Research Services
Research, Evaluation & Impact Studies
Since 2009, we have been supporting NGOs, research organizations, and development programs with evidence-based research, evaluation, and impact studies. Our work helps organizations make informed decisions, improve program design, and measure real-world outcomes.
We conduct a variety of research and evaluation projects, tailored to generate rigorous and actionable evidence including Action Research, Empirical Studies, Experimental Studies, Program Evaluation, Impact Assessment, Monitoring & Evaluation (M&E) Studies, and Case Studies.
Our projects are implemented using robust and reliable methodologies including Feasibility Studies, Pilot Studies, Baseline, Midline and Endline Surveys, Household Surveys, Social Research and Applied Studies, and Impact Studies measuring real-world effects and long-term outcomes of interventions.
Monitoring, Evaluation & Learning (MEL)
We provide comprehensive Monitoring, Evaluation, and Learning (MEL) services to help organizations track progress, measure results, and make informed decisions. Our MEL approach is designed to strengthen program effectiveness, promote accountability, and support evidence-based learning, ensuring that projects deliver meaningful social impact.
Our planning and framework development services include M&E Framework and Indicator Development, Theory of Change Development, and Logical Framework (Logframe) and Logic Model Development — structuring objectives, activities, outputs, and outcomes for clarity, monitoring, and reporting.
Through our MEL services, organizations maximize program effectiveness by identifying what works, enhance accountability to stakeholders and donors, promote learning and adaptive management to refine interventions, and align with organizational goals to ensure evidence-based planning, decision-making, and impact measurement.
Research Methods & Study Design
We use a variety of rigorous research methods to generate evidence, evaluate programs, and inform decisions. Our experimental and quasi-experimental methods include Randomized Controlled Trials (RCTs) for measuring causal effects, Quasi-Experimental Designs for assessing program impact when randomization is not feasible, Longitudinal and Panel Studies for tracking changes over time, and Mixed Methods Research combining qualitative and quantitative approaches.
Our qualitative and participatory methods include Key Informant Interviews (KII), Focus Group Discussions (FGD), Participatory Rural Appraisal (PRA), Most Significant Change (MSC) Technique, and Community Resource Mapping — engaging communities to visualize assets, resources, and capacities.
For rapid and targeted assessments, we conduct focused studies to provide immediate insights for decision-making and program adjustments across diverse development contexts.
Data Collection & Management
We ensure high-quality, reliable data through a structured approach. We collect field data using advanced digital survey platforms, including SurveyCTO and KoboToolbox, ensuring accurate, secure, and reliable data. At every step, we implement robust measures to maintain high-quality and authentic data — forming a strong foundation for research and decision-making.
Our data collection process includes carefully structured digital questionnaires with built-in validations, pilot testing, enumerator training covering ethical data collection and informed consent, face-to-face interviews with audio-recorded supervision, GPS coordinates and timestamps, and real-time monitoring via dashboards. Data is securely uploaded to central servers and stored offline in areas with limited connectivity.
Once collected, data undergoes rigorous management and cleaning — including data organization, quality verification, error detection and correction, standardization, outlier review, and final verification with multiple backups — guaranteeing that datasets are accurate, trustworthy, and ready for high-quality analysis.
Data Analysis & Evidence Generation
Our team specializes in social science research, combining rigorous quantitative, qualitative, and econometric methods to generate meaningful insights that inform policies, programs, and decision-making. We apply advanced analytical tools to understand social, economic, and behavioral phenomena in context.
Our quantitative capabilities include Descriptive and Inferential Statistics, Regression Analysis using linear, logistic, multinomial and probit models, Panel Data Models with fixed and random effects, Instrumental Variables (IV) and Two-Stage Least Squares (2SLS), Difference-in-Differences (DiD) and Propensity Score Matching (PSM), Impact Evaluation and Experimental Design, and Economic and Financial Analysis including Cost-Benefit and Return on Investment (ROI). Software expertise includes Stata, SPSS, R, Excel, and Python.
For qualitative analysis, we apply Thematic and Content Analysis, Narrative and Case-Based Analysis, and Mixed-Methods Integration using NVivo, Atlas.ti, and MAXQDA — capturing the human context and narratives behind quantitative data.
We also develop interactive dashboards, visualizations, and maps to clearly communicate findings, produce policy briefs and reports for decision-makers, and provide additional capabilities including survey design, GIS and geospatial analysis, social network analysis, and monitoring and evaluation frameworks.