Data Analysis

We transform raw data into strategic insights. Our team combines technical rigor with practical experience to deliver analysis that not only meets academic standards but directly informs action.

Our services include:

• Causal Inference and Impact Analysis: We employ advanced statistical methods—such as regression discontinuity, difference-in-differences, propensity score matching, instrumental variables, and randomized controlled trials—to estimate program impacts and assess effectiveness.

• Descriptive and Diagnostic Analysis: We identify patterns and trends in large, complex datasets, providing clients with baseline profiles, subgroup breakdowns, and historical performance insights.

• A/B Testing and Rapid Experimentation: For EdTech and digital product partners, we design and analyze A/B tests to evaluate user engagement, content effectiveness, and design features.

• Mixed-Methods Integration: We are highly skilled at integrating qualitative and quantitative data into cohesive findings, allowing for richer interpretation and strategy alignment.

• Statistical Programming and Automation: We use statistical programs, like Stata and R, to ensure reproducibility, scalability, and efficiency in data processing and analysis.

Common use cases:
✔ “We need someone to own the analysis on this grant-funded evaluation.”
✔ “We’re running an A/B test on a learning platform—can you help interpret the results?”
✔ “We have a lot of survey and interview data—can you make sense of it all and pull out themes?”

Ready to get started?