Designing M&E frameworks, indicators, data collection systems, dashboards, developing theory of change, logical framework approach, performance reports to track program progress, outcomes, and impact.

Conducting quantitative and qualitative research, surveys, data analysis, and evidence-based assessments to support informed decision-making.

Relevance: Assess whether interventions address the needs, priorities, and context of beneficiaries and stakeholders.
Coherence: Assess how well an intervention fits with other policies, programs, and interventions. Effectiveness: Measure the extent to which intended objectives and results have been achieved. Efficiency: Assess how well resources such as time, money, and expertise are converted into results. Impact: Assess the broader and longer-term positive and negative effects of an intervention. Sustainability: Assess whether benefits are likely to continue after external support or funding ends

Designing and implement baseline, midline, and endline studies to measure changes and program results.

Conducting assessments to identify community needs, market opportunities, gaps, and priorities.

Designing digital data collection tools, manage databases, clean datasets, and ensure data quality.

Developing performance tracking systems and dashboards to monitor activities, outputs, outcomes, and targets.