Before you create a survey, collect data, and start to analyze it, it’s important to consider the best way to share online survey results with your audience. Whether you’re keeping respondents informed, reporting to management and other stakeholders, or you’re conducting research on behalf of a client, the best method for sharing survey results will depend on the audience and what they’re going to do with the information.
With an online survey you can set up email alerts for responses, create analysis and reports to share, or set up accounts for your audience to log in and see live survey information with tailored reports.
It’s all too easy to create a survey, collect responses, produce reports, and then move on to the next survey. But under the General Data Protection Regulation (GDPR), there’s a spotlight on how long personal data can be kept for.
GDPR and personal data
The GDPR mandates that data should be deleted or anonymized once it is no longer needed for the purpose for which it was collected. This means that when you complete a research project, you should assess how long you need to keep the personal data relating to it, and anonymize or delete that data at the end of that period.
GDPR compliant data retention considerations
To help you comply with the GDPR rules when you are undertaking a survey project, we’ve outlined these data retention considerations: Continue reading →
As part of the General Data Protection Regulation (GDPR), all organizations must have a documented, lawful basis for processing personal data.
If you decide to use consent as the basis for collecting and processing survey response data, you will need to provide potential respondents with the relevant information so that they can give informed consent before proceeding with a survey.
How to include a consent question in your survey
One of the simplest ways to obtain a respondent’s informed consent to collect and process their personal data is by including a specific question at the start of a survey. There are a few things to consider when adding a consent question to your survey: Continue reading →
Learn how to anonymize data after your survey has been completed
This method may be particularly useful when you want to work with your survey data, but not in a manner which identifies your respondents.
Snap Survey Software stores respondent data in a file with the survey name and extension .rdf (respondent data file), and replies for each respondent are held in individual records in that file. When you delete the variable that holds the personal information from the survey file (.mdf), the details remain in the data file. It is possible to remove the personal data entirely.
We’ve create a helpful worksheet to walk you through the following steps: Continue reading →
Learn how to anonymize survey respondent data, but successfully track completion
We’ve create a helpful worksheet to get you started. We’ll walk you through the steps to upload your respondent database to Snap WebHost. From there, you’ll be able to send an email invitation that includes a unique respondent identifier.
You will be unable to match the survey responses to a given respondent. You can, however, track whether a given respondent has responded and if not, send them reminder emails.
This worksheet is part of our GDPR (General Data Protection Regulation) series of worksheets. The GDPR applies only to personal data. The obligations under the GDPR do not apply to anonymous data. We offer several options to anonymize your surveys, including the option to run anonymous surveys using Snap WebHost. Continue reading →
Give clients, colleagues, and key stakeholders 24/7 access to real-time and personalized survey results. You can set-up individual accounts and set permissions to view specific analysis and reports, and easily create new analysis on-the-fly.
View our helpful tutorial where you’ll learn how to:
Create an Analysis Associate account
Specify which surveys are available to view
Configure reports to the unique perspective of the viewer
View a helpful free webinar on how to transform and recategorize survey data with derived variables in Snap Survey Software
In this very informative webinar, knowledgeable Snap Survey Software trainers, Marc Ellison and Jay Arbelo, take a detailed look at derived variables – the key to transforming your survey data into meaningful analysis. You will learn how to use derived variables to recategorize and transform survey data into new variable types, for example: combine categories within a multiple-choice variable, and convert numeric, date & time, and literal data into categories.
This webinar covers:
Analyzing open questions & recording questions using a derived variable