RTMI is recognized in the research community for its expertise in health-related studies, including maternal and child health, sexual and reproductive health and rights, health systems strengthening, epidemiology, and nutrition. Additionally, the organization has experience in conducting research in various other fields, such as education, climate change, disaster management, risk reduction, livelihoods, gender equality, child protection, family planning, water sanitation and hygiene (WASH), and humanitarian response.

RTMI has extensive experience in conducting studies using quantitative, qualitative, and mixed-method approaches, as well as various research tools for both small and large-scale surveys. The organization has implemented a range of research designs, including cross-sectional studies, Experimental studies, Randomized Controlled Trials (RCTs), Mapping activities, Longitudinal studies, Case-control studies, Cohort studies, Observational studies, Participatory action research, and qualitative assessments.

RTMI is committed to upholding data integrity by adhering to established data management and quality control protocols. To ensure high-quality data collection at the field level, data collection staff are recruited based on specific organizational criteria and standards. Data is collected using CAPI technology, with real-time monitoring conducted by the research unit at the headquarters and quality control officers at the field level. Additionally, data security is maintained through storage on both internal and external servers to safeguard its integrity.

RTMI is well-equipped with technological tools and expertise to conduct both qualitative and quantitative studies at both small and large scale. RTMI employs CAPI technology for data collection, utilizing modern platforms like KoboToolbox, SurveyCTO, ODK, and others. The organization owns over 100 operational tablet devices, GPS trackers, audio recorders ready to be deployed for data collection.

To safeguard data, RTMI has an internal server that is accessible only to authorized personnel within the research unit. In addition, to provide an extra layer of security and backup, the data is also stored on a secure external server.

RTMI has established robust collaborations with a wide range of organizations and experts across diverse research domains. The organization partners with national and international agencies, including government bodies, NGOs, and academic institutions. Over the years, RTMI has developed an in-house pool of 60 professionals with diverse backgrounds and extensive experience in the development sector. In addition, RTMI maintains strong relationships with experts from various development organizations and universities, whose expertise can be mobilized at short notice. RTMI’s clientele includes prominent UN bodies operating in Bangladesh, such as UNFPA, UNAIDS, UNICEF, UN Women, IOM, WHO, WFP, and FAO, as well as international institutions like the World Bank, USAID, Women for Women International, Johns Hopkins University (JHU), American University (in collaboration with Rotterdam School of Management, Warwick Business School, and University of Cologne), Yale University, Harvard University, Social Impact (SI), Innovations for Poverty Action (IPA), FHI360, Pathfinder International, Nutrition International (NI), Helen Keller International, and Australian Council for Educational Research. Other notable partners include ICF-Macro, JICA, Micronutrient Initiative, Save the Children, Ipas Bangladesh, Rockefeller Foundation, IPPF, Chemonics, PATH, Swisscontact, GIZ, EngenderHealth, JSI, JHPIEGO, and the Government of Bangladesh. This extensive network reflects RTMI’s credibility, technical expertise, and ability to deliver high-quality outputs in research, program implementation, and capacity-building initiatives.

RTMI has extensive expertise in data analysis for both quantitative and qualitative research, supporting evidence-based decision-making across diverse projects. The team is proficient in statistical tools such as SPSS, Stata, R, and qualitative analysis software like NVivo and Atlas.ti. We specialize in analyzing large-scale datasets from baseline, midline, and endline surveys, randomized controlled trials (RCTs), and evaluations, applying advanced methods including descriptive and inferential statistics, regression modeling, and thematic analysis. Additionally, our capabilities extend to ensuring data quality, validation, and cleaning to deliver reliable and actionable insights.