The AI-powered MEAL specialist for NGOs, INGOs, and development organisations. From logframe design and indicator development to data quality assurance and learning extraction — MEAL delivers standards-compliant M&E frameworks grounded in OECD DAC criteria, SPHERE standards, and donor requirements.
Poorly structured results frameworks lead to unmeasurable outcomes. MEAL builds logframes with SMART indicators, clear causal chains, and measurable targets.
Unreliable data undermines programme decisions. MEAL implements data quality assessment protocols and validation frameworks.
Generic reports don't meet donor requirements. MEAL formats outputs to match USAID, EU, DFID, World Bank, and other donor reporting templates.
Communities often lack voice in programme design. MEAL builds complaint and feedback mechanisms aligned with CHS and SPHERE standards.
Lessons learned stay in people's heads. MEAL systematises learning extraction, knowledge management, and adaptive programming.
Spreadsheet-based monitoring is error-prone and slow. MEAL designs indicator tracking systems with clear data flows and reporting cadences.
Describe the intervention, target population, theory of change, and donor requirements.
MEAL builds a results framework with logframe, indicators, baseline-targets, data collection plan, and reporting schedule.
Validates indicator definitions, data sources, collection methods, and ensures alignment with OECD DAC and donor standards.
Delivers logframes, M&E plans, indicator reference sheets, data collection tools, and donor-formatted reports.
Every output aligns with OECD DAC, CHS, SPHERE, and major donor requirements — not generic M&E templates.
Complete logframes, M&E plans, and indicator sheets generated in minutes. What takes M&E officers days of work.
Every indicator, every data source, every collection method is grounded in M&E best practice — not guesswork.
MEAL builds the entire results framework: theory of change, logframe, indicator reference sheets, and M&E plan — ready for donor submission.
MEAL aggregates indicator data, analyses progress against targets, flags underperforming areas, and formats the report per donor template.
MEAL drafts the evaluation ToR, designs the methodology, builds sampling frameworks, and develops data collection instruments.
Start a conversation with MEAL for standards-compliant M&E support.