Social Protection Monitoring and Evaluation Training Course

Participants can build a results framework with measurable and decision-relevant results statements.

• Logical Framework structure: goal, outcome, output, activity and assumptions
• Writing outcome statements with population, change and timeframe specified
• Vertical logic tests for plausible contribution between programme results
• Results chains for regular transfers and shock-responsive top-up payments
• Using OECD DAC criteria within programme performance frameworks
• Aligning national social protection strategies with programme-level results

Participants can specify valid indicators and document them in usable reference sheets.

• Selecting indicators for coverage, adequacy, timeliness and inclusion
• SMART criteria applied to social protection performance indicators
• Indicator reference sheets defining numerator, denominator, source and frequency
• Disaggregating results by sex, age, disability, location and displacement
• Avoiding proxy indicators that obscure beneficiary experience or outcomes
• Setting baselines, targets and thresholds for management action

Participants can prepare a practical monitoring plan covering responsibilities, sources and reporting cycles.

• Monitoring plans linking indicators, sources, responsibilities and reporting deadlines
• Routine monitoring versus periodic surveys and evaluation data collection
• Assigning data ownership across ministries, payment providers and partners
• Creating reporting calendars aligned with payment cycles and management meetings
• Escalation thresholds for delayed payments, low coverage and data anomalies
• Budgeting monitoring activities, supervision visits and independent verification

Participants can assess administrative data sources for monitoring coverage, delivery and beneficiary records.

• Social registry data fields for eligibility, household composition and vulnerability
• Management information systems tracking enrolment, payments and case management
• Reconciling beneficiary lists, payment files and financial transaction records
• Unique identifiers, deduplication rules and household record updates
• Administrative data limitations: missingness, lag, misclassification and access restrictions
• Data interoperability between registries, civil registration and payment systems

Participants can apply data-quality checks and document corrective actions for routine monitoring data.

• Routine Data Quality Assessment dimensions: accuracy, completeness, timeliness and integrity
• Source document verification against reported indicator values
• Tracing selected records through registration, approval and payment processes
• Detecting duplicate beneficiaries, impossible values and inconsistent dates
• Data-cleaning logs documenting changes, reasons and responsible staff
• Corrective action plans following data-quality assessment findings

Participants can measure whether intended population groups are reached fairly and accurately.

• Targeting methods: categorical, proxy means, community-based and geographic approaches
• Coverage indicators distinguishing eligible, enrolled and receiving populations
• Inclusion and exclusion errors measured against programme eligibility criteria
• Analysing take-up rates among eligible households and population groups
• Monitoring registration barriers affecting remote, displaced and disabled applicants
• Comparing programme coverage with poverty maps and population estimates

Participants can monitor delivery performance from enrolment through receipt of benefits.

• Delivery chain indicators for registration, verification, payment and recertification
• Payment timeliness calculated from scheduled and actual transfer dates
• Payment failure analysis by provider, channel, location and beneficiary group
• Monitoring transfer value adequacy against programme policy and household needs
• Field verification of payment agents, accessibility and beneficiary information
• Service standards for communication, waiting times and case resolution

Participants can design feedback and complaint-monitoring systems that support accountable programme management.

• Complaints and feedback mechanisms for registration, payments and eligibility decisions
• Case classification by issue type, severity, location and resolution status
• Service-level indicators for acknowledgement, investigation and case closure
• Feedback sampling methods for phone surveys and community consultations
• Safeguarding referral protocols for protection, fraud and exploitation concerns
• Closing the feedback loop through beneficiary communication and published actions

Participants can plan household survey components that complement routine programme data.

• Survey objectives linked directly to unresolved monitoring and evaluation questions
• Questionnaire modules for consumption, food security, coping and livelihoods
• Recall periods selected to reduce respondent burden and reporting error
• Pilot testing questionnaires, translations and enumerator instructions
• Computer-assisted personal interviewing controls for skips and range checks
• Fieldwork supervision procedures for consent, quality and respondent protection

Participants can select defensible sampling approaches and interpret basic precision measures.

• Probability sampling frames drawn from registries, communities and household listings
• Simple random, systematic, stratified and cluster sampling choices
• Sample size drivers: precision, prevalence, design effect and nonresponse
• Weighting survey estimates for unequal selection probabilities and attrition
• Confidence intervals interpreted for programme coverage and outcome estimates
• Measurement error, recall bias and social desirability bias mitigation

Participants can analyse monitoring evidence for differential access, experience and outcomes.

• Equity analysis comparing outcomes across relevant beneficiary population groups
• Washington Group Short Set questions for functional difficulty disaggregation
• Gender analysis of registration control, payment access and household decision-making
• Intersectional analysis across sex, disability, age, location and displacement
• Accessibility checks for information, registration points and payment channels
• Equity action plans responding to identified access and outcome gaps

Participants can design a process evaluation that explains how and why delivery results occur.

• Process evaluation questions focused on fidelity, reach, quality and adaptation
• Implementation fidelity assessed against programme manuals and service standards
• Qualitative methods: key informant interviews, focus groups and observation
• Purposive sampling for frontline workers, beneficiaries and excluded households
• Coding frameworks connecting interview evidence to programme delivery assumptions
• Triangulating administrative, survey and qualitative findings for delivery conclusions

Participants can select appropriate designs for estimating programme outcomes and plausible impacts.

• Evaluation questions distinguishing attribution, contribution and implementation learning
• Experimental designs using random assignment and clearly defined comparison groups
• Quasi-experimental methods: difference-in-differences, matching and regression discontinuity
• Baseline and endline designs for measuring changes over time
• Threats to validity: selection bias, spillovers, attrition and confounding
• Ethical evaluation choices where withholding benefits creates unacceptable risk

Participants can frame cost and value questions for social protection programme decisions.

• Cost categories: transfers, administration, systems, outreach and grievance handling
• Unit cost calculations per registered, enrolled and paid beneficiary
• Administrative cost ratios interpreted alongside delivery quality and coverage
• Cost-effectiveness analysis linking programme costs to defined outcome measures
• Cost-benefit assumptions for income, consumption and human capital outcomes
• Comparing delivery channels using cost, timeliness, accessibility and risk

Participants can apply ethical and data-protection controls to monitoring and evaluation activities.

• Informed consent procedures for surveys, interviews and beneficiary feedback
• Data minimisation principles for household and sensitive personal information
• Role-based access controls for registries, case files and survey datasets
• Anonymisation and pseudonymisation methods for analysis and reporting datasets
• Risk assessment for collecting protection, disability and household income data
• Safeguarding protocols for disclosures of violence, abuse and exploitation

Participants can convert monitoring and evaluation data into defensible findings and management questions.

• Descriptive analysis using frequencies, proportions, averages and disaggregation tables
• Trend analysis comparing coverage, payments and complaints across reporting periods
• Cross-tabulations identifying delivery gaps between beneficiary population groups
• Funnel analysis locating attrition from application through payment receipt
• Interpreting statistical findings alongside operational and qualitative evidence
• Separating observed patterns, plausible explanations and evidence-based recommendations

Participants can communicate evidence through concise reporting products linked to management decisions.

• Dashboard design for coverage, payments, complaints and equity indicators
• Management reports structured around findings, implications, decisions and owners
• Data visualisation choices for trends, geographic variation and disaggregated results
• Learning agendas prioritising uncertainties with material programme consequences
• After-action reviews following payment disruptions, shocks or system failures
• Decision logs recording actions, evidence sources, deadlines and follow-up

Participants can commission and manage evaluation work with clear scope, quality criteria and governance.

• Terms of reference specifying purpose, users, questions, methods and deliverables
• Evaluation budgets covering fieldwork, analysis, translation and dissemination
• Technical proposal assessment using methodological quality and feasibility criteria
• Inception reports confirming design, sampling, tools and ethical procedures
• Quality assurance reviews of instruments, analysis plans and draft reports
• Stakeholder governance arrangements protecting evaluator independence and data access

Participants can build, review and present a complete monitoring and evaluation package for a social protection programme.

• Programme Theory of Change linking delivery mechanisms to intended outcomes
• Results framework with measurable outputs, outcomes, assumptions and risks
• Indicator matrix specifying definitions, sources, disaggregation and reporting frequency
• Monitoring plan covering administrative data, surveys, feedback and quality checks
• Evaluation design addressing priority questions, methods, ethics and governance
• Management reporting package linking findings to decisions and accountability actions