Systems Thinking and Decision-Making Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Senior Managers, Team Leaders and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-LD-325

Before you join: Participants should have experience supervising work, managing projects, analysing business issues or contributing to operational decisions.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Leaders often face recurring problems that resist local fixes: service backlogs return after a staffing increase, risk controls slow customer onboarding, cost reductions create quality failures, and one department’s target damages another’s results. These outcomes arise from interdependence, delayed effects, feedback loops and assumptions that remain unseen in conventional problem-solving. Systems thinking helps managers frame these issues as patterns of behaviour rather than isolated incidents, then make decisions that account for wider consequences.

This course teaches team leaders, managers and decision makers how to map complex situations, test causal assumptions and identify high-value intervention points. Participants use causal loop diagrams, stock-and-flow models, systems archetypes, stakeholder mapping and the Cynefin framework to diagnose operational and strategic challenges. They learn to distinguish symptoms from structural causes, assess intended and unintended consequences, work with competing priorities, and establish measures that reveal whether a decision is improving the whole system.

Instruction combines focused briefings with facilitated case analysis, group mapping, decision simulations and application planning. Cases reflect common challenges in banking, government, NGOs, infrastructure, healthcare, customer operations and corporate functions. Participants apply the methods to a live issue from their own work and leave with a documented systems analysis, a decision-framing template, a stakeholder map, a set of leading indicators and a 90-day application plan.

The course is designed for professionals who already make, influence or implement cross-functional decisions. It is particularly useful where performance depends on coordination between functions, policy choices have delayed consequences, or repeated corrective actions have failed to resolve the underlying problem.

What you will be able to do

  • Construct causal loop diagrams that explain reinforcing and balancing feedback
  • Diagnose recurring performance problems using systems archetypes and behaviour-over-time graphs
  • Model accumulations, flows and delays using basic stock-and-flow diagrams
  • Frame complex decisions with boundaries, stakeholders, assumptions and success measures
  • Identify high-influence intervention points using system structure and feedback analysis
  • Assess intended and unintended consequences through scenario-based decision testing
  • Select leading and lagging indicators that monitor whole-system performance
  • Produce a 90-day systems application plan for a live workplace issue

Benefits of attending

For you

  • Diagnose repeated problems before commissioning another short-term corrective action
  • Explain cross-functional consequences with clear visual system maps
  • Challenge simplistic cause-and-effect claims using feedback and delay analysis
  • Make defensible decisions when stakeholders hold competing views
  • Build a practical record of systems analysis for leadership discussions

For your organisation

  • Fewer repeated fixes that shift problems between teams or customer channels
  • Earlier identification of policy, control and process side effects
  • Better coordination around shared measures and cross-functional dependencies
  • More disciplined decisions on resource allocation and operational priorities
  • Clearer intervention plans with leading indicators and review points

Course modules

10 modules over 5 days

Participants can frame management issues as interconnected systems rather than isolated events.

  • Systems boundaries defined through purpose, stakeholders, measures and decision authority
  • Events, patterns and structures distinguished using the Iceberg Model
  • Interdependence mapped between people, processes, policies, technology and customer outcomes
  • Mental models surfaced through assumptions, language and conflicting problem definitions
  • Linear root-cause analysis compared with feedback-based systems diagnosis
  • Problem statements rewritten to expose interactions, time horizons and trade-offs

Participants can identify feedback structures that create growth, stability or recurring failure.

  • Reinforcing loops explain compounding growth, decline and escalating workload
  • Balancing loops show control actions, resistance and target-seeking behaviour
  • Loop polarity labelled using causal language and directional relationships
  • Behaviour-over-time graphs reveal trends hidden by point-in-time reporting
  • Delays identified between action, operational change and measured results
  • Loop narratives connect diagram structure to observable management outcomes

Participants can create and test causal loop diagrams for a complex workplace problem.

  • Variable names written as measurable quantities rather than vague labels
  • Causal loop diagrams built from direct relationships and explicit polarity
  • Closed feedback loops traced across functions, suppliers and customer channels
  • Ambiguous causal claims tested with counterfactual questions and evidence
  • Key loops prioritised by impact, controllability and decision relevance
  • Diagram boundaries revised when external drivers materially affect outcomes

Participants can use stock-and-flow reasoning to explain accumulations and time lags.

  • Stocks identified as accumulated work, cash, inventory, capability or trust
  • Inflows and outflows connected to backlog, capacity and service performance
  • Stock-and-flow diagrams distinguish rates from accumulated quantities
  • Little's Law links work in progress, throughput and cycle time
  • Queue growth explained through arrival rates, service rates and variability
  • Delay effects considered before judging intervention performance or assigning accountability

Participants can recognise common system structures behind repeated management problems.

  • Fixes That Fail exposes symptom relief followed by delayed deterioration
  • Shifting the Burden distinguishes fundamental solutions from dependency creation
  • Limits to Growth identifies constraints that halt initially successful initiatives
  • Success to the Successful reveals self-reinforcing resource allocation patterns
  • Tragedy of the Commons diagnoses depletion of shared organisational resources
  • Archetype selection tested against evidence, incentives and stakeholder behaviour

Participants can structure decisions when causes, options and consequences remain uncertain.

  • Cynefin framework separates clear, complicated, complex and chaotic decision contexts
  • Decision boundaries specify what is controllable, influential and outside scope
  • Stakeholder maps identify affected groups, power relationships and decision rights
  • Assumption registers distinguish evidence, judgement, uncertainty and contested claims
  • Objectives translated into outcome measures, constraints and acceptable trade-offs
  • Reversible and irreversible decisions assigned different evidence thresholds

Participants can select interventions that improve system performance without creating predictable harm.

  • Meadows' leverage points ranked from parameters to system purpose
  • Intervention options generated across information flows, rules, incentives and goals
  • Local optimisation tested against enterprise outcomes and customer impact
  • Second-order effects assessed through affected loops, stocks and delays
  • Pilot boundaries set using hypotheses, safeguards and stop criteria
  • Decision options compared using impact, feasibility, risk and reversibility

Participants can design measures that reveal whole-system performance and unintended effects.

  • Leading indicators selected for capacity, demand, quality and stakeholder behaviour
  • Lagging indicators linked to outcomes, cost, risk and customer experience
  • Balanced scorecards reviewed for conflicting targets and gaming incentives
  • Control charts distinguish common-cause variation from special-cause signals
  • Measurement delays documented before performance conclusions are drawn
  • Review cadences align operational signals with management decision cycles

Participants can lead conversations that build shared understanding across organisational boundaries.

  • Facilitation questions surface competing assumptions without assigning individual blame
  • Ladder of Inference separates observations, interpretations, conclusions and actions
  • Shared problem definitions negotiated before selecting solutions or owners
  • Cross-functional dependencies documented through handoffs, incentives and information flows
  • Escalation routes clarify decisions requiring senior sponsorship or policy changes
  • Learning reviews capture surprises, adaptations and emerging system effects

Participants can prepare a practical systems-based action plan for a current workplace decision.

  • Live issue scoped using a decision statement and system boundary
  • Causal map refined around priority feedback loops and key uncertainties
  • Intervention hypothesis documented with predicted benefits and possible side effects
  • Stakeholder commitments assigned for actions, evidence gathering and review
  • Leading indicators selected with baselines, thresholds and reporting owners
  • Ninety-day application plan schedules decisions, checkpoints and learning reviews

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Causal loop diagram template
  2. Stock-and-flow analysis worksheet
  3. Systems archetype diagnostic checklist
  4. Complex decision-framing canvas
  5. Whole-system indicator set
  6. 90-day systems application plan

Who should attend

  • Senior Managers — to improve decisions spanning functions, budgets and competing priorities
  • Team Leaders — to resolve recurring operational problems beyond immediate symptoms
  • Programme Managers — to manage dependencies, delivery risks and delayed project effects
  • Policy Managers — to test policy consequences before implementation
  • Risk and Compliance Managers — to identify control interactions and unintended behavioural responses
  • Business Analysts — to structure complex problem statements and decision evidence

Skills and tools covered

Causal loop mappingSystems diagnosisDecision framingFeedback analysisStakeholder alignmentIntervention design

Tools and standards

Iceberg Model, Causal Loop Diagrams, Systems Archetypes, Cynefin Framework

How the course runs

Training methodology

The course uses short instructor briefings to introduce each method, followed by facilitated case work, group mapping and decision simulations. Participants analyse feedback loops, delayed effects and competing objectives in realistic management scenarios, then apply the same tools to a workplace issue. Peer review tests assumptions, system boundaries and proposed interventions. Individual application planning converts analysis into decision actions, measures, owners and review dates. The instructor provides structured templates and targeted feedback throughout.

Requirements and prerequisites

Participants should have experience supervising work, managing projects, analysing business issues or contributing to operational decisions. They should be comfortable discussing performance measures, process steps, stakeholders and trade-offs in their own area. Familiarity with basic process mapping or root-cause analysis is helpful but not essential. No prior study of systems thinking, mathematics, statistics, coding, simulation software or engineering is required. Participants should bring one current workplace issue involving multiple teams, recurring performance problems or uncertain decision consequences.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You need experience of workplace decisions, operational processes or project delivery. No prior systems thinking training, quantitative modelling or specialist software knowledge is required.

Bring a current issue involving recurring problems, multiple stakeholders or competing performance measures. A short description of the issue, available measures and key process steps will help you apply the tools directly.

It suits managers, team leaders, programme professionals, analysts and specialists who influence decisions across team boundaries. It is most useful for people dealing with persistent operational, service, policy or transformation challenges.

Root-cause methods often seek a discrete cause for a defined failure. This course examines feedback loops, delays, accumulations, incentives and interactions that can cause the same problem to return or move elsewhere.

You will use course templates to map a live work issue, test assumptions and identify intervention options. The final module converts this work into a 90-day plan with measures, owners and review points.

The programme contains ten modules delivered in teaching order across five training days, running 08:30 to 16:30. Each day includes approximately 6.5 contact hours, with instructor input, cases, group work and individual application time.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.