Project Performance Measurement Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Project Managers, Project Controls Professionals and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 9 Nov 2026 Course code SD-PM-058

Before you join: Participants should understand the basic project lifecycle and have experience contributing to, managing or supporting a project.

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 can meet delivery dates and still fail to produce the promised benefit, service level, cost reduction or operational change. Managers need evidence that shows whether work is progressing to plan, whether forecasts remain credible, and whether corrective action is required. This course addresses the practical challenge of turning project objectives, scope, schedules, budgets, risks and benefits into a disciplined performance measurement and management system.

Participants learn to define meaningful success criteria, design performance indicators, establish baselines, collect reliable data and produce decision-ready reports. The course covers Earned Value Management, schedule and cost variance analysis, forecasting, benefits realisation, risk-adjusted performance reviews, dashboard design, change control and governance. Participants learn how to distinguish useful management information from activity reporting, challenge weak data, explain variance causes and recommend actions supported by evidence.

Instruction combines short briefings with cases, group analysis, reporting simulations and structured application to participants' own projects or realistic project scenarios. From the first week, participants build elements of a project performance measurement pack, including a performance framework, indicator register, baseline plan, EVM analysis and reporting dashboard. The final capstone brings these elements together into a complete performance review for presentation to a project board.

The course suits project professionals responsible for planning, controlling, reporting or assuring projects, programmes and major change initiatives. Examples can be adapted for capital projects, technology delivery, public programmes, banking transformation, humanitarian operations, infrastructure and corporate change portfolios.

What you will be able to do

  • Define project success criteria, benefits and performance measures using a measurement framework
  • Build scope, schedule and cost baselines suitable for formal project control
  • Calculate earned value metrics including PV, EV, AC, CPI, SPI and EAC
  • Analyse schedule, cost and benefit variances using root-cause techniques
  • Design indicator registers with definitions, owners, sources, thresholds and reporting frequencies
  • Produce project dashboards and performance reports for sponsors and governance boards
  • Forecast project completion dates, final costs and benefits using current performance data
  • Present a complete project performance review with corrective-action recommendations

Benefits of attending

For you

  • Produce evidence-based status reports rather than activity summaries
  • Explain cost and schedule performance using earned value metrics
  • Challenge unreliable forecasts and unsupported completion claims
  • Build dashboards suited to sponsor and steering-committee decisions
  • Lead structured performance reviews and corrective-action discussions

For your organisation

  • Earlier visibility of schedule slippage, cost pressure and benefit shortfalls
  • Consistent project reporting across programmes, departments and suppliers
  • More credible forecasts for funding, staffing and delivery decisions
  • Clearer accountability for measures, data quality and corrective actions
  • Better governance evidence for investment reviews and assurance audits

Course modules

20 modules over 10 days

Participants can define what project performance means and identify measurable success criteria.

  • Project charter assumptions translated into measurable success criteria and constraints
  • Benefits map linking outputs, outcomes, owners and measurement evidence
  • Scope baseline distinguished from benefit realisation and business-as-usual performance
  • Stakeholder expectations ranked using power-interest grids and influence strategies
  • Success criteria tested for controllability, observability, timing and ownership
  • Performance questions framed before selecting indicators, reports or thresholds

Participants can structure a measurement framework linking objectives, measures, data and decisions.

  • Logic model connecting inputs, activities, outputs, outcomes and intended impacts
  • Balanced Scorecard perspectives adapted for project delivery and benefit tracking
  • Results framework assigning indicators to strategic objectives and delivery outputs
  • Measurement hierarchy separating leading indicators from lagging outcome measures
  • Indicator selection assessed against relevance, feasibility, reliability and decision value
  • Performance framework documented through objectives, measures, targets and accountabilities

Participants can organise project work into control points that support reliable measurement.

  • Work breakdown structure decomposed into measurable deliverables and work packages
  • Organisational breakdown structure aligned with responsibility assignment matrix accountabilities
  • Control accounts established at intersections of work and responsible organisation
  • Planning packages distinguished from detailed work packages during progressive elaboration
  • Work package completion criteria defined using objective acceptance evidence
  • Control account managers assigned reporting, forecasting and corrective-action responsibilities

Participants can establish and maintain a schedule baseline for performance control.

  • Scope statement converted into deliverable acceptance criteria and milestone evidence
  • Network logic tested through finish-to-start dependencies, lags and constraints
  • Critical path method used to identify schedule drivers and float exposure
  • Integrated master schedule aligned with work packages and control accounts
  • Schedule baseline approved through formal change control and version management
  • Milestone trend analysis used to expose repeated date movement patterns

Participants can construct cost baselines and distinguish budget movements from performance variance.

  • Cost estimates developed from resource rates, quantities and procurement assumptions
  • Time-phased budget distributed across work packages and planned reporting periods
  • Management reserve separated from contingency and performance measurement baseline
  • Funding profile reconciled with budget, cash flow and contractual payment milestones
  • Cost baseline changes controlled through approved scope and estimate revisions
  • Actual cost data reconciled between finance systems and project records

Participants can select objective progress-measurement methods for different types of project work.

  • Milestone weighting assigns objective credit to agreed deliverable completion points
  • Weighted steps measure progress through defined engineering, build and test stages
  • Units-complete method applied to repetitive construction, deployment and production work
  • Physical percent complete supported by inspection evidence and acceptance records
  • Level-of-effort work separated from discrete measurable project deliverables
  • 0-100 and 50-50 rules applied to short-duration work packages

Participants can explain earned value data and calculate core project performance measures.

  • Planned Value calculated from the time-phased performance measurement baseline
  • Earned Value derived from authorised work package completion evidence
  • Actual Cost matched to earned work within the reporting period
  • Schedule Variance and Cost Variance interpreted using monetary values
  • Schedule Performance Index and Cost Performance Index calculated correctly
  • ISO 21508 terminology applied to earned value management reporting

Participants can interpret earned value trends and identify material performance issues.

  • Cumulative and current-period metrics compared to reveal emerging performance deterioration
  • Cost Performance Index trends examined alongside scope, procurement and productivity evidence
  • Schedule Performance Index limitations recognised near project completion and delayed work
  • Variance analysis report distinguishes symptoms, causes, impacts and corrective actions
  • Control thresholds set for management attention, escalation and recovery planning
  • Performance narratives explain significant movements without masking adverse results

Participants can forecast project cost and schedule outcomes using performance data.

  • Estimate at Completion calculated using CPI-based and composite forecasting formulas
  • Estimate to Complete reassessed from remaining work, risks and supplier commitments
  • To-Complete Performance Index tested against achievable future delivery rates
  • Independent Estimate at Completion compared with project manager forecasts
  • Schedule completion dates forecast using critical path and remaining duration analysis
  • Forecast assumptions documented with confidence ranges and management actions

Participants can investigate significant variances and develop evidence-based corrective actions.

  • Five Whys separates immediate variance symptoms from underlying delivery causes
  • Fishbone diagrams classify causes across people, process, technology and suppliers
  • Pareto analysis identifies the small number of drivers causing major impact
  • Variance causes traced to scope, estimate, productivity, risk or reporting errors
  • Corrective actions assigned owners, dates, expected effects and verification measures
  • Recovery plans tested against resource availability, dependencies and approved scope

Participants can incorporate risk exposure and contingency use into performance reviews.

  • Risk register integrated with performance indicators, forecasts and contingency drawdown
  • Probability-impact matrix prioritises threats requiring management attention and response funding
  • Expected Monetary Value informs contingency adequacy and cost exposure discussions
  • Risk burndown charts show remaining exposure against planned response actions
  • Contingency consumption distinguished from cost overruns and unapproved scope changes
  • Scenario analysis compares base, downside and recovery forecast outcomes

Participants can measure benefits and distinguish project delivery performance from realised value.

  • Benefits realisation plan defines measures, baselines, targets, owners and dates
  • Outcome indicators linked to operational data sources and benefit-accountable managers
  • Benefits dependency map identifies conditions required for value to materialise
  • Counterfactual thinking tests whether observed improvements are attributable to project outputs
  • Disbenefits recorded alongside intended benefits, costs and operational impacts
  • Post-project measurement scheduled beyond handover where benefits mature later

Participants can assess data quality and establish controls over project performance information.

  • Data dictionary specifies indicator definitions, calculation rules and source systems
  • Completeness, accuracy, timeliness and consistency assessed through data quality checks
  • Audit trail links reported metrics to source records and approval evidence
  • Reconciliation controls compare schedule, financial, procurement and operational data
  • Sampling methods test reported progress against physical evidence and acceptance records
  • Data exceptions logged with owners, correction dates and reporting implications

Participants can design dashboards that support rapid, informed governance decisions.

  • Dashboard audience analysis separates sponsor, project manager and delivery-team information needs
  • RAG status criteria defined using agreed thresholds and evidence requirements
  • Trend charts display performance movement rather than isolated reporting-period results
  • S-curves compare planned, earned and actual cost over time
  • Milestone charts highlight forecast changes, critical dates and decision points
  • Dashboard design limits measures to material decisions and management actions

Participants can prepare performance reports that drive accountable governance decisions.

  • Project governance calendar aligns reporting cycles with board and funding decisions
  • Exception reports escalate threshold breaches with impacts, options and recommendations
  • Decision log records approvals, deferred actions, assumptions and accountable owners
  • Stage-gate reviews test readiness against evidence, criteria and residual risks
  • Performance review agenda focuses discussion on forecasts, decisions and action closure
  • Escalation routes distinguish delivery issues from sponsor-level investment decisions

Participants can manage approved changes without losing visibility of original performance commitments.

  • Change request evaluates scope, schedule, cost, risk and benefit consequences
  • Impact assessment distinguishes authorised changes from performance variance and forecasting error
  • Baseline change log preserves approval history, rationale and effective dates
  • Original baseline retained for accountability while current baseline supports control
  • Configuration management connects changed deliverables with schedule and budget updates
  • Trend analysis separates cumulative approved change from delivery performance deterioration

Participants can measure supplier delivery performance and integrate it into project controls.

  • Contract deliverables mapped to acceptance criteria, milestones and payment conditions
  • Supplier scorecards track quality, timeliness, responsiveness, cost and corrective actions
  • Service level agreements distinguished from project completion and acceptance measures
  • Procurement variance analysed through commitments, invoices, claims and forecast liabilities
  • Supplier recovery plans reviewed against contractual remedies and dependency impacts
  • Joint performance reviews document actions, evidence requirements and escalation routes

Participants can apply appropriate performance measures to iterative and hybrid project delivery.

  • Burnup charts track delivered scope against authorised release scope changes
  • Velocity trends used cautiously for team planning rather than cross-team comparison
  • Cumulative flow diagrams expose work-in-progress bottlenecks and cycle-time constraints
  • Release forecasts combine throughput, backlog quality, dependencies and capacity assumptions
  • Hybrid control model links iterative delivery evidence to stage-gate governance
  • Outcome measures supplement story completion counts and sprint activity reporting

Participants can convert performance findings into prioritised improvement and recovery plans.

  • Performance gap analysis compares actual results with approved targets and tolerances
  • Corrective-action register prioritises actions by urgency, impact, effort and ownership
  • A3 problem-solving structure summarises condition, analysis, countermeasures and follow-up
  • Recovery milestones establish measurable checkpoints for validating improvement actions
  • Lessons learned converted into control changes, estimates and future planning assumptions
  • Management action plans include decision requests, resources and completion evidence

Participants can build, review and present a complete project performance measurement pack with forecast and corrective actions.

  • Project performance framework assembled from objectives, indicators, baselines and accountabilities
  • Earned value data analysed to calculate variances, indices and completion forecasts
  • Benefits, risk and supplier evidence integrated into a single management assessment
  • Dashboard produced with trends, thresholds, exceptions and decision-ready recommendations
  • Performance review pack tested for data quality, traceability and baseline integrity
  • Board presentation delivers findings, recovery actions, decisions and follow-up measures

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

What you take back to work

  1. Project performance measurement framework template
  2. Indicator register and data dictionary
  3. Earned Value Management calculation workbook
  4. Project baseline and change-control checklist
  5. Performance dashboard and exception-report template
  6. Project performance review pack

Who should attend

  • Project Managers — need reliable control information for decisions and stakeholder reporting
  • Project Controls Professionals — need consistent methods for cost, schedule and progress measurement
  • Programme Managers — need comparable performance reporting across constituent projects
  • PMO Managers — need standards, templates and assurance criteria for project reporting
  • Project Sponsors — need to challenge forecasts, benefits claims and recovery proposals
  • Business Analysts — need to define measurable outcomes and evidence for project benefits

Skills and tools covered

Earned value analysisBaseline controlPerformance dashboard designBenefits measurementForecasting and varianceProject governance reporting

Tools and standards

Earned Value Management (EVM), ISO 21508, PMBOK Guide, Balanced Scorecard

How the course runs

Training methodology

The course uses short instructor briefings to introduce methods, followed by case work, group exercises, calculations and reporting simulations. Participants interpret project data, prepare variance explanations, test forecast assumptions and review dashboards as project boards would. Examples include capital delivery, technology implementation, service transformation and public programmes. Application planning is built into each stage so participants can adapt the methods, templates and reporting cadence to a current project, programme or PMO environment.

Requirements and prerequisites

Participants should understand the basic project lifecycle and have experience contributing to, managing or supporting a project. Familiarity with work breakdown structures, schedules, budgets, risks and status reporting is useful. Participants should be comfortable reading simple spreadsheets and performing basic percentage calculations. Prior use of Earned Value Management, specialist project controls software or business intelligence tools is not required. The course does not assume prior certification in PRINCE2, PMI methods, Agile methods or any project management standard.

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 should understand basic project concepts such as scope, schedules, budgets, risks and status reporting. You do not need prior Earned Value Management experience, a project management certification or specialist software knowledge.

Bring a laptop if possible, along with a current or recent project example you can use for application planning. Useful materials include a schedule, budget, status report, risk register or dashboard, but these are not mandatory.

It is designed for project managers, project controls staff, programme managers, PMO professionals, sponsors and analysts involved in reporting or assurance. It is most useful for people working on projects with formal schedules, budgets, milestones or benefit commitments.

General project management courses cover the full lifecycle of initiating, planning, delivering and closing projects. This course concentrates on measuring progress, forecasting outcomes, analysing variance and using evidence to manage performance.

Participants leave with reusable templates for performance frameworks, indicator registers, earned value calculations, dashboards and review packs. The methods can be applied to a single project, programme reporting cycle or PMO reporting standard.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first part establishes baselines, measures and earned value controls; the later part develops forecasting, reporting, governance and a final performance review capstone.

Questions about this course?

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