Smarter Sampling with Quotas
Yasna’s Quotas feature lets you define and manage subgroups within your audience — so your research reflects the structure you actually need.

Similar cases:
What is quantitative market research in marketing?Understanding Research MethodologiesGood research starts with the right audience composition. But managing balanced samples manually often creates unnecessary complexity: overrepresented segments, extra filtering, and constant monitoring during fieldwork.
With Quotas, Yasna automates this process directly inside the interviewing flow — helping teams control participant distribution from the start and ensuring every subgroup is represented in the right proportion.

Design your audience with precision
Create as many subgroups as your study requires and define clear limits for each of them.
Whether you’re segmenting respondents by behavior, demographics, customer type, or market characteristics, Yasna automatically manages the distribution throughout the interviewing process.
With Quotas, you can:
Define audience subgroups using natural language.
Set participation limits for each segment.
Automatically stop interviews once a subgroup quota is reached.
This allows teams to maintain balanced samples without manual supervision or post-fieldwork cleanup.
No more overrepresented segments. No more spreadsheet tracking.Just cleaner data from the beginning.
Flexible criteria, built around your logic
Quota allocation can be configured using different types of criteria depending on the structure of your research.
Quotas can be based on:
Screener responses.
Demographic attributes such as age or gender.
Panel data and external participant information.
Yasna evaluates respondents in real time as they move through the screener and automatically assigns them to the correct subgroup.
The setup remains flexible while still giving researchers full control over sampling logic.
Intelligent qualification without extra effort
In some cases, not all information needed for quota assignment is available upfront.
To solve this, Yasna can dynamically ask follow-up questions during the interview flow to collect missing data and accurately place respondents into the correct subgroup.
For studies that require stricter control, key qualification criteria can also be defined directly inside the screener itself.
This creates a smoother experience both for researchers and participants while reducing the risk of incorrect allocation.
Built into your research workflow
Quotas are not limited to recruitment alone — they continue throughout the research process.
Once fieldwork begins:
Subgroups automatically appear inside reporting.
Insights can be analyzed by quota segment.
Segmentation is already structured for comparison and analysis.
This means teams are not only collecting balanced data, but can immediately work with it inside the platform.
No manual regrouping. No additional processing after interviews are completed.
Smarter audience control, fully automated
Quota management is now fully integrated into Yasna Interviewing with a new Quota Allocation feature.
From defining audience structure to automated enforcement and reporting segmentation, the entire workflow is handled inside a single system.
The result is faster fieldwork, cleaner samples, and more reliable analysis.
Explore Quotas in action — book a personal demo with Yasna.
Short description and benefits of the feature:
— Define audience subgroups and set quotas at the screener level-control who participates and in what proportion.
— Flexible quota criteria using natural language — based on screener answers, demographics or panel data.
— Automatic quota enforcement — interviews stop once a subgroup limit is reached.
— Intelligent follow-up questions — Yasna fills missing data to correctly assign respondents to quotas.
— Quota-based segmentation in reporting — subgroups are automatically available for analysis.
— Fully automated process — no manual tracking or post-fieldwork filtering required.
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