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Data Management

End-to-end pipeline design for survey and administrative data — from collection to clean, analysis-ready datasets.

  • Survey instrument design (SurveyCTO, Kobo)
  • Data cleaning & validation pipelines
  • Wide-format & repeat-group processing
  • Variable & value labeling systems
  • Version control & documentation
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Data Analysis

Rigorous analysis using Stata and Python — descriptive stats, econometrics, dashboards, and reports that tell a story.

  • Descriptive & inferential analysis
  • Stata & Python scripting
  • Impact evaluation support
  • Dashboard & visualization design
  • Final reports for donors & partners
🌱

Mentorship & Training

One-on-one and group coaching for early-career researchers, M&E professionals, and teams learning data tools.

  • Stata fundamentals to advanced
  • Survey data workflows
  • Code review & feedback sessions
  • Career guidance for data roles
  • Team capacity-building workshops
How We Work

Our process

1
Discovery

We learn your data situation, tools, and goals before proposing anything.

2
Plan

We design a clear pipeline or analysis plan tailored to your team and timeline.

3
Build

We deliver clean, documented, reproducible code your team can maintain.

4
Handover

We walk your team through everything so they can own it independently.

Ready to get started?

Tell us about your data challenge and we'll figure out the best way to help.

Get in Touch →