This document discusses key challenges for effective monitoring, learning, and evaluation (MLE) in adaptive programming. It notes some challenges with monitoring including gaps in teams and complicated frameworks. It provides examples of output and outcome indicators. It emphasizes that learning should be done for, from, and with partners and programs. Evaluation criteria discussed include relevance, effectiveness, efficiency, impact, and sustainability. It concludes that an enabling environment, skills, culture and resources are needed for successful MLE and notes its connection to results-based programming, adaptive programming, and working politically.

1. Arnaldo Pellini

2. It’s MLE not MEL! Key
challenges from ODI’s
experience with effective
Monitoring, Learning &
Evaluation in adaptive
programming

4. M – E – L

5. M – L – E
Day-to-day Intermittent

7. Monitoring

8. Monitoring
Some challenges:
• Gap in the team
• Complicated frameworks

9. Monitoring

10. Monitoring
Eg. Outcome indicators
Number of issues around which institutional
structures and capacities have been
significantly improved

11. Monitoring
Eg. Output indicators
Number of significant and tractable policy problems
identified with stakeholders

12. Monitoring
DFAT
Performance
Assessment
Framework

14. Learning

15. Learning
Learning for
the programme
& partners

16. Learning
Learning from
the programme
& partners

17. Learning
Learning with
the programme
& partners

18. Learning
Learning with
the programme
& partners

20. Evaluation

21. Evaluation

22. Evaluation
Relevance
Effectiveness
Efficiency
Impact
Sustainability

23. Evaluation

24. Conclusion

25. M – L – E

26. • Enabling environment
• Skills
• Culture
• Resources

28. Results-based
programming
Adaptive
programming
Working
politically

29. Salamat