Sustainability and Impact Assessment Training Course

Participants can frame assessment questions using a credible analysis of context, needs and stakeholders.

• Problem trees separating root causes, immediate causes and consequences
• Conflict sensitivity analysis using dividers, connectors and actor interests
• PESTLE analysis for policy, market, climate and institutional conditions
• Seasonal calendars identifying shocks, workloads, access barriers and service demand
• Vulnerability analysis using exposure, sensitivity and coping capacity
• Assessment questions derived from programme risks and decision needs

Participants can construct a Theory of Change with testable causal pathways and assumptions.

• Theory of Change components: interventions, pathways, assumptions and long-term outcomes
• Backward mapping from intended impact to deliverable programme activities
• Causal links stated as testable if-then propositions
• Assumption mapping by importance, uncertainty and available evidence
• External influences including markets, policy, conflict and climate shocks
• Negative pathways and unintended effects incorporated into causal models

Participants can assess the conditions required for project benefits to continue after support ends.

• Sustainability pathways through ownership, financing, capacity and institutionalisation
• Exit strategy milestones linked to service continuity and local responsibility
• Local systems mapping for government, community, market and civil-society roles
• Financial sustainability analysis of recurrent costs and revenue sources
• Capacity transfer plans with competency, coaching and retention measures
• Dependency risks identified through stakeholder incentives and resource flows

Participants can design inclusive stakeholder engagement for assessment planning, evidence collection and validation.

• Stakeholder mapping using influence, interest, legitimacy and vulnerability criteria
• Power analysis examining formal authority, informal influence and exclusion
• Community participation spectrum from information sharing to shared decision-making
• Key informant selection criteria for diverse and underrepresented perspectives
• Informed consent procedures for interviews, observations and group discussions
• Feedback and complaints channels integrated into assessment processes

Participants can screen project activities for material environmental, social and safeguarding risks.

• Environmental and social screening before detailed assessment design
• IFC Performance Standards principles relevant to community-based projects
• Risk registers covering likelihood, consequence, controls and residual risk
• Climate risk screening for hazards, exposure and adaptive capacity
• Safeguarding risks affecting children, women, persons with disabilities
• Mitigation measures assigned to owners, timelines and verification sources

Participants can formulate answerable questions and select designs proportionate to programme decisions.

• Evaluation questions aligned with relevance, coherence, effectiveness, impact and sustainability
• Question matrices linking evidence needs, methods and intended users
• Formative, summative, developmental and real-time evaluation purposes
• Design selection based on decision stakes, timing, budget and feasibility
• Unit of analysis defined for households, services, institutions and communities
• Scope boundaries established for geography, population, period and interventions

Participants can develop indicators that measure outcome quality, equity and sustainability conditions.

• Indicator reference sheets specifying definition, numerator, denominator and frequency
• SMART criteria tested against decision usefulness and measurement feasibility
• Outcome indicators measuring behaviour, service quality, capability and access
• Sustainability indicators tracking ownership, financing, capacity and institutional uptake
• Disaggregation by sex, age, disability, location and displacement status
• Proxy indicators used when direct impact measurement remains impractical

Participants can plan baselines, targets and samples that provide usable comparison evidence.

• Baseline studies establishing pre-intervention conditions and contextual reference points
• Target setting using historical performance, feasibility and equity considerations
• Probability and purposive sampling matched to assessment questions
• Sample-size drivers: precision, variability, confidence and available resources
• Comparison groups selected with attention to similarity and ethical constraints
• Panel, repeated cross-sectional and sentinel-site measurement approaches

Participants can specify quantitative collection methods and controls for reliable monitoring evidence.

• Structured questionnaires designed around indicators, recall periods and response options
• Mobile data collection forms with skip logic and validation constraints
• Data Quality Assessment dimensions: validity, reliability, precision, integrity and timeliness
• Enumerator training plans covering consent, neutrality and probing techniques
• Field supervision checks for completeness, outliers and interview duration
• Data cleaning rules for duplicates, missing values and inconsistent responses

Participants can design qualitative inquiry that explains mechanisms, perceptions and unintended effects.

• Semi-structured interview guides derived from assessment questions and causal assumptions
• Focus group discussions segmented by gender, age, role and vulnerability
• Most Significant Change technique for participant-defined outcome evidence
• Outcome harvesting for identifying and verifying emergent changes
• Direct observation protocols documenting service quality, use and accessibility
• Thematic coding frameworks linking narratives to sustainability pathways

Participants can apply ethical safeguards to assessment design, fieldwork and data management.

• Do No Harm principles applied to assessment questions and field procedures
• Informed consent processes for adults, children and proxy respondents
• Confidentiality protocols for sensitive protection, health and financial data
• Referral pathways for disclosures of abuse, exploitation or acute distress
• Data minimisation and retention schedules for personally identifiable information
• Researcher safety plans covering travel, communications and incident escalation

Participants can make proportionate causal claims without overstating programme influence.

• Attribution claims distinguished from plausible contribution to observed change
• Contribution analysis testing causal links, assumptions and alternative explanations
• Counterfactual logic explained through comparison, trend and process evidence
• Quasi-experimental designs: matching, difference-in-differences and regression discontinuity
• Process tracing tests for mechanism evidence and rival explanations
• Causal claim wording calibrated to evidence strength and limitations

Participants can analyse and triangulate evidence to reach transparent assessment findings.

• Descriptive statistics for proportions, means, medians and subgroup comparisons
• Cross-tabulation analysis revealing differences by location and population group
• Trend analysis comparing baseline, monitoring, midline and endline results
• Thematic analysis coding qualitative data into evidence-supported findings
• Triangulation matrices comparing survey, interview, observation and document evidence
• Confidence assessments recording evidence quality, consistency and remaining uncertainty

Participants can convert assessment evidence into timely programme adaptations and learning actions.

• Pause-and-reflect reviews structured around evidence, assumptions and decisions
• After-action reviews documenting what happened, why and required changes
• Learning agendas prioritising critical uncertainties and evidence gaps
• Decision logs linking findings to owners, actions and follow-up dates
• Adaptive management triggers based on thresholds, risks and beneficiary feedback
• Management response plans addressing recommendations, resources and accountability

Participants can commission or manage an assessment with clear scope, methods and governance.

• Terms of reference defining purpose, users, scope and key questions
• Evaluation matrices specifying criteria, indicators, sources and analytical methods
• Consultant selection criteria covering sector expertise, independence and methodological competence
• Inception reports used to confirm sampling, tools, ethics and timelines
• Quality assurance checkpoints for tools, fieldwork, analysis and draft reports
• Dissemination plans matching findings to communities, partners, donors and leadership

Participants can rate sustainability readiness using transparent criteria and evidence thresholds.

• Sustainability scorecards rating ownership, capacity, finance, equity and resilience
• Institutional capacity assessments covering governance, systems, people and resources
• Service-delivery continuity analysis after funding reduction or project closure
• Local partner readiness criteria for technical, financial and compliance responsibilities
• Market systems analysis for incentives, relationships and supporting functions
• Scenario planning for optimistic, expected and adverse post-project conditions

Participants can communicate findings, limitations and recommendations to different decision-makers.

• Findings structured around evaluation questions, evidence and judgement criteria
• Evidence tables separating verified results, interpretation and remaining uncertainty
• Data visualisation principles for trends, disaggregation and comparison groups
• Outcome narratives combining participant perspectives with monitored data
• Recommendations prioritised by urgency, feasibility, owner and expected benefit
• Donor reporting language distinguishing achievements, contribution and attribution

Participants can compare projects and identify portfolio risks, evidence gaps and learning priorities.

• Portfolio dashboards aggregating outcome, sustainability, risk and equity indicators
• Project comparison criteria adjusted for context, scale and implementation maturity
• Meta-evaluation methods reviewing quality across multiple completed assessments
• Evidence gap maps identifying under-measured populations, outcomes and geographies
• Cross-project learning reviews identifying repeated assumptions and delivery constraints
• Resource allocation decisions informed by impact potential and sustainability readiness

Participants can build, review and present a complete sustainability and impact assessment package for a live or realistic project.

• Assessment purpose, users, scope and decision points clearly defined
• Theory of Change with pathways, assumptions and unintended effects
• OECD DAC question matrix linked to evidence and methods
• Indicator reference sheets with disaggregation and data-quality requirements
• Mixed-methods collection plan covering sampling, ethics and field controls
• Sustainability scorecard, risk register and post-project continuity analysis
• Analysis, reporting and management response plan presented for peer review