Simplisyt offers an intuitive and powerful survey builder that anyone can use. Whether you wish to create a simple survey form or a complex nested questionnaire with advanced rules and quotas in multiple languages - Simplisyt let's you create surveys exactly the way you desire.
Everything You Need to Create Smarter Surveys
Easy-to-Use
Questionnaire Builder
Over 30+
Question Types
Logic & Custom
Branching
Multilingual
Support
Quotas and
Targeting Filters
Real-Time Preview
and Testing
Data Security and
Privacy Compliant
Integration with Simplisyt
Enterprise Solution
FAQs
Simplisyt’s survey creation tool features an intuitive drag-and-drop interface, pre-built question types (MCQs, scales, ratings, open-ends), and ready templates. You can quickly design surveys without coding, preview them in real time, and tailor layouts for mobile and desktop — making setup fast even for non-technical users.
Yes — Simplisyt supports advanced logic, including skip logic, branching, piping, display conditions, and validation rules. These tools help you tailor question paths based on respondent answers, ensuring a smooth and relevant experience for participants.
You can target surveys using audience filters and segmentation such as demographics, behavior, roles, industries, and custom tags. Simplisyt also integrates with your community panels and external sources so surveys are sent only to participants who match your criteria, improving relevance and response quality.
Survey data in Simplisyt is protected with industry-standard security measures, including data encryption in transit and at rest, and secure storage. Administrators can manage permissions and maintain compliance with privacy regulations like GDPR, ensuring participant and research data stay safe.
Quotas let you control how many respondents you need from specific segments (e.g., age groups or roles). Targeting filters automatically route the survey only to participants who meet your criteria. Together, they ensure balanced samples and help you hit research targets without oversampling or bias.