{"id":1109664,"date":"2026-08-30T23:54:16","date_gmt":"2026-08-31T06:54:16","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/?p=1109664"},"modified":"2026-08-31T00:03:54","modified_gmt":"2026-08-31T07:03:54","slug":"quota-management-dashboard-minimum-quota","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/quota-management-dashboard-minimum-quota\/","title":{"rendered":"Here’s how quota management can help you stop your survey from feeling like a game of whack-a-mole"},"content":{"rendered":"\n

\u2026and why it just became the calmest tab in your survey builder. With the new quota management, controlling sample splits, setting criteria-based logic, and protecting small segments no longer requires toggling across multiple screens.<\/em><\/p>\n\n\n\n\n\n

Picture a tracking study with six demographic screeners, three custom variables, and a client who wants a guaranteed minimum from every regional cell. You open one tab to check the response quota, another to check the custom variable quota, and a third spreadsheet to eyeball how the whole thing is actually filling. Every time you close one gap, two more segments quietly slip under target.<\/p>\n\n\n\n

By the time fieldwork ended, the biggest groups filled up fast, and the smaller ones limped in, because the old tools were only ever built to stop responses, not to guarantee them. This is where quota control<\/a> could have saved the day.<\/p>\n\n\n\n

What is quota management?<\/strong><\/h2>\n\n\n\n

Quota management is the dashboard inside QuestionPro’s survey builder that brings question-based and criteria-based quotas together in one place, with a live view of how each one is filling. It replaces the old habit of checking response quotas in one screen and custom variable quotas in another. Every quota now shows its type, group, handling rule, and target side by side, so you see the whole sample plan without exporting anything.<\/p>\n\n\n\n

How to use quota management in your research<\/strong><\/h2>\n\n\n\n

Say you are running a national brand tracker with a target of 50 percent women, 18- to 34-year-olds making up at least a fifth of the sample, and a region that keeps coming in thin every wave. Before, you would cap the fast-filling groups by hand and hope the slow ones caught up on their own, then export the data at the end of the week just to see how close you actually got. Now you set a question-based quota on gender, a criteria-based quota combining age and region with AND logic, and a minimum quota on the region that keeps lagging, expressed as a percentage of total responses rather than a bare count. A Second quota check re-validates availability partway through the survey, so respondents who started when a segment had room do not all land on it at once and blow past the target. The dashboard shows fill status live, as a count and a percentage, so you know by Wednesday whether the sample plan needs a nudge, not after the study closes and the client asks why one region only turned up nine responses.<\/p>\n\n\n\n

The advantages of quota management<\/strong><\/h2>\n\n\n\n

Quota management gives researchers a few things the old, split-up tools never could.<\/p>\n\n\n\n