Endline evaluations assess whether programmes in Zimbabwe achieved their intended results by the end of the implementation period. The quality of the evaluation depends directly on the quality and completeness of the monitoring data available.
eSuivi provides a complete data foundation for endline evaluations in Zimbabwe. Access the full indicator history from baseline through every reporting period to endline. Calculate baseline-to-endline changes automatically with statistical context. Review the theory of change to assess whether causal assumptions held true. Export structured datasets for evaluators to analyse independently. Use AI analysis to generate preliminary findings that evaluators can investigate further. The platform ensures that endline evaluations in Zimbabwe are informed by systematic, well-organized evidence rather than ad hoc data compilation.
Build structured logical frameworks with integrated indicator tracking.
Learn more →Predictive insights, trend detection and automated recommendations.
Learn more →Join M&E teams across Southern Africa building better programmes with data.