A project can perform well without being equitable. How disaggregated data, intersectionality and the “Leave No One Behind” principle are redefining the evaluation of development projects. … Read More
data-driven decisions
Évaluation de l’équité : mesurer si un projet ne laisse personne de côté
Un projet peut être performant sans être équitable. Comment les données désagrégées, l’intersectionnalité et le principe « Leave No One Behind » redéfinissent l’évaluation des projets de développement. … Read More
Le paradoxe du suivi-évaluation parfait : quand la rigueur empêche d’apprendre
Comment un dispositif techniquement irréprochable peut limiter l’apprentissage organisationnel, et pourquoi la gestion adaptative devient une nécessité pour les projets de développement. … Read More
The paradox of perfect M&E: when rigor prevents learning
How a technically flawless M&E system can limit organizational learning, and why adaptive management has become a necessity for development projects. … Read More
More data, fewer decisions: why M&E rarely steers projects
Projects produce more data than ever, yet it steers almost nothing. The organisational ruptures between collection and decision-making, and how to fix them. … Read More
Monitoring & evaluation accountability to beneficiaries : a paradigm shift
Do beneficiaries have a right to the results of the projects that affect them? How AAP, CHS standards and Community-Led Monitoring are redefining the very purpose of monitoring and evaluation. … Read More
Capacity building indicators : how to truly measure training outcomes
Training is not transforming. Measuring is not counting. A methodological framework for capacity-building indicators that actually change something. … Read More
Data, Information, Knowledge: The Confusion That Costs Projects Dearly | Delta Monitoring
Three terms used interchangeably in logical frameworks. A silent but massive cost on a project’s ability to steer itself. … Read More