Our survey list and homepage page are being combined and getting a makeover.
Verification (or Completely Automated Public Turing Test to tell Computers and Humans Apart) is a common web technique used to help ensure that your respondents are real humans and not a program written to spam your survey.
Auto-tagging is a process of applying tags to open answers based on keywords, in near real-time. We all know that open answers hold gems that lead to insight. Manual tagging can be slow, especially for large volumes. Auto-tagging can do the heavy lifting for you, so that you can spend time turning those insights into action!
You can use display logic to create surveys that are customized to each respondent.
This was already possible at the page level and now you can go much further. When a specific question, sub-question or answer choice pertains only to certain respondents, you can hide it conditionally, based on previous answers or metadata. Through this low level display logic, you can create surveys that dynamically adapt to your respondents’ answers and custom fields.
What is it?
We are introducing a powerful scripting language to enhance your surveys and reports called the CheckMarket Scripting Language or CSL for short.
At its most basic level, it is easy to use. You can use it to place variables in your surveys and reports by selecting them from a drop-down.
At its most advanced, our scripting language gives you tremendous freedom to use complex logic to make calculations, show or hide certain blocks of texts or images and much more. So put on your computational thinking cap and let’s dig in…
We have added the ability to pre-populate an answer to a survey question through the URL or setting a default answer which can be meta-data, random selections, variables, and fixed values.
We have added the ability to assign point values to answer options. You can use this to create quizzes and assessments, but there are a lot of other uses in surveys too!
You know that feeling when you already looked at your data from all angles? You separated it based on gender, age, socioeconomic status and even location, but you still think there is more to discover? Factor and cluster analysis help you discover patterns in your dataset that go beyond simply splitting it up according to demographics, and in this blogpost we will explain how to best use both of them.
Employee surveys are key tools for any business. They can measure the mood in a company, allow employees to give input and see how an employer is doing on certain issues.
To make employee surveys work, however, you need a sufficient amount of employees filling them in. Having high degrees of non-response can cause your survey to be less reliable and can cause biases to arise.