Epidemiological combined with experiential evidence from communities can produce important and sometimes surprising insights into gender relations, to inform policies that address changing needs. CIET has standardised a community-based cross-design for the gender-sensitive collection and analysis of three types of evidence: impact, coverage, and costs. Five steps help to ensure that women’s voices are heard in planning. Gender-stratified analysis of existing data is a starting point. Stratification of all responses by sex of the respondent prevents a numerical bias in favour of men translating into a gender bias in the analysis. Female focus groups inform survey design, interpretation, and appropriate strategies for change. Gender is a factor in risk and resilience analysis. Finally, gender-sensitive logistics ensure women’s equal participation. First-order outputs include actionable gender data to advocate in favour of women. Second-order outputs include an enabling environment for equitable development, challenging the gendered patterns of economic marginalisation.
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