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Alexis Adébayo ODOUN-IFA

Benin

Alexis Adébayo ODOUN-IFA Member since 04/02/2026

RAAF/ECOWAS

Expert in MEAL
  • Planification stratégique et opérationnelle ;
  • Suivi-Evaluation ;
  • Animation des bases de données et des plateformes de suivi-évaluation ;
  • Conduite des enquêtes qualitatives et quantitatives ;
  • Conduite des collectes digitalisées des données ;
  • Traitement des données d’enquêtes qualitatives et quantitatives ;
  • Etudes de référence ;
  • Etudes socio-économiques
  • Diagnostic organisationnel ;
  • Conception des masques de saisie ;
  • Capitalisation des connaissances et des expériences

22 ans d'expérience dans le Suivi-Evaluation

My contributions

    • Alexis Adébayo ODOUN-IFA

      Benin

      Alexis Adébayo ODOUN-IFA

      Expert in MEAL

      RAAF/ECOWAS

      Posted on 13/04/2026

      In their writings, Rose Thompson Coon et al. highlight the need to rethink evaluation in order to incorporate a forward-looking, even futuristic, dimension. Indeed, whilst evaluation enables lessons to be learnt, it does not always provide immediate avenues for their operational application once the intervention has ended. Without an in-depth literature review and uptake by other researchers or designers of future projects, the lessons learned from intervention evaluations tend to be forgotten once the interventions have ended. Thus, evaluation reports would benefit from incorporating more in-depth analyses, enabling this forward-looking and future-oriented vision of development to be better taken into account.

    • Alexis Adébayo ODOUN-IFA

      Benin

      Alexis Adébayo ODOUN-IFA

      Expert in MEAL

      RAAF/ECOWAS

      Posted on 25/03/2026

      I would like to thank you for this initiative.

      Retrospective evaluation is essential for assessing impact and drawing lessons. However, in contexts shaped by climate change, it presents significant limitations, particularly in integrated landscape management approaches.

      For example, costly infrastructure such as dams can be destroyed or become ineffective due to extreme climate events. In such conditions, it becomes difficult to measure the real impact of a project or to attribute observed results to the intervention rather than to external factors.

      This uncertainty affects the use of evaluation results, as they may be perceived as unreliable or not representative, thereby limiting their usefulness for decision-making and future planning.