Public Sector Performance Management Training Course

Participants can structure a results-based management system for a public programme.

• Results-based management principles for policy, programmes and public services
• Strategic objectives translated into outcome-oriented results statements
• Vertical logic connecting resources, deliverables, outcomes and intended impacts
• Responsibility matrices assigning ownership for results and performance evidence
• Planning horizons across annual plans, medium-term frameworks and strategies
• Results architecture aligned with organisational mandates and statutory functions

Participants can connect performance priorities to policy mandates, stakeholder needs and strategic choices.

• Mandate analysis using legislation, policy commitments and institutional functions
• Stakeholder mapping by influence, interest, expectations and accountability claims
• Problem trees separating symptoms, causes and affected population groups
• Objective trees converting causal problems into achievable results statements
• PESTLE analysis identifying external factors affecting public programme performance
• Prioritisation criteria balancing urgency, feasibility, equity and fiscal capacity

Participants can construct a theory of change that tests how interventions produce intended outcomes.

• Theory of Change pathways from interventions to sustained public outcomes
• Assumptions stated as testable conditions rather than generic risks
• Causal links tested through evidence, stakeholder knowledge and programme logic
• Boundary partners identified where outcomes depend on other institutions
• Equity considerations incorporated into pathways for excluded population groups
• Narrative explanations documenting why proposed interventions should work

Participants can produce a logical framework with coherent objectives, indicators and assumptions.

• Logical framework matrix linking goal, outcome, outputs and activities
• Outcome statements written as observable changes in behaviour or condition
• Outputs specified as deliverables within management control
• Assumptions and risks placed at appropriate levels of logic
• Means of verification matched to each proposed performance indicator
• Consistency checks identifying gaps, duplication and unsupported causal claims

Participants can design indicators that generate decision-useful evidence of public sector performance.

• Indicator selection criteria: validity, reliability, sensitivity, feasibility and utility
• Outcome indicators measuring changes beyond completed activities and deliverables
• Output indicators measuring quantity, timeliness, coverage and quality
• Efficiency indicators relating resources, unit costs and service volumes
• Equity indicators disaggregated by sex, age, location and vulnerability
• Proxy indicators used only when direct measurement remains impractical

Participants can document indicators so different users collect and interpret data consistently.

• Indicator reference sheets defining purpose, formula, source and ownership
• Numerators, denominators and units of measurement specified unambiguously
• Disaggregation rules protecting comparability across reporting periods
• Inclusion and exclusion criteria preventing inconsistent case counting
• Data collection frequency aligned with management decision requirements
• Metadata records documenting revisions, limitations and interpretation cautions

Participants can set credible baselines, targets and performance tolerances for public programmes.

• Baseline studies establishing starting values before intervention implementation
• Target-setting methods using trends, benchmarks, capacity and budget assumptions
• Annual milestones sequenced against implementation dependencies and seasonal variation
• Tolerance bands distinguishing normal variation from management exceptions
• Forecasting trajectories using historical data and planned service expansion
• Target negotiation addressing political ambition, affordability and operational reality

Participants can establish proportionate data collection and quality assurance arrangements.

• Administrative data sources assessed for completeness, timeliness and accuracy
• Data collection plans specifying methods, respondents, schedules and responsibilities
• Data quality dimensions: accuracy, completeness, consistency, timeliness and integrity
• Verification protocols using source checks, recounts and plausibility testing
• Sampling approaches for service-user surveys and facility verification
• Data protection controls for personal, sensitive and beneficiary information

Participants can design concise performance reports and dashboards for different decision-makers.

• Audience analysis distinguishing executive, operational, oversight and public reporting needs
• Dashboard design using targets, actuals, trends and exception flags
• RAG status rules supported by defined thresholds and evidence
• Narrative reporting explaining variance, causes, implications and corrective actions
• Data visualisation choices for trends, comparisons, distributions and geographic variation
• Reporting calendars aligned with budget cycles and governance meetings

Participants can conduct performance review meetings that lead to accountable management action.

• Review agendas focused on exceptions, causes, decisions and follow-up
• Variance analysis comparing actual results against targets and forecasts
• Root-cause analysis using five whys, fishbone diagrams and evidence
• Action logs recording owners, deadlines, resources and escalation points
• Constructive challenge techniques separating evidence from assumptions and opinion
• Meeting governance defining attendance, authority, cadence and decision rights

Participants can incorporate service standards and user experience measures into performance systems.

• Service standards defining access, timeliness, quality and responsiveness commitments
• Customer journey mapping identifying delays, handoffs, barriers and failure points
• Citizen feedback mechanisms including complaints, surveys and community consultations
• Service-level measures tracking waiting times, resolution rates and repeat contacts
• Equity analysis identifying unequal access to public services
• Closing feedback loops through published responses and improvement actions

Participants can connect resource allocation decisions with performance evidence and delivery priorities.

• Programme budgeting structures linking appropriations to outputs and outcomes
• Cost drivers identified for major public services and interventions
• Unit-cost analysis comparing efficiency between locations, providers and periods
• Budget narratives explaining expected results, risks and resource requirements
• Performance evidence used in budget challenge and reprioritisation discussions
• Medium-term expenditure frameworks linked with strategic performance milestones

Participants can manage delivery risks and assurance requirements within a performance framework.

• Risk registers linking threats, causes, controls, owners and review dates
• Risk scoring using likelihood, impact and residual risk assessments
• Early warning indicators detecting potential delivery failure before target slippage
• Control assurance testing for critical data and service processes
• Fraud, safeguarding and reputational risks reflected in programme monitoring
• Escalation protocols defining when senior intervention becomes necessary

Participants can distinguish monitoring from evaluation and use both for programme improvement.

• Monitoring tracks implementation progress, outputs and routine performance trends
• Evaluation examines relevance, effectiveness, efficiency, impact and sustainability
• OECD DAC criteria applied to public and development interventions
• Evaluation questions derived from decisions, uncertainties and stakeholder needs
• Learning agendas prioritising evidence gaps with management significance
• Management responses converting evaluation findings into accountable actions

Participants can plan the governance, roles and routines needed to sustain performance management.

• Governance structures defining oversight, challenge, approval and escalation responsibilities
• Performance agreements connecting individual accountabilities with organisational results
• Capability assessments identifying gaps in analysis, data and management practice
• Change management addressing incentives, resistance and reporting burden
• Standard operating procedures for collection, validation, reporting and review
• Maturity assessments sequencing realistic improvements to performance systems

Participants can communicate performance evidence honestly to senior leaders, citizens and funders.

• Performance narratives balancing achievements, limitations, risks and unresolved challenges
• Briefing notes structured around decisions, evidence and recommended actions
• Public reporting principles covering transparency, accessibility and plain language
• Ministerial briefings distinguishing political commitments from administrative performance evidence
• Donor reports aligning agreed indicators, milestones and verification requirements
• Handling adverse results without selective reporting or unsupported explanations

Participants can use structured improvement methods to address recurring performance gaps.

• Plan-Do-Study-Act cycles testing changes before wider implementation
• Process mapping identifying bottlenecks, rework, handoffs and unnecessary approvals
• Pareto analysis prioritising high-frequency causes of service failure
• Corrective action plans linking interventions with expected measurable improvements
• Benefits realisation tracking whether reforms produce intended operational gains
• Improvement reviews comparing intervention effects against baseline performance

Participants can build, review and present a complete performance management plan for a public programme or service.

• Programme mandate, problem statement and stakeholder accountability analysis
• Theory of Change and logical framework with tested causal assumptions
• Indicator set with definitions, disaggregation, sources and quality controls
• Baselines, targets, milestones, tolerances and reporting calendar
• Dashboard, review agenda, action log and escalation arrangements
• Budget, risk, evaluation and improvement actions integrated into delivery plan