From a research question to a usable final output.
Most research and field assignments move through a familiar set of stages: understanding the question, building the tool, preparing the field, collecting information, checking quality, managing the data and turning it into something the client can actually use.
Not every project needs every stage, and not every client comes to MFRS at the beginning. Some arrive with a complete research design and need only field execution. Others need support from the first discussion through final reporting. The lifecycle below shows how those pieces fit together when the full chain is required.
A sequence, not a rigid formula.
The stages below represent the typical logic behind a research and field assignment. Their order may overlap, repeat or change depending on the methodology. A pilot can send a questionnaire back for revision. A quality problem can send a team back into the field. Monitoring may continue long after the first report has been delivered.
The important part is not completing nine boxes.
The important part is knowing which stages an assignment needs, who is responsible for each one, and what evidence is required before the work moves forward.
Research Design
Before fieldwork is planned, the study needs a clear reason for existing. The first stage is therefore about understanding what the client needs to learn, who can provide that information and what kind of evidence will answer the question properly.
- Clarification of study objectives and research questions.
- Identification of target population and respondent groups.
- Review of geography, sample requirements and expected outputs.
- Discussion of methodology, timelines and practical field feasibility.
- Sampling support where this forms part of the agreed scope.
Tool Development
Once the study questions are clear, they have to become instruments that respondents and field teams can actually work with. Depending on the assignment, MFRS may develop the tool, review an existing one, program it digitally or support only the field-testing stage.
- Questionnaire or interview-schedule development.
- Translation and language adaptation where required.
- Skip patterns, validation rules and response constraints.
- Digital form programming using appropriate platforms such as KoboToolbox, ODK or SurveyCTO where required.
- Pilot testing and revision before full deployment.
Field Planning
This is the stage where the written research plan becomes an actual operating plan. Team size, supervisor structure, routes, permissions, travel, respondent access and reporting lines all have to be worked out before deployment.
- Team requirement and field structure by geography.
- Investigator and supervisor deployment planning.
- Assignment-specific training and briefing.
- Route and travel planning.
- Local permissions and institutional coordination where required.
- Daily reporting and escalation structure.
Data Collection
Fieldwork begins with the approved plan, but it rarely remains completely predictable. Respondents may be unavailable, institutions may need repeat visits, routes may change and teams may encounter questions that were not obvious during training.
- Household, institutional, facility, community or telephonic data collection.
- Daily monitoring of completed work against the field plan.
- Supervisor review of team activity.
- Documentation of non-response and material field constraints.
- Escalation of operational or questionnaire issues while teams remain deployed.
Quality Control
Quality control is most useful while there is still time to act on what it finds. MFRS therefore treats field review, validation and verification as part of execution rather than only as an exercise after data collection ends.
- Supervisor review of completed interviews or forms.
- Back-checks or respondent re-verification where required.
- Spot checks and field observations according to the assignment.
- Review of timestamps, GPS, duration or other digital indicators where these form part of the approved data system.
- Identification and escalation of suspicious, inconsistent or incomplete work.
Data Management
Raw field data is not automatically a final dataset. Before analysis, it may require cleaning, validation, coding, restructuring, de-duplication and documentation of corrections or exclusions.
- Completeness and range checks.
- Logical and internal-consistency review.
- Duplicate and unusual-pattern checks where relevant.
- Data entry and verification for paper-based assignments where required.
- Organisation of datasets, codebooks or supporting documentation according to scope.
Analysis
Analysis begins with the original study questions. A useful output should help the client understand what the evidence says — not simply produce a large number of tables because the data allows it.
- Descriptive analysis and summary indicators.
- Cross-tabulation and subgroup analysis where appropriate.
- Trend or comparison analysis where the study design supports it.
- Thematic review for qualitative material where included in scope.
- Data visualisation and dashboards where useful and agreed.
Reporting
Different readers need different outputs. A technical research team may need methodology and detailed tables; programme leadership may need the central findings and implementation implications; a policy audience may need a concise brief.
- Draft and final research or project reports.
- Executive summaries and management briefs.
- Policy briefs where appropriate.
- Case studies and evidence-based success stories where included.
- Presentation of findings where required by the client.
- Reporting of material limitations and field constraints.
Monitoring, Evaluation & Ongoing Advisory
Some assignments end when the final report is handed over. Others continue because the programme itself continues. In those cases, MFRS may remain involved through monitoring, verification, periodic evaluation or assignment-specific advisory support.
- Concurrent or periodic programme monitoring.
- Follow-up verification visits.
- Indicator and outcome tracking.
- Midline or endline studies.
- Review of implementation lessons and changing field conditions.
- Advisory support where included in the engagement.
Clients can enter at different points.
The full lifecycle is useful as a map, but it does not mean every client has to buy every stage from MFRS.
Field Execution Only
The client already has the research design and instrument. MFRS supports field planning, training, deployment, supervision, collection and agreed quality processes.
Research + Field
MFRS supports selected design and tool-development stages together with field execution, data management and reporting.
End-to-End Support
Where appropriate to the assignment and available capability, MFRS can support the project from initial scoping through fieldwork, analysis and final reporting.
Quality is not a separate box between fieldwork and analysis.
Errors can enter a project long before the first interview and long after the last one. That is why quality responsibility changes from stage to stage rather than appearing only under “QC”.
Before Fieldwork
Review the scope, questionnaire, sampling assumptions, team plan, training and deployment readiness.
During Fieldwork
Monitor progress, supervision, back-checks, field issues, respondent coverage and unusual data patterns.
After Fieldwork
Review data, document corrections, assess limitations and check that final outputs reflect the evidence collected.
Problems should travel upward early.
A field issue known on day three is operational information. The same issue discovered after project closure may be a data-quality problem.
The lifecycle should serve the study — not the other way around.
A rapid assessment, a large household survey, a monitoring assignment and a multi-year evaluation will not be managed in exactly the same way. MFRS uses this lifecycle as an operating framework, then adjusts the team, methods, checks and outputs to the assignment in front of us.
← Back to ServicesA good project is not only one that finishes. It is one where the route from question to evidence can still be explained at the end.
MFRS connects research planning, field operations, quality control, data and reporting so that each stage supports the next rather than becoming a separate activity.