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Mixed-Methods Data Collection and Analytics

Data Collection: Leveraging our in-country consultants, local partner companies and our in-house data manager, we gather survey data and conduct in-depth interviews, key informant interviews, and focus group discussions, either in-person or online, using innovative and digital approaches.

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Advanced Statistical Data Analysis: 

We transform complex data into actionable insights and tailored recommendations, enabling our clients to develop strategic plans and scale up sustainable, positive change. Our expertise encompasses advanced statistical techniques, including

  • multivariate regression analysis,

  • time-series analysis

  • causal inference and counterfactual methods (see Rigorous Impact Evaluations),

  • machine learning algorithms, and

  • forecasting models.

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Qualitative methods: We carry out qualitative studies to complement quantitative insights and gain a deeper understanding through triangulation. Our goal is to derive actionable solutions and recommendations for our clients.

Among others, we offer the following qualitative methods:​

  • Contribution Analysis,

  • Outcome Harvesting
  • Most Significant Change Analysis

  • Most Similar Case design

  • Case Stories

  • Qualitative Comparative Analysis 

  • Process Tracing 

 

Mixed-Methods: We employ a mixed-methods research approach in all our work, combining rigorous quantitative data and qualitative insights within the same study. By triangulating data sources, we ensure a comprehensive understanding of holistic impact and uncover impact pathways, enabling actionable and targeted recommendations.

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