Evaluations & Impact Assessments

Customizing evaluation frameworks to match the specific research questions, donor expectations, and operational constraints.

Integrating AI-enhanced research techniques for more accurate, efficient, and automated data collection & analysis.

Balancing qualitative & quantitative approaches to provide a holistic understanding of program outcomes.

Deploying multi-disciplinary teams with expertise in survey research, key informant interviews, and participatory methods.

Using digital data collection tools (CommCare, Kobo Toolbox, ODK) to ensure high-quality, real-time data collection.

Applying geospatial technologies where applicable to enhance geographically distributed evaluations.

Applying machine learning, AI, and predictive modeling to detect patterns, generate insights, and forecast program effectiveness.

Leveraging statistical techniques (e.g., regression analysis, network analysis, sentiment analysis) to validate findings.

Ensuring high-quality, reproducible analysis through automated data processing pipelines.

Developing visually engaging, data-driven reports that highlight key findings, lessons learned, and actionable recommendations.

Creating interactive dashboards for real-time access to evaluation insights.

Facilitating learning workshops to help stakeholders interpret, apply, and act on evaluation results.