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Methodology

How we research

CoreMind runs projects on fit-for-purpose design, clean data, and actionable insight.

Design principles

We propose quant, qual, or mixed designs matched to the business question, agreeing sample, field, and analysis limits upfront.

Quality control

Interviewer/panel checks, logic validation, and low-quality filters aim for clean data.

Ethics

We honor privacy, consent, and anonymity, with extra guidance on sensitive topics.

FAQ

Which research methods do you offer?
Full-service quant (online, F2F, telephone, gang survey, HUT) and qual (FGD, IDI, ethnography).
Do you run overseas research?
Yes—intra-, outbound, and inbound scope via domestic and global partner networks.
How are results delivered?
Summary briefs, full reports, and workshop facilitation depending on goals.
How do you set sample size?
We propose sizes based on analysis units, error tolerance, budget, and field feasibility.
How do public insights differ from client work?
Insights/Open share publishable summaries; client detail stays under contract and NDA.
What helps before an inquiry?
Share the decision question, target, timeline, and any existing data to speed design proposals.