Custom Quotas: FAQs

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 a custom quota 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.

What is the difference between interlocked and non-interlocked quotas? 

Interlocked quotas refer to quotas that are defined by more than one metric (ex: gender and region), meaning that these metrics are interlocked. 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 these quotas are simpler than interlocked quotas, but give less control over a study’s sample composition. Non-interlocked quotas 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%