Best Practices
Practical guidance for stronger logframes, indicators, DQA, and evaluation readiness.
Indicator design
- Specific, measurable, time-bound
- Separate outputs vs outcomes
- Define calculation, frequency, disaggregation
Baselines & targets
- Document sampling and tools
- Train enumerators + pilot
- Lock approved baseline values
Data quality assurance
- Form validation rules
- Verification workflow
- Outlier and duplicate review
OECD-DAC alignment
Ensure evidence answers relevance, coherence, effectiveness, efficiency, impact, sustainability.
Templates & checklists
Indicator name:
Definition:
Unit:
Disaggregation:
Frequency:
Source:
Calculation:
Quality checks: