Introducing the Anonymous data collection feature, the benefits of which include:
- Honest and more accurate responses from the respondents.
- Increased participation rates
- Protection of vulnerable populations
- Compliance with regulations
This feature is accessible on the survey settings page under the Make it Anonymous section, where users can turn it on to make data collection anonymous.
This revolutionary tool helps protect our users from malicious bots and automated activity.
With our bot prevention feature, you can now be sure that your survey results are only coming from real people. This means that your survey data will be more reliable and accurate, allowing you to make better decisions based on it.
Bot Detection can be enabled under General in the Survey Settings.
This performance optimization is designed to help you get the most out of your BlockSurvey experience.
This optimization will drastically reduce the time needed to load a screen, making the overall experience faster, more efficient, and more enjoyable.
This new feature allows users to easily translate their surveys into different languages, making it easier than ever to reach a global audience.
With this new feature, you’ll be able to:
• Easily translate surveys into multiple languages.
• Preview the translated surveys before sending them.
• Save time and resources by reducing manual translation.
This feature is accessible in the survey settings page under the languages section, where users can select the language they want to translate their survey into.
We are excited to announce a new feature in BlockSurvey - Display Logic.
Display logic is a type of survey logic that allows you to display a question based on how the respondent's are answering the previous question. With display logic, you can hide a certain question from the survey until the respondent’s answer the previous question in a certain way.
It ensures that respondents only see and answer questions that are relevant to them, and display logic can help to improve the quality and relevance of the data collected.