How do I exclude a group from a quota? Example, a user only wants females, by age quota, in my survey.
To exclude a group from a quota, input a 0% next to grouping. This will exclude this group from the survey sample. For example, if a user only wants females in their survey, all quotas with ‘male or masculine’ should have 0%. Please note- if a quota is excluded from the study (has a 0%) you cannot add this group after the survey has gone live.
Can I modify quotas once my survey is live?
Yes! Click the ‘Edit’ button on the survey details page. From there you can edit your quotas. Please note- you cannot add any quotas to an existing survey- you can only modify existing quotas. If you put 0% in for a quota, you cannot change/add that quota when editing. You can also remove your quotas altogether if necessary- this will not trim any existing respondents and the remainder of your responses will be based on natural fall out.
What is the difference between interlocked and non-interlocked quotas?
Interlocked quotas are defined by more than one metric (ex: gender and region), meaning the respondent has to qualify for both demographics in order to fill that quota. Interlocked quotas give greater control over a study’s sample composition, but normally take longer to fill.
Non-interlocked quotas refer to quotas where metrics are separated, meaning the respondent only has to meet one metric to fill that quota (ex: age). Non-interlocked quotas give less control over a study’s sample composition but tend to fill faster than interlocked quotas.
To better understand the difference between interlocked and non-interlocked quotas, look at the example below.
Age + Region Quotas |
|||
Interlocked |
Non-Interlocked |
||
Quota |
% |
Quota |
% |
15-24, Midwest |
6.5% |
15-24 |
25% |
15-24, Northeast |
6.5% |
25-34 |
25% |
15-24, South |
6.5% |
35-54 |
25% |
15-24, West |
6.5% |
55+ |
25% |
25-34, Midwest |
6.5% |
TOTAL |
100% |
25-34, Northeast |
6.5% |
||
25-34, South |
6.5% |
Midest |
25% |
25-34, West |
6.5% |
Northeast |
25% |
35-54, Midwest |
6% |
South |
25% |
35-54, Northeast |
6% |
West |
25% |
35-54, South |
6% |
TOTAL |
100% |
35-54, West |
6% |
||
55+, Midwest |
6% |
||
55+, Northeast |
6% |
||
55+, South |
6% |
||
55+, West |
6% |
||
TOTAL |
100% |