Survey Superhero Articles

Analyzing Your Online Survey Data Results

This article is the third in a series of tips to help you get started with Zoomerang. In this article we focus on reporting and best practices for analyzing your survey data. View past tips on survey creation and survey sending. Zoomerang allows you to view your survey data results in graphical format online and in real-time. Getting answers with Zoomerang survey is as easy as 1 (create) – 2 (send) – 3 (analyze).

Zoomerang's automated, real-time survey data analysis reports are available at the click of a button:

• Overall survey data results (counts and percentages) for all completed interviews to all survey questions. This is the default analysis report displayed on the Results Overview page.
• Share your overall survey data online or via email.
• Compare survey data between groups of survey respondents with Cross Tabs. Understand how cross tabulation reports are calculated.
• Dig deeper into your survey data to analyze a subset of respondents with filtering.
• See how each survey respondent answered your survey.
• Exclude specific responses from your survey data.
• Check out our Demos and Tutorials: Zoomerang has a ton of great video demos and tutorials – check them all out here.

Best Practices:

• Trending over time: For satisfaction surveys, be they customer, product, employee, training or otherwise, it is helpful to see how the survey data and ratings change over time, month-to-month, quarter-to-quarter, etc. To effectively track these trends, you will need to ensure your survey question content and rating scales remain consistent over time. For example, overall satisfaction with Zoomerang quarter after quarter has ranged from 95% to 97%.
  
   
• If you want to generalize the survey data results to a larger group, check to see how well your survey respondents represent that group. If you know certain profiling information about the survey audience you were trying to reach, for example the percentage of males and females, check to see whether you have the percentages you were expecting.
  
   
• In creating a cross tab, the question that you believe changes or affects the responses to the other question, should be the column question. The question responses that are being affected or explained, should be the row question. For example, if you believe that gender affects likelihood of purchase, then gender should be selected as the column question.
  
   
• Save Time! Allow us to program, translate, and send your survey. We can even help you access your target audience for your survey.