Project Risk Analysis and Decision Making Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Project Managers, Programme Managers 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-PM-097

Before you join: Participants should have experience working on projects and be familiar with basic project terms such as scope, schedule, budget, milestones, stakeholders and change control.

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

Projects fail to meet commitments when teams treat uncertainty as a reporting formality rather than a basis for decisions. Schedule delays, volatile supplier prices, technical integration failures, regulatory approvals and stakeholder opposition can change the value of a project long before an issue is formally recorded. Project leaders need to identify uncertain events early, assess their likely effects, select proportionate responses and explain residual exposure to sponsors and governance boards.

This course develops practical methods for analysing project risk and making decisions under uncertainty. Participants build risk registers using cause-event-effect statements, calibrate probability-impact assessments, analyse root causes and select response strategies. They apply three-point estimating, PERT, critical path analysis, Monte Carlo simulation, sensitivity analysis, decision trees, expected monetary value and multi-criteria decision analysis. The course also addresses risk allocation in contracts, escalation thresholds, risk reporting and governance decisions.

Teaching combines focused instructor briefings with sector-based cases, facilitated analysis, group decision exercises and simulation-based interpretation of schedule and cost results. Participants apply the methods to realistic project situations such as infrastructure delivery, technology implementation, capital investment, procurement and public-service programmes. They leave with a structured project risk management pack containing reusable templates, analysis models and an action plan for an active or forthcoming project.

The course suits project professionals who already work with schedules, budgets, stakeholders or suppliers and need stronger analytical methods for risk-informed decisions. It is particularly relevant where projects face uncertain scope, major dependencies, contractual exposure or demanding approval requirements.

What you will be able to do

  • Construct a cause-event-effect risk register with owners, triggers and response actions
  • Calibrate probability-impact criteria, risk appetite thresholds and escalation rules
  • Apply bow-tie analysis and root-cause methods to define effective risk treatments
  • Estimate schedule uncertainty using three-point estimates, PERT and critical path analysis
  • Interpret Monte Carlo schedule and cost outputs for confidence-based commitments
  • Evaluate response options using decision trees, expected monetary value and sensitivity analysis
  • Develop risk-adjusted recommendations using multi-criteria decision analysis and stated assumptions
  • Produce a project risk management plan with reporting, review and governance arrangements

Benefits of attending

For you

  • Make risk recommendations supported by stated assumptions and quantified evidence
  • Set more credible schedule and cost contingencies for project commitments
  • Explain confidence ranges and residual exposure clearly to senior decision-makers
  • Distinguish risk events, issues, assumptions, dependencies and change requests
  • Build a reusable analysis pack for current and future project assignments

For your organisation

  • Earlier identification of schedule, cost, supplier and technical exposure
  • More consistent risk scoring, ownership and escalation across projects
  • Better-informed approval decisions through quantified ranges and decision criteria
  • Clearer contingency governance and fewer unsupported reserve requests
  • Stronger evidence trail for project boards, auditors and funding authorities

Course modules

10 modules over 5 days

Participants can define project risk criteria, tolerances and governance responsibilities.

  • Risk, uncertainty and ambiguity distinguished using the Cynefin sense-making framework
  • Project objectives translated into measurable risk criteria and tolerance thresholds
  • ISO 31000 principles linked to project governance and decision rights
  • Risk appetite statements differentiated from risk capacity and exposure limits
  • Assumptions, constraints, dependencies and interfaces recorded within a project definition
  • Early-warning indicators selected for schedule, cost, technical and stakeholder risks

Participants can identify, describe and structure project risks in a usable register.

  • Work breakdown structures used to locate deliverable-level risk sources
  • Risk breakdown structures categorise technical, commercial, organisational and external threats
  • Prompt lists apply PESTLE, SWOT and assumptions analysis systematically
  • Cause-event-effect statements replace vague risk descriptions and duplicated entries
  • Interviews and facilitated workshops surface divergent expert risk perceptions
  • Opportunities identified alongside threats using upside event and benefit statements

Participants can prioritise risks using calibrated qualitative assessment methods.

  • Risk register fields define owners, causes, events, effects and responses
  • Probability-impact matrices calibrated with project-specific scoring definitions and escalation thresholds
  • Ordinal scales avoid false precision when evidence remains incomplete
  • Risk proximity assesses when an event may affect project objectives
  • Risk urgency combines proximity, response lead time and decision deadlines
  • Risk data quality assessments expose confidence gaps before prioritisation
  • Heat maps communicate priorities without treating scores as precise forecasts

Participants can select and document proportionate treatments for priority risks.

  • Bow-tie analysis maps preventive controls, event escalation and recovery barriers
  • Five Whys distinguishes symptoms from controllable root causes
  • Response strategies select avoid, transfer, mitigate, accept or escalate actions
  • Contingency reserves separated from management reserves and response budgets
  • Action owners define trigger conditions, due dates and evidence requirements
  • Residual and secondary risks assessed after planned treatment actions

Participants can analyse schedule uncertainty and set confidence-based completion commitments.

  • Three-point estimates capture optimistic, most-likely and pessimistic activity durations
  • PERT estimates calculate expected duration and variance from three points
  • Critical path analysis identifies activities driving completion-date exposure
  • Schedule risk analysis tests logic links, calendars and resource assumptions
  • Monte Carlo simulation produces completion-date confidence levels and percentile dates
  • Schedule contingency set against P-level commitments and contractual milestones

Participants can model cost uncertainty and justify contingency requirements.

  • Cost risk registers connect uncertain quantities, rates, escalation and exchange movements
  • Three-point cost estimates model range distributions for major work packages
  • Sensitivity analysis ranks variables by influence on total project cost
  • Monte Carlo cost models generate percentile forecasts and contingency requirements
  • Tornado charts communicate key cost drivers to approval authorities
  • Contingency drawdown rules distinguish expected risk costs from scope changes

Participants can compare response options using transparent analytical decision methods.

  • Decision trees value alternative responses using probabilities, payoffs and expected monetary value
  • Expected value calculations test whether mitigation expenditure is economically justified
  • Decision criteria separate mandatory constraints from weighted trade-off factors
  • Multi-criteria decision analysis compares options with transparent scoring weights
  • Value of information determines when further investigation warrants delay
  • Real options thinking frames staged commitments under material uncertainty

Participants can allocate external risks and communicate exposure to affected parties.

  • Contract allocation assigns risks to parties best able to control them
  • Fixed-price, reimbursable and target-cost contracts shift different risk exposures
  • Supplier due diligence tests financial capacity, capability and delivery dependencies
  • Risk communication plans tailor messages, thresholds and reporting frequency
  • Stakeholder mapping anticipates acceptance, regulatory and community consent risks
  • Escalation protocols specify decision authorities for risks beyond tolerances

Participants can maintain current risk information and trigger timely management action.

  • Risk reviews update likelihood, impact, ownership, triggers and response status
  • Key risk indicators connect leading signals to threshold-based management action
  • Risk burndown charts track aggregate exposure through project phases
  • Change control assesses risk effects before approving scope or schedule changes
  • Issue logs distinguish realised events from uncertain future risk entries
  • Lessons learned capture assumptions that proved unreliable and controls that failed

Participants can present risk-informed recommendations and establish a practical implementation plan.

  • Integrated risk reports combine qualitative priorities, quantitative ranges and decision requests
  • Risk-adjusted business cases state assumptions, confidence levels and residual exposure
  • Governance packs present scenarios, recommendations, owners and required approvals
  • Project risk management plans align registers, analyses, reviews and escalation routes
  • Application priorities select immediate improvements for participants' active projects
  • Personal action plans schedule stakeholder conversations, analyses and review checkpoints

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

What you take back to work

  1. Cause-event-effect project risk register template
  2. Probability-impact scoring and escalation matrix
  3. Bow-tie risk treatment worksheet
  4. Three-point schedule and cost estimation model
  5. Decision tree and multi-criteria analysis template
  6. Project risk management and reporting plan

Who should attend

  • Project Managers — need defensible methods for managing uncertainty across delivery commitments
  • Programme Managers — need to aggregate risk exposure and escalate cross-project decisions
  • Project Controls Professionals — need to connect schedule, cost and risk analysis
  • Project Engineers — need to assess technical uncertainties, interfaces and treatment actions
  • Procurement and Contract Managers — need to allocate supplier and contractual risks appropriately
  • PMO Managers — need consistent risk registers, reporting standards and review routines

Skills and tools covered

Risk identificationQuantitative risk analysisSchedule risk modellingDecision analysisRisk response planningRisk governance

Tools and standards

ISO 31000, PMI Practice Standard for Project Risk Management, Monte Carlo simulation, Multi-criteria decision analysis

How the course runs

Training methodology

The course uses short instructor briefings to introduce each method, followed by case work drawn from capital projects, technology delivery, procurement and public programmes. Participants analyse risk statements, prioritise exposures, interpret schedule and cost uncertainty outputs, and make decisions using structured criteria. Group exercises test competing assumptions and stakeholder views. Simulations demonstrate how uncertainty affects dates, budgets and response choices. Each participant prepares an application plan linking the methods, templates and reporting routines to a current project context.

Requirements and prerequisites

Participants should have experience working on projects and be familiar with basic project terms such as scope, schedule, budget, milestones, stakeholders and change control. They should be able to read a simple project plan or risk register and discuss decisions affecting time, cost or delivery performance. Prior use of probability models, Monte Carlo simulation, spreadsheets or formal risk standards is not required. This is not an introductory project management course; participants without project delivery experience may find the cases and governance discussions less accessible.

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

Participants should have practical exposure to project work, including schedules, budgets, stakeholders or suppliers. Formal risk management training and quantitative modelling experience are not required.

Bring a laptop if possible, along with non-confidential details of a current or recent project. A project schedule, risk register or business case can help participants relate the methods to their work, but none is mandatory.

It is designed for project managers, programme managers, project controls staff, engineers, PMO professionals and procurement specialists. It is most useful for people who contribute to decisions on time, cost, scope, contracts or delivery risk.

General project management courses cover the full project lifecycle, including scope, scheduling, cost control and stakeholder management. This course concentrates on analysing uncertainty, selecting risk responses and making defensible decisions using qualitative and quantitative methods.

Participants can improve an existing risk register, define clearer triggers and response owners, and review contingency assumptions. They can also use decision trees, sensitivity analysis and confidence ranges when preparing recommendations for sponsors or project boards.

Each day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The five days progress from risk framing and identification through qualitative assessment, quantitative schedule and cost analysis, decision methods, reporting and application planning.

Questions about this course?

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