You know exactly who you need to hear from.
The right split by region. The right mix of customer segments. Enough responses from the group that always under-replies, without drowning them out with the group that always over-replies.
The sample plan is clear. It’s the execution that gets messy.
One tool caps a single question. Another handles custom variables. Neither talks to the other, and neither tells you, in the moment, whether the study is actually filling the way you planned it to.
By the time you find out a segment came up short, fieldwork is closed.
That’s the gap Quota Management closes.
What Is Quota Management?
Quota Management is QuestionPro’s central hub for setting and tracking every quota in a survey. It lets you manage question-based, criteria-based, and advanced grouped quotas all in one place.
Most quota tools were built to do one thing: stop collecting once a segment hits its ceiling. That’s useful for the group you’re worried about over-sampling. It does nothing for the group you’re worried about under-sampling.
Quota Management does both. Set a cap where you need one. Set a floor where you need one. Combine conditions across questions where a single answer option isn’t precise enough. And watch all of it fill, live, from one screen.
Stop Managing Sample Composition Across Tools That Don’t Talk to Each Other
Response quotas here. Custom variable quotas there. A researcher balancing demographics, screener answers, and behavioural variables ends up configuring and babysitting several disconnected features, with no single view of how the study is actually shaping up.
Quota Management brings everything together. You can view quota types, groups, rules, and target numbers on a single screen. For example, if you are running a brand tracking study, you can monitor responses from different age groups and locations without hopping between screens.
Capping a Segment and Guaranteeing One Are Not the Same Job
Traditional quotas stop collecting responses once a group is full. This prevents over-representation, but it does not help you reach smaller, slower-to-respond groups that need guaranteed representation.
Minimum quota changes that. Set a target by count or by percentage of total responses, per answer option, and the segment has to be filled, not just capped. Underrepresented groups stop being an afterthought in the final dataset.
Multi-Condition Targeting, Without Building Logic Around It
Reaching specific audiences, like urban smartphone users who prefer online shopping, used to require manual branching logic. Setting this up outside your quota tool took extra time and increased the risk of errors that could distort your sample.
Criteria-Based Quota handles this natively. Combine multiple questions, system variables, or geo-location filters with AND/OR logic, directly in the quota itself. For longer surveys, a second quota check re-validates availability later on, catching the over-quota situations that happen when a lot of respondents are mid-survey at once.
See Fill Status Live. Not After the Study Closes.
Without a central view, teams often realize a key group fell short only after data collection ends. For instance, you might discover too late that you did not get enough feedback from a key customer tier, leaving you to explain the missing data to stakeholders.
The Quota Management dashboard shows every quota’s fill status as a live count and percentage, updating automatically as responses come in or get deleted. Pacing decisions, closing decisions — they get made with real numbers, while the study is still running.
Built for Real-World Sample Plans
Research teams use this single dashboard to replace scattered setup steps. For example, when tracking quarterly satisfaction, you can give stakeholders immediate updates on response rates across regions without compiling data manually.
Customer experience teams use minimum quotas to ensure smaller account tiers get heard alongside high-volume accounts. At the same time, criteria-based quotas handle complex targets like region and product line without manual skip logic.
Agencies use the live dashboard to show progress to clients during fieldwork. Setting minimum quotas allows them to confidently guarantee specific subgroup numbers rather than just capping easy-to-reach audiences.
The Shift
The plan was never the hard part. You already know who you need in the sample and roughly how many of each.
The challenge was managing that plan across tools that only stopped collection, instead of guaranteeing minimums and giving clear, real-time updates.
Quota Management solves this issue. Set your target floors and ceilings, combine conditions, and track incoming responses in real time from a single screen. You will always have the exact numbers ready when team members ask for an update.
Get started today. Try Quota Management on QuestionPro →
