From Fragmented Field Data to Actionable Insights

PEAS supports over 250,000 young people annually through a network of 46 schools across Africa. Delivering education programmes at this scale requires robust data on attendance, learning outcomes, teacher performance, and community engagement — across multiple geographies and school sites.

The challenge common to education-focused NGOs operating at scale is data fragmentation: field information collected through disconnected spreadsheets, paper forms, and informal reporting channels makes it difficult to monitor programme performance consistently or produce evidence-based reports for institutional partners and funders.

Programme managers need timely, reliable data. Funders and partners need credible results. And field teams need reporting tools that work within their actual working conditions.

The approach starts with understanding how data currently flows — from field collection to programme review to external reporting. Rather than replacing existing processes wholesale, the design identifies the highest-friction points and builds connected solutions around them.

For an education-focused organisation like PEAS, this means aligning data collection tools with the indicators required by school performance frameworks, government reporting requirements, and institutional donor expectations.

The goal is not to implement the most sophisticated system available. It is to implement the most appropriate system — one that field teams will actually use, programme managers will trust, and leadership can rely on for evidence-based decisions.

A connected programme monitoring workflow combining digital data collection at school and community level, automated validation and deduplication, centralized data storage, and accessible dashboards for programme and senior management review.

For an organisation with PEAS's geographic spread, mobile-first data collection tools — designed for variable connectivity environments — are integrated with a central reporting layer that surfaces attendance trends, learning outcome indicators, and programme reach by school and region.

• Indicator framework and results chain design
• Mobile data collection tools for field teams
• Automated validation and data quality checks
• Programme performance dashboards
• Board and funder reporting templates
• MEAL team training and system handover

The system is designed to grow — additional programmes, geographies, and reporting requirements can be incorporated without rebuilding the core architecture.