Project Appraisal and Impact Evaluation Training Course

Participants can define a project problem and assess affected stakeholders systematically.

• Problem tree analysis separating symptoms, immediate causes and structural causes
• Stakeholder mapping using interest, influence, legitimacy and vulnerability criteria
• Beneficiary segmentation by needs, constraints, location, gender and livelihood
• Political economy analysis identifying incentives, power relations and implementation barriers
• Needs assessment evidence drawn from administrative data, surveys and consultations
• Equity analysis examining who benefits, who pays and who faces exclusion

Participants can create a theory of change and logical framework for a proposed intervention.

• Theory of Change pathways specifying causal links and enabling conditions
• Backward mapping from intended impact to measurable intermediate outcomes
• Logical Framework Approach translating causal pathways into results hierarchy
• Assumptions tested for evidence strength, controllability and consequence of failure
• Output statements written as deliverables rather than completed activities
• External factors classified as risks, assumptions, contextual conditions or dependencies

Participants can compare intervention options using explicit decision criteria and demand evidence.

• Long-listing technical, policy, service-delivery and no-project intervention options
• Multi-criteria analysis scoring options against weighted decision criteria
• Demand estimation using population data, service use and willingness measures
• Demand-side barriers assessed through affordability, access, trust and social norms
• Supply analysis identifying existing services, capacity gaps and substitution effects
• Preferred option justified through effectiveness, cost, equity, feasibility and sustainability

Participants can assess whether a project design can be delivered within stated constraints.

• Technical feasibility assessed against specifications, standards, site conditions and maintenance
• Implementation schedule developed using work breakdown structures and critical paths
• Resource requirements estimated for personnel, equipment, materials and operating inputs
• Procurement strategy aligned with market capacity, lead times and contract risks
• Institutional arrangements mapped through roles, decision rights and accountability lines
• Operations and maintenance requirements costed beyond the initial investment period

Participants can construct and interpret financial cash flows for project appraisal.

• Incremental cash flows separating project effects from existing expenditure patterns
• Capital costs, recurrent costs, revenues and residual values classified correctly
• Time value of money applied through discount factors and present values
• Net present value calculated from annual discounted financial cash flows
• Internal rate of return interpreted alongside NPV and investment constraints
• Sensitivity analysis testing price, volume, delay and operating cost changes

Participants can assess economic value using cost-benefit analysis and stated assumptions.

• Economic analysis distinguishing financial prices from opportunity costs and benefits
• Shadow pricing adjustments for taxes, subsidies, foreign exchange and labour
• Economic benefits valued through avoided costs, productivity gains and willingness-to-pay
• Cost-effectiveness analysis used where outcomes cannot credibly be monetised
• Social discount rates applied to long-term public investment decisions
• Distributional effects examined across income groups, locations and vulnerable populations

Participants can identify material project risks and test their effect on project viability.

• Risk register built from technical, financial, operational, political and contextual risks
• Likelihood-impact scoring calibrated with clear probability and consequence definitions
• Risk responses classified as avoid, reduce, transfer, accept or escalate
• Scenario analysis comparing base case, downside case and upside case assumptions
• Switching values identifying conditions that make an investment unacceptable
• Monte Carlo simulation principles for uncertain variables and probability distributions

Participants can identify environmental and social issues requiring appraisal controls.

• Environmental and social screening identifying likely impacts and required assessments
• Mitigation hierarchy applied through avoid, minimise, restore and compensate actions
• Involuntary resettlement risks assessed using livelihood, tenure and displacement evidence
• Gender analysis identifying differentiated access, risks, participation and benefit patterns
• Stakeholder engagement plans defining disclosure, consultation, feedback and grievance channels
• Environmental and social management measures assigned owners, budgets and timelines

Participants can write an appraisal report that supports a transparent funding decision.

• Appraisal report structure linking evidence, analysis, conclusions and recommendations
• Executive summaries presenting decision options, conditions and material uncertainties
• Evidence quality assessed through source credibility, relevance, timeliness and limitations
• Decision matrices comparing options against agreed appraisal criteria and thresholds
• Approval conditions specifying safeguards, milestones, covenants and reporting requirements
• Independent review processes challenging assumptions, calculations and recommendation logic

Participants can design an M&E framework aligned to project decisions and results.

• M&E framework linking results, indicators, data sources, frequency and accountability
• Monitoring questions tailored to delivery control, adaptation and performance reporting
• Evaluation calendar aligned with design, implementation, completion and post-project decisions
• Performance information systems combining routine data, surveys and qualitative evidence
• Indicator disaggregation planned by sex, age, disability, geography and socioeconomic status
• Data-use routines assigning review meetings, decisions, actions and follow-up responsibilities

Participants can specify indicators with clear definitions, targets and measurement protocols.

• SMART indicators tested for specificity, feasibility, sensitivity and decision usefulness
• Indicator reference sheets defining numerator, denominator, unit and disaggregation
• Output, outcome and impact indicators distinguished by timing and attribution strength
• Targets set using baselines, trends, benchmarks, capacity and resource assumptions
• Proxy indicators selected only when direct measurement is impractical
• Indicator validity assessed against construct, content, criterion and face validity

Participants can plan a baseline study and fit-for-purpose data collection approach.

• Baseline scope defined around indicators, timing, population and comparison needs
• Data collection modes compared: surveys, observation, records, interviews and remote sensing
• Questionnaire design using neutral wording, response options, skips and recall periods
• Fieldwork plans covering enumerator training, piloting, supervision and daily checks
• Digital data collection configured with validation rules and audit trails
• Consent procedures explaining purpose, voluntary participation, risks and data handling

Participants can formulate evaluation questions and select designs suited to intended use.

• Evaluation questions framed around relevance, coherence, effectiveness, efficiency and impact
• Descriptive, normative and causal questions matched to appropriate evidence strategies
• Evaluation matrix linking questions, indicators, sources, methods and analysis plans
• Experimental designs using random assignment, treatment groups and control groups
• Quasi-experimental designs using matching, difference-in-differences and regression discontinuity
• Theory-based evaluation testing causal mechanisms, assumptions and alternative explanations

Participants can make defensible sampling, quality assurance and ethical practice decisions.

• Probability sampling methods: simple random, systematic, stratified and cluster samples
• Sample size considerations including precision, variability, design effect and attrition
• Purposive sampling strategies for key informants, outliers and information-rich cases
• Data quality assessments checking accuracy, completeness, timeliness, integrity and confidentiality
• Inter-rater reliability strengthened through protocols, calibration and supervision checks
• Evaluation ethics addressing informed consent, safeguarding, privacy and do-no-harm

Participants can interpret quantitative evidence and communicate limits of statistical findings.

• Descriptive statistics summarising distributions, averages, proportions and variation measures
• Cross-tabulations examining differences between beneficiary groups and comparison groups
• Confidence intervals used to express uncertainty around estimated values
• Before-and-after comparisons interpreted with caution about external influences
• Difference-in-differences estimates separating programme effects from common time trends
• Regression outputs interpreted using coefficients, significance, controls and model limitations

Participants can integrate qualitative and quantitative evidence into credible evaluative findings.

• Key informant interviews structured around experience, mechanisms, context and unintended effects
• Focus group discussions designed for participation, safeguarding and group dynamics
• Outcome harvesting identifying significant changes and verifying contribution claims
• Process tracing testing causal mechanisms through evidence, predictions and rival explanations
• Triangulation comparing findings across methods, sources, researchers and time periods
• Mixed-methods integration using convergence, complementarity, expansion and discrepancy analysis

Participants can commission, manage and act on an evaluation from terms of reference to follow-up.

• Terms of reference specifying purpose, questions, scope, methods, governance and deliverables
• Evaluator selection assessing technical approach, independence, sector knowledge and value
• Inception reports reviewed for design coherence, feasibility and ethical safeguards
• Quality assurance using evidence trails, methodological review and factual validation
• Findings prioritised through significance, confidence, feasibility and decision relevance
• Management responses assigning actions, owners, deadlines and progress review arrangements

Participants can turn appraisal and evaluation evidence into practical management decisions.

• Adaptive management cycles linking evidence review, decisions, action and reassessment
• Learning agendas prioritising uncertainties that materially affect programme choices
• Dashboards designed around decisions, thresholds, trends, disaggregation and exceptions
• Data visualisation matching charts to comparisons, distributions, trends and relationships
• Evaluation reports separating findings, conclusions, recommendations and management implications
• Evidence communication tailored for communities, implementers, boards, funders and policymakers

Participants can build, review and present a complete project appraisal and impact evaluation package.

• Problem analysis and stakeholder assessment consolidated into a decision-ready project rationale
• Theory of Change and logical framework tested against causal assumptions
• Options, feasibility, financial and economic findings assembled into an appraisal case
• Risk, safeguard and implementation controls translated into approval conditions
• M&E framework and impact evaluation design aligned with priority decisions
• Peer review and presentation defending recommendations, evidence limits and next actions