Representativity revolves around the panel’s composition. Does it accurately mirror the general population’s makeup, allowing you to pinpoint the precise target group for your data needs? In Norstat, we meticulously monitor an array of variables, from fundamental demographics like age, gender, and location to more specialized attributes like family situation and income. This proactive approach empowers us to target specific, underrepresented groups during recruitment, ensuring that your desired demographics are always well-represented in our panel.

Reliability hinges on the authenticity of our panel members. Are they genuine individuals, or are they bots or users with multiple accounts? We’ve made substantial investments in quality controls to verify each panel member’s identity rigorously. This commitment helps us weed out fraudulent or duplicate members, ensuring they don’t taint your data samples.

Truthfulness centers on the panel members’ survey responses. Do they provide genuine, thoughtful answers that reflect their personal opinions? To gauge truthfulness, we employ various metrics within our surveys. Suspicious responses trigger manual control, allowing us to maintain the integrity of your data by removing any inconsistencies or untruthful data points.

Capacity relates to the panel’s size and activity. Do we have a sufficiently large and engaged pool of members who actively participate in studies, ensuring a unique sample for each survey? We keep a vigilant eye on the number of survey invitations each member receives, their response rates, and other vital metrics. This commitment guarantees that your sample is always distinctive and dependable.