Conduct Gap Analysis in Survey Software

What is Gap Analysis in Snap Survey Software?

Advanced survey software solutions provide the capabilities to conduct Gap Analysis. Gap Analysis shows the difference between how important attributes are to your survey respondents and how satisfied respondents are with those attributes. Gap Analysis is a useful way to compare the results from your satisfaction survey questions and importance survey questions, and allows for easy interpretation.

By comparing satisfaction and importance scores on your chart, you can use gap analysis to identify priorities for improvement.

Gap Analysis indicates that if the satisfaction bar is shorter than the importance bar, the company may be experiencing an issue! Below is an example of a Gap Analysis chart. Continue reading

The benefits of cross tabulation in survey analysis

What is cross tabulation?

When conducting survey analysis, cross tabulations (also referred to as cross-tabs) are a quantitative research method appropriate for analyzing the relationship between two or more variables. Cross tabulations provide a way of analyzing and comparing the results for one or more variables with the results of another (or others). The axes of the table may be specified as being just one variable or formed from a number of variables. The resulting table will have as many rows and columns as there are codes in the corresponding axis specification.

In many research reports, survey results are presented in aggregate only – meaning, the data tables are based on the entire group of survey respondents. Cross tabulations are simply data tables that present the results of the entire group of respondents as well as results from sub-groups of survey respondents. Cross tabulations enable you to examine relationships within the data that might not be readily apparent when analyzing total survey responses. Continue reading

Advanced Survey Statistics Available in Survey Software

Advanced survey software solutions, such as Snap Survey Software, include more robust and sophisticated analysis capabilities such as Significance Testing, t-Tests, and Confidence Intervals. Significance Testing provides a measure of how confident we are that the results obtained from the survey reflect the true pattern of responses in the population at large.

Below are some advanced statistical features. When searching for a survey software solution, these advanced analysis features should be available to you.  Continue reading