Case study 03
Baseline & Midline Data Collection
Approach
- Tool design
- Mobilizer training
- Registration
- Midline follow-up
Context
Nutrition programmes require reliable baseline and follow-up information.
Challenge
Field data quality depends on mobilizers who understand both the tool and the purpose behind it.
Jeremiah's role
Provided technical support to field data collection, trained mobilizers and supported participant registration.
Result
2,165+ children and 435 pregnant and lactating women registered, with 60 mobilizers trained.
Learning
Investing in enumerator understanding reduces data cleaning work at the end of the cycle.
Better systems. Better evidence. Better decisions.
Development challenges are rarely solved by data alone. They require people who understand the problem, systems that work, evidence that can be trusted and the willingness to learn and improve.
Jeremiah Iyasco
Development • Data • Leadership