Systems Thinking in Project Management Training Course

Participants can set useful system boundaries for a project issue without excluding critical influences.

• Defining focal system, environment, subsystems and relevant external actors
• Boundary critique tests for excluded stakeholders, assumptions and consequences
• PESTLE factors linked to project constraints and changing conditions
• Mapping upstream inputs, downstream outcomes and operational handovers
• Identifying boundary disputes between sponsors, users, suppliers and regulators
• Framing project questions that support systems-level investigation

Participants can map stakeholder perspectives and critical interfaces affecting project performance.

• Stakeholder maps showing influence, interest, dependencies and conflicting objectives
• Rich pictures representing relationships, tensions, information flows and power
• Interface analysis between project teams, business units and external suppliers
• Customer journeys connected with project outputs, adoption and service outcomes
• Surfacing tacit assumptions through perspective comparison and structured questioning
• RACI limitations when accountability crosses organisational and contractual boundaries

Participants can build and interpret causal loop diagrams for project delivery problems.

• Variables written as measurable conditions rather than vague management labels
• Causal links marked with polarity and directional influence
• Reinforcing loops explaining escalation, growth and accelerating project pressures
• Balancing loops explaining control, limits and corrective action
• Time delays identified between decisions, actions and observed results
• Causal loop diagrams tested against evidence, stakeholder experience and logic

Participants can identify feedback structures that produce delayed or disproportionate project outcomes.

• Feedback loops connecting schedule pressure, overtime, errors and rework
• Delay structures affecting approvals, procurement, recruitment and benefit realisation
• Nonlinear relationships between workload, productivity, quality and team morale
• Threshold effects triggered by capacity limits, compliance breaches or stakeholder resistance
• Tracing second-order consequences of accelerated delivery and cost reduction decisions
• Leading indicators selected for feedback loops before performance deterioration appears

Participants can use system archetypes to diagnose common patterns behind project difficulties.

• Fixes that Fail applied to short-term schedule recovery actions
• Shifting the Burden diagnosed in consultant dependency and capability gaps
• Limits to Growth examined through resource, approval and supplier constraints
• Success to the Successful assessed in portfolio funding and priority decisions
• Escalation patterns recognised in competing workstreams and departmental targets
• Tragedy of the Commons analysed for shared specialists and technical environments

Participants can structure ambiguous project situations using Soft Systems Methodology.

• Soft Systems Methodology for problems lacking agreed definitions or objectives
• Rich pictures developed from multiple stakeholder perspectives and contested concerns
• CATWOE analysis identifying customers, actors, transformation, worldview, owners and environment
• Root definitions written using purposeful activity system language
• Conceptual activity models compared with current project practices
• Feasible and desirable changes identified through stakeholder dialogue

Participants can model accumulations and rates that affect project throughput and delivery capacity.

• Stocks distinguished from flows in work backlog, defects and available capacity
• Stock-and-flow diagrams built for project demand, throughput and rework
• Little's Law used to examine work-in-progress and cycle time
• Resource loading linked with utilisation, queues and service delays
• Backlog growth traced through intake rates, completion rates and quality losses
• Capacity policies assessed for delayed effects on project commitments

Participants can analyse project risk interactions, escalation paths and control feedback.

• Risk registers extended with causal dependencies, triggers and feedback pathways
• Bowtie analysis connecting threats, preventive controls, consequences and recovery controls
• Risk networks showing common causes across schedule, cost and quality exposure
• Control effectiveness assessed through detection delays and response capacity
• Assumption logs linked to uncertainty, decision points and monitoring indicators
• Escalation criteria designed for emerging system-level risk patterns

Participants can assess how governance structures influence project decisions and delivery outcomes.

• Governance structures mapped as decision rights, information routes and escalation paths
• Decision latency measured from issue detection through authorised action
• Stage gates assessed for learning value, control value and delay effects
• Information asymmetry examined between sponsors, delivery teams and suppliers
• Management dashboards tested for feedback quality, timing and decision usefulness
• Decision logs used to trace assumptions, choices and resulting consequences

Participants can assemble a first systems analysis of a selected project issue.

• Selecting a material project issue with multiple interacting causes
• System boundary statement drafted for the chosen project challenge
• Stakeholder and interface map created from available project evidence
• Initial causal loop diagram developed around observed delivery symptoms
• Key assumptions recorded with owners, evidence sources and review dates
• Problem framing reviewed against sponsor objectives and operational outcomes

Participants can identify system effects hidden by conventional project schedules.

• Critical path assumptions tested against resource constraints and feedback effects
• Dependency structure matrices reveal coupled tasks and iterative rework cycles
• Schedule buffers assessed for protection, visibility and behavioural consequences
• Milestone reporting examined for false certainty and delayed risk signals
• Rolling-wave planning linked to uncertainty reduction and learning cycles
• Recovery plans tested for quality losses, capacity strain and downstream delays

Participants can diagnose resource and team dynamics that influence project execution.

• Resource pools mapped across projects, operational work and unplanned demand
• Multitasking effects examined through switching costs, queues and incomplete work
• Skills matrices linked to bottlenecks, single points of failure and succession
• Overtime feedback analysed for fatigue, defects, absence and productivity decline
• Team psychological safety connected with issue reporting and corrective learning
• Supplier capacity assessed through lead times, incentives and contractual dependencies

Participants can model how project outputs produce adoption and sustained benefits.

• Benefits dependency networks connect outputs, capabilities, outcomes and strategic objectives
• Adoption loops analysed through training, usability, confidence and local support
• Change impact assessments linked to process, role, technology and policy interfaces
• Resistance patterns distinguished from valid operational concerns and design defects
• Benefits measures separated into leading indicators, outcomes and longer-term impacts
• Transition plans address handover capacity, ownership and service stabilisation

Participants can design and compare interventions for complex project situations.

• Intervention points selected from causal structures, constraints and stakeholder influence
• Scenario planning tests plausible changes in demand, funding and supplier performance
• Policy resistance anticipated when controls conflict with local incentives
• Small tests designed to generate evidence before wider project commitments
• Trade-off matrices compare intervention cost, timing, risk and expected effects
• Monitoring plans connect intervention actions with leading feedback indicators

Participants can adapt project controls to provide earlier and more useful system feedback.

• Integrated control plans connect scope, schedule, cost, risk and benefits measures
• Leading indicators chosen for workload, rework, decision latency and adoption
• Control limits defined for escalation before critical thresholds are crossed
• Earned value data interpreted alongside quality, capacity and dependency indicators
• Change control evaluates system-wide effects before approval decisions
• Lessons learned structured around patterns, causes, interventions and observed outcomes

Participants can communicate systems findings clearly to different project decision-makers.

• Audience-specific system maps prepared for sponsors, teams and operational owners
• Diagram conventions improve readability, traceability and challenge of causal claims
• Narrative walkthroughs explain feedback loops without specialist terminology
• Evidence labels distinguish facts, estimates, assumptions and stakeholder perceptions
• Briefing papers link system diagnosis with decisions, owners and timescales
• Facilitated review methods surface disagreement without losing analytical discipline

Participants can apply systems thinking to interactions among projects, programmes and portfolios.

• Portfolio dependency maps identify shared resources, enabling projects and bottlenecks
• Programme outcomes traced through capabilities, adoption and operating model changes
• Prioritisation criteria tested for unintended effects on strategic delivery capacity
• Funding cycles examined for stop-start costs, talent loss and supplier instability
• Cross-project risk aggregation reveals correlated threats and common control weaknesses
• Portfolio reviews use feedback indicators alongside financial and milestone reporting

Participants can establish learning and assurance practices that respond to changing project conditions.

• Project assurance questions test assumptions, interfaces, feedback and adaptive capacity
• After-action reviews examine decisions, system conditions and delayed consequences
• Double-loop learning challenges governing assumptions behind recurring project issues
• Knowledge repositories capture causal patterns rather than isolated lessons
• Adaptive review cycles align monitoring frequency with project uncertainty and change
• Independent challenge strengthens evidence, alternatives and intervention decisions

Participants can integrate multiple systems methods into a coherent project analysis.

• Boundary, stakeholder and causal analyses reconciled into one project system model
• Priority loops selected using impact, uncertainty, controllability and evidence criteria
• Stock-and-flow elements added where accumulation drives delivery performance
• Archetypes used to test whether proposed explanations match recurring patterns
• Risk, governance and benefits implications derived from the integrated model
• Intervention options refined with owners, dependencies, indicators and review points

Participants can build, review and present a complete project systems analysis and intervention plan.

• Complete project systems analysis assembled from boundary, stakeholder and causal evidence
• Priority delivery problem framed with explicit assumptions and success measures
• Causal loop diagram presented with feedback, delays and critical uncertainties
• Intervention plan specifies actions, owners, dependencies, indicators and decision dates
• Peer review challenges model logic, evidence quality and implementation feasibility
• Executive presentation communicates findings, recommendations and required governance decisions