.

Lesson 3 • Delays and System Behavior

Shows how time delays between action and response create instability. Students learn to locate delays and anticipate their consequences.

Lesson 4 • Archetypes of System Behavior

Introduces recurring structural patterns such as limits to growth and shifting the burden. Pattern recognition accelerates diagnosis in new contexts.

Lesson 1 • Building Causal Loop Diagrams

Guides step-by-step construction of diagrams from narrative descriptions. Students practice translating qualitative stories into visual maps.

Lesson 2 • Introduction to Causal Loop Diagrams

Teaches notation, polarity, and loop labeling for causal loop diagrams. Accurate diagrams are the primary tool for communicating system structure.

Lesson 3 • Reading and Critiquing System Maps

Develops the ability to evaluate maps created by others for accuracy and completeness. Critical reading prevents misdiagnosis based on flawed diagrams.

Lesson 1 • Sensitivity Analysis and Testing

Explores how parameter changes affect model behavior to test robustness. Sensitivity testing builds confidence in model validity before decisions are made.

Lesson 2 • Analyzing Simulation Output

Teaches interpretation of behavior-over-time graphs and reference modes. Students connect output patterns to underlying structural causes.

Lesson 3 • Building a Simple Simulation Model

Walks through constructing a single-loop model with one stock and two flows. Hands-on building solidifies understanding of model mechanics.

Lesson 4 • Principles of Dynamic Modeling

Introduces the logic of converting diagrams into quantitative models. Establishes why simulation reveals behavior invisible in static maps.

Lesson 1 • Stakeholder Perspectives in Diagnosis

Integrates multiple viewpoints to build a richer system map. Diverse perspectives reduce blind spots and increase diagnostic accuracy.

Lesson 2 • Problem Articulation and Framing

Teaches how to frame a problem as a dynamic hypothesis before mapping. Clear framing focuses diagnostic effort and prevents scope creep.

Lesson 3 • Identifying Feedback Driving Problems

Locates the dominant feedback loops responsible for problematic behavior. Feedback identification is the bridge between diagnosis and intervention design.

Lesson 1 • Policy Resistance and Unintended Consequences

Examines why well-intentioned policies often backfire in complex systems. Anticipating resistance is essential before committing to an intervention.

Lesson 2 • Evaluating Intervention Options

Provides criteria for comparing interventions on impact, feasibility, and risk. Structured evaluation prevents selection of politically easy but ineffective fixes.

Lesson 3 • Leverage Points in Systems

Introduces Meadows' hierarchy of leverage points from parameters to paradigms. Understanding leverage prevents wasted effort on low-impact interventions.

Lesson 1 • Measuring Systemic Health

Defines indicators that reflect system-level performance rather than isolated metrics. Systemic metrics prevent local optimization at the expense of the whole.

Lesson 2 • Managing Organizational Change Systemically

Uses systemic diagnosis to plan and sequence change initiatives. Sequencing based on feedback structure reduces resistance and improves adoption.

Lesson 3 • Organizations as Systems

Reframes organizational structures, processes, and culture as system elements. This perspective reveals why standard management fixes often fail.

Lesson 4 • Team and Leadership Dynamics

Analyzes team performance and leadership behavior as feedback-driven processes. Leaders who understand these dynamics make more effective structural decisions.

Lesson 1 • Facilitating Group Model Building

Develops skills to lead participatory modeling sessions with diverse stakeholders. Facilitated modeling builds shared understanding and commitment to solutions.

Lesson 2 • Multi-System Interactions

Examines how separate systems couple and create emergent cross-system behavior. Understanding coupling prevents interventions that shift problems across boundaries.

Lesson 3 • Handling Complexity and Uncertainty

Provides strategies for acting effectively when system boundaries and data are incomplete. Robust decisions under uncertainty require explicit assumption management.

Lesson 4 • Capstone Project Design

Guides students through selecting, scoping, and structuring a full systemic analysis project. The capstone integrates every competency developed across all prior chapters.