Lab 2: Enumerator vs App – What Data Can You Trust?

Can farmer self-reporting tools (like apps) produce valid field data — and when do they fall short?

This lab looks at the exact moment data is captured in the field – comparing enumerator-led methods (like CAPI) with farmer-led self-reporting (like mobile apps). We explore how data quality is shaped not only by technology, but by real human factors: trust, effort, incentives, and ease of use.

Participants will discuss what drives farmers to use (or abandon) app-based reporting – and how peer learning and “learning by doing” can improve participation over time.

The lab will surface practical trade-offs between speed, cost, and data quality, including where errors tend to enter under different collection modes. The aim is to identify what enables data that is accurate, consistent, and timely enough to support real decisions – not just pass a technical check.