Project Appraisal and Risk Management Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Project Managers, Programme Managers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-PM-110

Before you join: Participants should have some experience working on projects, programmes, business cases, budgets, procurement activities or operational improvement initiatives.

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

Major capital, infrastructure, technology and service-improvement projects compete for limited funding, management attention and delivery capacity. A project may appear attractive until demand assumptions, operating costs, regulatory conditions, procurement constraints or implementation risks are tested. Poor appraisal can approve projects that destroy value, while weak risk management can leave viable projects without realistic contingencies, governance controls or recovery actions.

This course develops the analytical and management disciplines required to assess projects before approval and control uncertainty through delivery. Participants define the investment case, analyse strategic fit, estimate costs and benefits, forecast project cash flows, calculate NPV, IRR, payback and benefit-cost ratios, and test assumptions through sensitivity, scenario and break-even analysis. They also identify, assess, treat and monitor project risks using ISO 31000 principles, risk registers, probability-impact matrices, risk owners, contingency planning and quantitative risk analysis.

Teaching combines instructor briefings with worked cases from infrastructure, public services, banking, manufacturing, technology and development programmes. Participants apply appraisal and risk methods to a selected project or realistic case, building materials progressively throughout the course. They leave with a structured project appraisal pack containing an investment case, financial model, assumptions log, risk register, treatment plan, contingency approach and governance recommendations suitable for adaptation at work.

The course suits professionals involved in selecting, funding, sponsoring, planning or governing projects where decisions require evidence beyond a basic business case. It is particularly useful where projects have material financial exposure, public accountability, service-delivery consequences or significant delivery uncertainty.

What you will be able to do

  • Develop a project appraisal framework linking strategic objectives, options and investment criteria
  • Build project cash-flow forecasts using capital costs, operating costs, benefits and timing assumptions
  • Calculate NPV, IRR, payback period and benefit-cost ratio for investment decisions
  • Test project viability through sensitivity analysis, scenario analysis and break-even analysis
  • Prepare an investment case with evidence, assumptions, options and approval recommendations
  • Construct an ISO 31000-aligned project risk register with accountable risk owners
  • Apply qualitative and quantitative risk analysis to prioritise uncertainty and contingency requirements
  • Present a complete project appraisal and risk management pack to a decision panel

Benefits of attending

For you

  • Produce investment cases that withstand finance, sponsor and governance scrutiny
  • Make clearer recommendations using NPV, IRR and risk-adjusted assumptions
  • Identify weak project assumptions before they become delivery problems
  • Lead structured risk reviews with owners, actions and escalation thresholds
  • Build a reusable appraisal and risk management portfolio for future projects

For your organisation

  • Improves capital allocation through consistent project comparison and valuation criteria
  • Reduces approval risk by exposing unsupported benefits and cost assumptions early
  • Strengthens project controls through owned risks, treatments and contingency triggers
  • Creates clearer audit trails for investment decisions and governance approvals
  • Supports earlier intervention on projects facing affordability or delivery threats

Course modules

20 modules over 10 days

Participants can frame a project appraisal around strategic need, options and decision criteria.

  • Project appraisal purpose, decision gates and evidence requirements for approval
  • Strategic alignment assessed through objectives, policies, portfolios and benefit priorities
  • Problem statements separated from proposed solutions and preferred delivery approaches
  • Theory of change links project outputs, outcomes, benefits and assumptions
  • Options appraisal compares do-nothing, minimum, preferred and alternative options
  • Investment criteria distinguish financial returns, public value and strategic benefits

Participants can define a project scope and assumptions suitable for appraisal.

  • Project charter defines objectives, scope boundaries, constraints and success criteria
  • Work breakdown structure identifies deliverables, work packages and control accounts
  • Assumptions log records sources, confidence levels, owners and review dates
  • Dependencies mapped between approvals, suppliers, technology, funding and operations
  • Stakeholder analysis identifies decision makers, beneficiaries, opponents and delivery partners
  • Requirements prioritised using MoSCoW categories and acceptance criteria

Participants can establish credible demand, baseline and benefit assumptions.

  • Baseline measures establish current costs, service levels and performance gaps
  • Demand forecasting uses historical trends, drivers, segmentation and stated assumptions
  • Benefits map connects project deliverables with measurable operational and financial outcomes
  • SMART benefit measures specify baselines, targets, owners and measurement periods
  • Avoided costs distinguished from cashable savings, efficiencies and revenue benefits
  • Optimism bias considered when estimating demand, benefits and implementation performance

Participants can develop cost estimates with documented bases and uncertainty ranges.

  • Bottom-up estimating aggregates work-package labour, materials, equipment and subcontract costs
  • Analogous estimates use comparable projects with documented adjustment factors
  • Three-point estimates calculate expected cost from optimistic, likely and pessimistic values
  • Capital expenditure separated from operating expenditure, renewal costs and residual values
  • Cost baseline phases expenditure against schedule milestones and procurement commitments
  • Estimating basis records quantities, rates, exclusions, escalation and source evidence

Participants can build a time-phased project cash-flow model from appraisal assumptions.

  • Cash-flow timing reflects procurement, construction, commissioning and benefit realisation
  • Model inputs separate volume, price, inflation, tax and timing assumptions
  • Annual cash flows include investment costs, operating costs and benefits
  • Discounted cash flows calculate present values using stated discount rates
  • Working capital requirements included where inventory, receivables or payment terms matter
  • Model checks reconcile totals, formulas, units, signs and time periods

Participants can calculate and interpret core investment appraisal measures.

  • Net present value compares discounted benefits against discounted project costs
  • Internal rate of return tested against hurdle rates and reinvestment assumptions
  • Payback period measures time required to recover initial investment
  • Benefit-cost ratio compares discounted benefits with discounted cost streams
  • Accounting rate of return interpreted alongside cash-based valuation measures
  • Conflicting appraisal results resolved through stated decision rules and context

Participants can assess non-financial project effects using structured appraisal criteria.

  • Economic appraisal distinguishes market prices from economic costs and benefits
  • Social value criteria assess access, inclusion, employment and community outcomes
  • Environmental impacts screened for emissions, waste, land use and resilience
  • Multi-criteria analysis scores options against weighted qualitative and quantitative criteria
  • Distributional effects identify groups gaining, losing or carrying disproportionate costs
  • Non-monetised impacts documented with evidence, uncertainty and decision relevance

Participants can test which assumptions most affect project viability.

  • One-way sensitivity analysis tests individual variables against base-case valuation
  • Tornado diagrams rank assumptions by their effect on NPV
  • Scenario analysis combines coherent changes in demand, costs and schedule
  • Break-even analysis identifies values required to meet investment thresholds
  • Switching values show when an assumption changes the approval decision
  • Management responses linked to adverse scenarios, triggers and contingency actions

Participants can prepare an evidence-based business case for governance review.

  • Five Case Model structures strategic, economic, commercial, financial and management cases
  • Executive summaries state recommendation, value case, risks and approval sought
  • Option comparison tables present costs, benefits, risks and strategic fit
  • Affordability assessment tests funding sources, budget timing and cash constraints
  • Stage-gate governance defines approval authority, evidence thresholds and escalation routes
  • Decision logs record recommendations, conditions, dissenting views and approved actions

Participants can establish a project risk management approach aligned with ISO 31000.

  • ISO 31000 principles guide risk governance, integration and continual improvement
  • Risk appetite defines acceptable exposure, thresholds and escalation requirements
  • Project context considers strategic, commercial, technical and external uncertainty
  • Risk categories organise threats and opportunities across project life cycles
  • Risk management plan defines methods, roles, reporting cadence and records
  • Interfaces mapped between project risks, programme risks and enterprise risk registers

Participants can identify project threats and opportunities using multiple evidence sources.

  • Risk breakdown structure categorises scope, schedule, cost, quality and stakeholder risks
  • PESTLE analysis identifies political, economic, social, technological, legal and environmental risks
  • Cause-event-effect statements distinguish risk sources, events and consequences
  • Assumption analysis converts uncertain planning assumptions into testable risk statements
  • Prompt lists identify procurement, contract, safety, regulatory and operational risks
  • Lessons learned databases provide evidence from comparable project failures and successes

Participants can assess and prioritise risks using consistent qualitative criteria.

  • Probability-impact matrix scores risks using defined scales and calibration guidance
  • Inherent risk assessed before planned controls, treatments and contingency measures
  • Residual risk assessed after treatment actions and control effectiveness
  • Risk velocity considers how quickly a risk can affect objectives
  • Proximity ratings identify risks requiring action within defined planning horizons
  • Risk prioritisation combines exposure, urgency, ownership and decision requirements

Participants can select proportionate treatments and assign accountable risk actions.

  • Threat responses include avoid, reduce, transfer, accept and escalate strategies
  • Opportunity responses include exploit, enhance, share, accept and escalate strategies
  • Treatment plans specify actions, owners, deadlines, costs and effectiveness measures
  • Risk owners accept accountability for monitoring exposure and treatment delivery
  • Contingency plans define triggers, decision authority, actions and resource requirements
  • Contract allocation assigns risks to parties able to manage them

Participants can estimate contingency requirements from cost and schedule uncertainty.

  • Expected monetary value combines risk probability with estimated financial impact
  • Decision trees compare contingent choices, probabilities, costs and expected values
  • Monte Carlo simulation models combined uncertainty across cost and schedule variables
  • Probability distributions selected using evidence, expert judgement and data quality
  • P-values express confidence levels for cost and schedule contingency estimates
  • Quantitative outputs translated into reserves, tolerances and management decisions

Participants can analyse schedule uncertainty and plan responses to critical delays.

  • Critical path method identifies activities controlling planned project completion dates
  • Predecessor relationships model finish-to-start, start-to-start and finish-to-finish logic
  • Schedule risk analysis tests duration uncertainty, dependencies and milestone confidence
  • Critical chain buffers protect constrained resources and uncertain task durations
  • Delay analysis distinguishes excusable, compensable and concurrent delay events
  • Recovery plans sequence acceleration, resequencing, resource changes and scope decisions

Participants can assess commercial risk and define appropriate contractual controls.

  • Make-or-buy analysis compares capability, cost, control and supplier risk
  • Procurement strategy aligns market conditions, package scope and competition approach
  • Contract types allocate price, performance and change risk differently
  • Supplier due diligence examines financial capacity, capability, references and compliance
  • Payment milestones connect deliverables, acceptance criteria and cash-flow protection
  • Change control manages variations, claims, approvals and contractual records

Participants can operate risk reviews and report decision-relevant risk information.

  • Risk register fields capture description, causes, impacts, scores and ownership
  • Key risk indicators provide early warning through measurable exposure signals
  • Risk review cadence aligns with governance meetings, milestones and delivery cycles
  • Heat maps communicate exposure while retaining underlying scoring rationale
  • Escalation thresholds trigger sponsor decisions, contingency release and external reporting
  • Closed risks retain treatment evidence, lessons learned and residual exposure records

Participants can connect appraisal assumptions, delivery risks and assurance evidence.

  • Risk-adjusted cash flows reflect uncertainty in benefits, costs and timing
  • Assumptions log reconciled with risk register entries and treatment actions
  • Contingency reserves distinguished from management reserves and budget allowances
  • Benefits realisation plan assigns measures, owners, review dates and interventions
  • Independent assurance tests appraisal quality, control design and evidence sufficiency
  • Post-implementation reviews compare actual results against approved business case forecasts

Participants can present appraisal findings and respond to informed challenge.

  • Decision papers foreground recommendation, required approval and consequences of delay
  • Charts communicate cash flows, sensitivities, risk exposure and option comparisons
  • Assumption narratives explain evidence sources, confidence and validation actions
  • Red-team review challenges optimism, omissions, bias and unsupported conclusions
  • Governance questions address affordability, deliverability, ownership and residual risk
  • Presentation structure separates facts, analysis, judgement and requested decisions

Participants can build, review and present a complete project appraisal and risk management pack for approval.

  • Project case defines strategic need, options, scope, benefits and constraints
  • Cash-flow model calculates valuation metrics under documented base-case assumptions
  • Sensitivity and scenario analysis tests viability against adverse project conditions
  • Risk register identifies priority exposures, owners, treatments and contingency triggers
  • Business case synthesises financial, commercial, management and assurance evidence
  • Decision-panel presentation defends recommendation, responds to challenge and records conditions

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

What you take back to work

  1. Project appraisal workbook
  2. Discounted cash-flow model
  3. Investment case template
  4. Assumptions and benefits log
  5. ISO 31000-aligned risk register
  6. Risk treatment and contingency plan

Who should attend

  • Project Managers — need defensible appraisals and active risk controls for delivery decisions
  • Programme Managers — need consistent methods for comparing and governing multiple investments
  • Project Sponsors — need evidence to approve funding, tolerances and contingency reserves
  • Business Analysts — need to convert requirements, benefits and assumptions into investment cases
  • Finance Business Partners — need to challenge project forecasts, valuation methods and affordability
  • Risk Managers — need to integrate project risk analysis with organisational risk reporting

Skills and tools covered

Investment appraisalCash-flow modellingSensitivity analysisProject risk assessmentContingency planningApproval governance

Tools and standards

ISO 31000, ISO 21502, Five Case Model, Monte Carlo simulation

How the course runs

Training methodology

The course uses short instructor briefings to introduce appraisal methods, valuation calculations and risk management techniques. Worked cases show how assumptions affect investment decisions in public-sector, commercial and development projects. Participants analyse project data, build cash-flow models, assess options, prepare risk registers and conduct decision-panel simulations in small groups. Facilitated reviews focus on the quality of evidence, calculation logic, risk ownership and approval recommendations. Individual application planning helps participants adapt the course materials to current or planned projects.

Requirements and prerequisites

Participants should have some experience working on projects, programmes, business cases, budgets, procurement activities or operational improvement initiatives. They should be comfortable interpreting basic financial information such as costs, revenue, budgets and variances, although advanced finance knowledge is not assumed. Familiarity with spreadsheets is useful because participants will work with project cash-flow models and risk data. No prior qualification in project management, accounting, economics, statistics or formal risk management is required. Participants do not need specialist modelling software or prior experience with Monte Carlo simulation.

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 need some familiarity with project work, budgets, operations or business cases. The course explains valuation and risk methods from first principles, so prior finance or formal risk qualifications are not required.

Participants should bring a laptop if possible, plus a current or planned project they can use for application planning. Sensitive data is not required; anonymised figures, assumptions or a realistic case description are sufficient.

It is designed for project managers, programme managers, sponsors, analysts, finance partners and risk professionals involved in project investment decisions. It suits people who must justify funding, challenge assumptions or manage material delivery uncertainty.

General project management courses focus primarily on planning, scheduling, teams and delivery controls. This course concentrates on deciding whether a project should proceed, quantifying its value, testing uncertainty and maintaining risk-based governance.

Participants can use the appraisal workbook, business case structure, sensitivity analysis and risk register immediately on active projects. The materials support funding submissions, stage-gate reviews, risk workshops and post-implementation reviews.

The first part establishes appraisal foundations, project cash flows, valuation and option analysis. The second part develops risk analysis, treatments, quantitative methods, governance reporting and a final integrated appraisal presentation; each training day runs from 08:30 to 16:30 with about 6.5 contact hours.

Questions about this course?

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