Gender Impact Assessment Training Course

Participants can analyse how gender norms and intersecting identities shape programme effects.

• Sex, gender identity, gender expression and sexual orientation distinctions
• Gender norms shaping mobility, care work, safety and decision-making
• Intersectionality across age, disability, ethnicity, displacement and socioeconomic status
• Power analysis of household, community, market and institutional relationships
• Practical versus strategic gender needs in programme assessment
• Avoiding binary assumptions when defining participant groups and analytical categories

Participants can select and apply an appropriate framework for a programme gender analysis.

• Harvard Analytical Framework: activity, access, control and influencing factors
• Moser Framework: roles, needs, policy approaches and planning tools
• Gender at Work Framework for institutional and social change analysis
• Choosing frameworks according to intervention type and assessment purpose
• Mapping gendered roles, resources, benefits, constraints and decision rights
• Documenting framework limitations and locally relevant analytical adaptations

Participants can map stakeholders and contextual factors that influence gender-related outcomes.

• Stakeholder mapping of rights holders, gatekeepers, allies and opponents
• Political economy analysis of incentives, institutions and informal power
• Conflict sensitivity considerations for gender assessment design and interpretation
• Mapping service access barriers through user journeys and referral pathways
• Analysing laws, policies and customary practices affecting gender equality
• Identifying community organisations suitable for meaningful consultation partnerships

Participants can construct a theory of change that makes gender assumptions explicit and testable.

• Theory of change pathways linking activities, outputs, outcomes and impacts
• Gender assumptions concerning participation, access, agency and social norms
• Causal pathways for redistribution of resources, power and unpaid care
• Risk pathways leading to backlash, exclusion, violence or added workload
• Assumption mapping using evidence strength, uncertainty and influence ratings
• Revising intervention logic after gender analysis findings and stakeholder input

Participants can formulate focused questions for assessing gender-specific programme effects.

• OECD DAC criteria interpreted through gender equality and inclusion
• Question typology: descriptive, normative, causal, comparative and explanatory
• Framing questions about relevance, effectiveness, impact and sustainability
• Developing gender-specific subquestions beneath broad evaluation questions
• Prioritisation matrices balancing decision value, feasibility, risk and cost
• Judgement criteria and performance standards for transparent assessment conclusions

Participants can develop indicators that measure gender outcomes, agency and unintended effects.

• Indicator reference sheets covering definition, disaggregation, source and frequency
• Measuring access, participation, control, agency, norms and safety
• Output, outcome and impact indicators within gender-responsive results frameworks
• Proxy indicators and their risks for measuring empowerment outcomes
• Balancing quantitative indicators with qualitative evidence of lived experience
• Setting realistic baselines, targets and thresholds for gender-related change

Participants can plan disaggregated data collection and sampling appropriate to assessment questions.

• Sex-, age- and disability-disaggregation requirements for assessment datasets
• Sampling frames, inclusion criteria and coverage gaps in programme records
• Stratified sampling for comparing groups with different gendered experiences
• Purposive sampling for marginalised groups and information-rich cases
• Sample-size considerations for subgroup analysis and statistical precision
• Documenting nonresponse, missing data and inaccessible participant groups

Participants can interpret quantitative evidence on differences between participant groups.

• Cross-tabulations comparing participation, access and outcomes by sex
• Disaggregated descriptive statistics: rates, ratios, gaps and percentage-point differences
• Baseline and endline comparisons with gender-specific outcome measures
• Difference-in-differences logic for comparing changes between participant groups
• Confounding factors, selection bias and limits of observational programme data
• Presenting uncertainty without overstating causal claims from limited evidence

Participants can select qualitative and participatory methods for gender-sensitive inquiry.

• Semi-structured interview guides for gendered experiences and decision-making
• Focus group design considering power, safety, homogeneity and facilitation
• Participatory tools: social mapping, seasonal calendars and daily activity clocks
• Most Significant Change stories for unexpected gender-related programme effects
• Outcome harvesting for identifying emergent changes in norms and practice
• Reflexive field notes documenting researcher positionality and interaction dynamics

Participants can design ethical safeguards for gender-related assessment activities.

• Informed consent procedures appropriate to literacy, language and power differences
• Confidentiality protocols for sensitive gender, protection and household information
• Referral pathways before collecting disclosures of violence or protection risks
• Safe recruitment, interviewing and follow-up procedures for vulnerable participants
• Data minimisation, access controls, retention periods and secure destruction
• Managing enumerator wellbeing, supervision and secondary trauma risks

Participants can establish fieldwork controls that protect data quality and participant safety.

• Enumerator selection criteria including language, gender and safeguarding competencies
• Training plans covering consent, probing, confidentiality and referral procedures
• Pilot testing instruments for comprehension, sensitivity and response burden
• Fieldwork protocols for privacy, scheduling, travel and participant compensation
• Quality assurance through back-checks, spot-checks and daily data reviews
• Incident escalation procedures for safeguarding, fraud and data breaches

Participants can analyse evidence to explain how and why effects differ by gender.

• Thematic coding frameworks linking evidence to assessment questions
• Triangulating survey, interview, observation and administrative data sources
• Contribution analysis for testing programme influence on observed changes
• Pattern matching against theory-of-change assumptions and expected mechanisms
• Negative case analysis to examine contradictory or unexpected participant experiences
• Separating findings, interpretations, causal claims and recommendation statements

Participants can identify unintended gender effects and formulate proportionate programme responses.

• Risk scanning for backlash, stigma, exploitation and increased unpaid care
• Assessing intra-household resource shifts following programme participation
• Identifying exclusion caused by eligibility rules, delivery channels and schedules
• Feedback loops connecting community concerns with programme adaptation decisions
• Adaptive management triggers based on gender indicators and qualitative evidence
• Documenting trade-offs between reach, safety, equity and implementation feasibility

Participants can write and present gender findings that support accountable programme decisions.

• Finding statements supported by evidence, limitations and confidence judgements
• Data visualisation choices for disaggregated results and subgroup comparisons
• Writing recommendations with owners, actions, timelines and resource implications
• Reporting sensitive findings without exposing individuals or identifiable communities
• Executive summaries tailored to donors, senior managers and programme teams
• Community feedback formats that communicate findings accessibly and respectfully

Participants can prepare terms of reference and quality-assure gender assessment work.

• Terms of reference specifying scope, questions, methods, ethics and deliverables
• Evaluator competency criteria for gender expertise, context knowledge and safeguarding
• Assessment inception reports: reviewing design, sampling, tools and workplans
• Quality review against UNEG evaluation norms and standards
• Managing methodological changes while protecting assessment credibility and comparability
• Acceptance criteria for datasets, analysis files, reports and dissemination products

Participants can convert assessment findings into funded, owned and monitorable programme actions.

• Recommendation prioritisation using impact, feasibility, urgency and ownership criteria
• Action plans linking findings to design revisions and budget decisions
• Gender action trackers with responsible owners, milestones and evidence sources
• Integrating findings into annual workplans, risk registers and donor reports
• Accountability mechanisms for communicating responses to affected communities
• Follow-up reviews testing whether agreed adaptations improved gender outcomes

Participants can build, review and present a complete gender impact assessment package for a defined programme.

• Defining assessment scope, users, decisions and priority gender questions
• Applying a gender analysis framework to programme context and stakeholders
• Constructing theory-of-change pathways, assumptions and unintended-effect risks
• Completing an assessment matrix with methods, indicators and disaggregation requirements
• Preparing sampling, ethics, safeguarding, fieldwork and data-management plans
• Presenting findings logic, recommendations and an accountable adaptation action plan