During Phase I, the program established a solid Monitoring and Evaluation (M&E) foundation
to track the activities and performance of Community Health Workers (CHWs). Data collection is
primarily conducted through Kobo, generating a rich and frequent flow of operational data
related to service delivery, follow-up activities, and program implementation.
Over time, the volume and diversity of collected data have increased, reflecting both the scale of
field activities and the ambition to monitor programme performance comprehensively. While this
has enabled detailed reporting, it has also revealed important limitations in the current M&E
system, particularly in terms of data usability, prioritization, and timeliness.
At present, data analysis and reporting rely largely on manual processes and static outputs.
This creates delays between data collection and use, limits real-time visibility for programme
teams, and reduces the potential of data to actively inform operational and strategic
decision-making.
Phase II aims to address these challenges by strengthening the M&E system and transitioning
from a reporting-focused approach to a decision-oriented, real-time monitoring model. A key
objective of this next phase is the development of automated live dashboards directly
connected to Kobo data submissions, allowing indicators to be updated in real time as CHWs
submit data in the field.
Specific objectives include:
- Streamlining and prioritising key indicators for programme management and strategic oversight
- Clearly stated Theory of change
- Improving data quality, consistency, and transparency
- Enabling real-time monitoring of CHW activities through automated data flows
- Reducing manual data processing and reporting efforts