Research Study Setup
Feasibility, sampling, questionnaires and field protocols.
The problem we solve
A study design is approved, but the operational detail is undecided. Sampling frames are incomplete, instruments are untested, and no one has costed what fieldwork will actually require.
Scope — what is included
- Study feasibility assessment against timeline, geography and budget
- Sampling-frame development from administrative or listing data
- Questionnaire design, translation review and piloting
- Operational planning: team structure, routing, training and schedule
Methodology
- Stratified sampling
- Cluster sampling
- Cognitive interviews
- Instrument piloting
- Documented study protocols
Deliverables
- Feasibility report with assumptions stated
- Sampling files and replicable selection code
- Final questionnaire with pilot revisions logged
- Field protocol document
- Implementation plan and timeline
What we need from you
Research decisions stay with your team. To deliver this work we need you to:
- Approve the research design, sampling strategy and instrument content
- Provide the frame source or administrative data where available
- Confirm ethics approval status before fieldwork planning is finalised
Illustrative workflow
A synthetic example, included to show how the work runs. It is not a past engagement and does not describe a real client.
A university team plans a two-district baseline across government schools and needs an executable plan before the academic term begins.
- 1Review the protocol and confirm what the design requires operationally
- 2Build the sampling frame from district school records and flag gaps
- 3Draft and cognitively test the instrument with a small pilot group
- 4Cost the fieldwork and return a dated implementation plan
Other services
- Field Research & AssessmentsStructured surveys, school assessments and field operations.
- RCT & Longitudinal OperationsProtecting experimental protocols from assignment to follow-up.
- Digital Survey SystemsReliable digital instruments designed for complex research.
- Data Quality & ManagementFrom raw submissions to verified, reproducible datasets.
- Monitoring & Evaluation SupportUnderstanding programme implementation and research outcomes.