Partner standards
We work with sample and panel partners selected for their track record and expect appropriate controls within the partner network.
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Quality assurance
Quality is considered throughout the research journey.
Respondent quality is not a single check or blanket guarantee. It is a set of controls and monitoring practices considered in relation to each study and its delivery environment.
Project-level controls
Practical checks that support better fieldwork
Appropriate checks depend on the audience, targeting, survey setup and partner environment. The following are areas considered where applicable.
Geo-location signals
Location signals can help identify responses that do not align with the study's geographic targeting requirements.
IP-based checks
IP-related signals may support the identification of duplicate or inconsistent activity, where applicable.
Duplicate prevention
Measures may be applied to help reduce duplicate entries within an individual study.
Targeting and eligibility
Screening logic supports the eligibility criteria and audience definitions agreed for each project.
Fieldwork monitoring
Progress, completion patterns and targeting signals can be reviewed while a study is live.
Quality with context
Better-fit respondents, not volume for its own sake.
Our focus is on sourcing respondents who align with a study's requirements and applying appropriate controls as fieldwork progresses. Specific controls and availability are confirmed during project scoping.
Quality is a shared process
Clear targeting, suitable partner controls, project monitoring and open communication all contribute to a well-managed fieldwork process.