The "leave no one behind" principle requires organizations in Eswatini to disaggregate M&E data to understand who is benefiting from programmes and who is being left out. Aggregate numbers hide inequality.
eSuivi supports multi-dimensional data disaggregation for every indicator in your framework. Disaggregate by sex, age group, disability status, geographic area, urban and rural, wealth quintile, displacement status and any custom dimension relevant to your Eswatini context. View disaggregated data in dashboards that instantly reveal equity gaps. Use AI analysis to identify which population groups are underserved. Generate reports that demonstrate to donors and government partners in Eswatini that your programmes are reaching the most vulnerable. The disaggregation framework is flexible — add new dimensions as programme needs evolve without restructuring your indicator system.
Build structured logical frameworks with integrated indicator tracking.
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