Data You Can Trust. Insights You Can Act On.
MRAC provides reliable and high-quality data collection services that form the foundation of every research and evaluation project we undertake. We combine traditional field-based approaches with modern digital tools to ensure accurate, timely, and representative data collection.
Our field teams are trained, supervised, and quality-checked at every stage — from tool design and enumerator training through to real-time data validation and final dataset delivery.
Whether you need a nationwide household survey, a series of focus group discussions, or digital data capture in remote communities, MRAC has the team, tools, and experience to deliver.
Need field data collected?
Tell us your study area, target population, and timeline — we’ll design the right data collection approach for your project.
Get in touchData Collection Methods
We use a full range of proven data collection methods — selected and combined based on your research objectives and context.
Household Surveys
Structured surveys targeting households to collect quantitative data on demographics, socio-economic conditions, and program outcomes across communities.
Focus Group Discussions (FGDs)
Facilitated group discussions to capture diverse perspectives, experiences, and perceptions on relevant issues from community members and stakeholders.
Key Informant Interviews (KIIs)
In-depth interviews with stakeholders, community leaders, and subject experts to obtain qualitative insights and context-specific information.
Participatory Rural Appraisal (PRA)
Participatory approaches that actively involve communities in data collection, mapping, and problem identification — giving voice to those most affected.
Mobile & Digital Data Collection
Using tablets, mobile applications, and cloud-based systems for efficient, real-time data capture and management — including ODK, KoBoToolbox, and similar platforms.
Field Supervision & Quality Control
Systematic on-site supervision, daily data checks, and validation processes to ensure accuracy, reliability, and adherence to standardized protocols throughout fieldwork.
How We Ensure Data Quality
Every data collection exercise follows a four-stage quality assurance process to guarantee reliable, accurate results.
Tool Design
Carefully designed data collection instruments — questionnaires, guides, and checklists — pre-tested before fieldwork begins.
Enumerator Training
All field staff trained on research protocols, ethics, interview techniques, and digital tools before deployment.
Field Supervision
Dedicated field supervisors conduct real-time checks, spot audits, and daily review of collected data during fieldwork.
Data Validation
Cleaning, validation, and verification of all datasets before handover — ensuring completeness and accuracy.
Related Services
Need Reliable Field Data?
Tell us your study area, target population, and timeline — we’ll handle the rest.
