At M31 Research, we are dedicated to delivering high-quality, context-specific data collection services tailored to the unique needs of projects in Rwanda. With extensive experience in the Rwandan research landscape, we provide precise, reliable, and actionable insights for international nonprofit organizations, government agencies, and private sector partners.

Local Expertise and Presence

M31 Research operates with an established presence in Rwanda, supported by a network of local field teams, bilingual enumerators fluent in Kinyarwanda, English, and French, and experienced field supervisors. Our in-country presence ensures cultural sensitivity, language fluency, and community trust in every data collection exercise.

Logistical Capacity and Infrastructure

We have robust logistical capabilities that enable us to conduct fieldwork across diverse terrains, from urban centers like Kigali to remote rural districts. Our teams are equipped with tablet computers preloaded with advanced data collection applications such as SurveyCTO, KoboToolbox, and ODK Collect, ensuring real-time data transmission and monitoring.

Highly Skilled Enumerators and Field Teams

Our enumerators and field teams are carefully selected and extensively trained in ethical data collection practices, quality assurance protocols, and advanced interviewing techniques. They are experienced in:

• Large-scale household surveys

• Focus group discussions (FGDs)

• Key informant interviews (KIIs)

• Community-based participatory research

Legal and Ethical Compliance in Rwanda

M31 Research is fully registered and compliant with Rwanda’s legal and regulatory requirements for research activities. We have experience in obtaining Rwanda National Ethics Committee (RNEC) approvals and government research permits, ensuring our operations adhere to national and international ethical standards.

Real-Time Data Monitoring and Quality Assurance

Our multi-layered quality assurance system includes:

• Real-time data validation and monitoring dashboards.

• Automated error checks and logical consistency tests.

• Supervisor-led spot checks and field validations.

These processes guarantee accurate, complete, and reliable datasets.