Glyph designs and delivers independent evaluations, strengthens MEL systems, and turns complex operational evidence into decisions that program teams can use.
Performance, process, outcome, and impact evaluations with fit-for-purpose mixed methods, transparent limitations, and useful recommendations.
Review and strengthen the systems organizations use to monitor, analyze, and learn from results.
Test interventions and distinguish credible effects from trends, implementation differences, and confounding.
Embed evidence into planning and continuous improvement.
We begin with the decision that evidence must inform, assess the available data and design, and develop transparent analysis plans. We document assumptions, validate automated outputs, distinguish measured outcomes from modeled impacts, and show where evidence is limited.
Work can include survey and interview research, administrative data, geospatial and statistical analysis, reproducible coding, and concise reporting for program, leadership, and funder audiences.
From evaluability assessment and design through fieldwork, interpretation, and findings.
Diagnostics, priorities, metrics, QA protocols, reporting templates, and staff handover.
Recurring dataset preparation, impact estimation, AI-output validation, and decision-ready reporting.
