Research & Evaluation
Research design, quantitative and mixed-methods studies, programme evaluation and impact assessments.
View service areaResearch, Analytics & Evidence Services
We deliver integrated research and analytical services that help institutions generate reliable evidence, address complex research questions and make informed decisions.
Our work combines methodological rigour, data science, machine learning, advanced statistical analysis, evidence synthesis and programme evaluation, with solutions tailored to each project's objectives.
Four connected areas of consulting support
The services are organized around the major areas of research and evaluation, evidence synthesis, data science and analytics, and monitoring, evaluation and learning.
Evidence Synthesis
Systematic reviews, meta-analysis, scoping reviews, rapid evidence reviews and evidence mapping.
View service areaData Science & Analytics
Data science, machine learning, predictive analytics, biostatistics, statistical modelling and data visualisation.
View service areaMonitoring, Evaluation & Learning
Monitoring frameworks, baseline studies, midterm evaluations, endline evaluations, performance measurement and programme learning.
View service areaSelected capabilities across service engagements
These capabilities can support research, evaluation, evidence synthesis and MEL work without turning the overview into a software or technique catalogue.
Statistical Modelling
Machine Learning & Predictive Analytics
Data Visualisation & Dashboards
Analytical Automation
Monitoring Systems & Indicators
From research question to decision support
Services can be engaged individually or combined depending on the research, evidence or programme requirement.
Research Question
Data & Evidence
Analysis
Interpretation
Decision Support
Built for research, programme and institutional contexts
The service structure is suited to organisations and teams that need rigorous evidence, clear analysis and usable learning.
Researchers
Universities & research institutions
NGOs
Development organisations
Humanitarian organisations
Health organisations
Programme and project teams
Integrated rather than disconnected technical services
Research methodology, quantitative analysis, evidence synthesis, data science and MEL are treated as connected parts of evidence generation.
A research or programme question may require design support, data preparation, statistical analysis, evidence review, interpretation and learning products. The service architecture allows these elements to be combined without losing sight of the decision or evidence need.
This keeps the emphasis on producing credible, interpretable evidence rather than presenting analytics, reviews or evaluation tasks as isolated technical products.
Connect services with research and scholarly work
Explore the research sections connected to publications, scholarly contributions, research areas and selected research projects.
Have a research, analytics, evidence synthesis or evaluation challenge?
Review indicative engagement fees or use the contact page to discuss whether a focused service or combined research, analytics and evidence workflow is the right fit.