M&E systems are moving away from annual or quarterly reviews. Practitioners use AI-enhanced mobile surveys and automated field data validation at the point of entry for immediate, actionable insights.
Programs are increasingly driven by localized input. Communities and stakeholders are actively involved in the evaluation design and implementation, which fosters trust and ensures interventions remain relevant.
Generative AI is being used to synthesize vast evaluation datasets into executive summaries, multilingual reports, and dynamic, natural-language dashboards.
Drones and satellite imagery are regularly used to evaluate progress in difficult-to-reach areas, tracking metrics such as infrastructure development and environmental changes without needing boots on the ground.
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