We work across research, public programs, and healthcare to turn complex questions and data into evidence that people can act on.
Organized around the problems clients are trying to solve. The technical methods — statistics, surveys, modeling, UX research — sit underneath each service, not in front of it.
Have a research question? We help you design the study, analyze the evidence, and strengthen the final research output — from proposal to publication.
Running a program? We help you measure performance, demonstrate results, and use evidence to improve implementation — for NGOs, government programs, foundations, and development organizations.
Building a healthcare solution? We help you understand users, design workflows and products, and evaluate whether they work in real clinical and community settings.
Expand a service to see the individual capabilities it includes. These are the building blocks we combine for each engagement.
Research topic & question development
Research objectives & hypotheses
Study design
Conceptual & theoretical frameworks
Variables & outcome definition
Sampling strategy & sample size
Research protocols
Literature reviews & evidence synthesis
Research methodology
Questionnaire & instrument design
Data cleaning & preparation
Descriptive & inferential statistics
Statistical modeling & regression analysis
Advanced statistical methods
Machine learning for research
Data visualization & results interpretation
Proposal, thesis & dissertation review
Methodology & statistical critique
Academic writing & manuscript support
M&E framework development
Theory of Change
Logical frameworks / logframes
Results frameworks & monitoring plans
Evaluation, baseline & endline frameworks
KPI & indicator development
Indicator definitions, targets & milestones
Output & outcome indicators
Performance measurement & tracking systems
KPI & program dashboards
Beneficiary, community & patient satisfaction surveys
Needs assessments & KAP surveys
Baseline & endline surveys
Digital data collection tools
Interview & focus-group guides
Baseline, midterm & endline evaluation
Process, outcome & impact evaluation
Beneficiary & program effectiveness assessment
M&E data analysis, cleaning & validation
Performance, donor & impact reports
Evidence-based recommendations
Program implementation monitoring & learning
Healthcare & clinical workflow analysis
Patient & provider journey mapping
Care pathway analysis
Health system process mapping
Service design & bottleneck identification
Healthcare process improvement
User, patient & healthcare professional research
Stakeholder research & user interviews
User needs assessment & UX research
User journey mapping & personas
Usability assessment
Product discovery & requirements
Feature definition & user flows
Information architecture & UX design
Wireframes, prototypes & service blueprints
Human-centered design
Usability, prototype & user acceptance testing
Pilot evaluation & workflow validation
Product feedback & iteration
Adoption assessment & engagement metrics
Product KPIs & user experience measurement
Digital health & implementation evaluation
Product performance, outcome & impact analysis
Every engagement follows the same path, scaled to the size of the problem.
What are you trying to understand, measure, build, or improve?
We determine the appropriate research, evaluation, analytical, or design approach.
We collect, structure, analyze, and interpret the relevant evidence.
We turn findings into decisions, improvements, products, and recommendations.
A few of the situations organizations bring to us.
You have a research question or dataset but need a study design and analysis plan that will survive peer review.
You are implementing activities but cannot yet demonstrate performance or impact to your donors and board.
A clinical process or digital health product needs user research, redesign, and testing before it scales.
Every engagement starts with the decision the work needs to support, and ends with findings that are documented, interpreted, and ready to use.
A small practice at the intersection of clinical medicine, research methodology, and applied data science — supporting universities, researchers, NGOs, government programs, and health technology teams.
Tell us what you are trying to understand, measure, build, or improve. The first conversation is free and without commitment.