InstantSurvey reporting options
InstantSurvey offers a large variety of reporting options, enabling users to analyze data and construct reports that deliver actionable intelligence in appealing real-time formats. Some reporting options are standard with InstantSurvey Basic, while some can be custom-built with InstantSurvey Professional. All of them can be seen below.
Bar charts provide a presentation-quality view into your real-time data question by question. They provide the total number of responses for each response option as well as a percentage breakdown. Within InstantSurvey, you can also click on any bar chart response option, and immediately filter your entire dataset and report by that response, only showing respondents who chose that option within that particular question. You can also run repeated filtering across multiple questions.
Pie charts are similar to bar charts in that they provide an appealing, real-time view of your data with number and percentage breakdowns. They also offer the same instant filtering capabilities as bar charts.
When you have open-text response options within your survey, you can then view the written data collected either embedded entirely into your reports or through a View Text button that pops up a viewing window, such as the one above.
InstantSurvey also offers a different report viewing option (individual reports) that allows you to view and sift through online reports of your data one respondent at a time. You can view all your responses or establish datasets that narrow your focus before moving through individual reports.
Top/bottom-box reports allow you to view the two different extremes of your data against each other. This is best used in any type of scaled or ranking question. It provides you with the total number and percentage of responses from the two highest response options in contrast to the total number and percentage of responses from the two lowest response options.
In the example above, respondents were asked how important they thought it was that their phone contains Google Maps capabilities. From the data, you can see that 2,172 respondents considered it incredibly important or somewhat important (promoters) against only 771 believing it was not at all important or not very important (demoters). It is a very common approach to analyze the top two responses together and the bottom two responses together in any rating, importance or ranking type questions.
Cross-tabulations with Chi Square test evaluations
Cross-tabulations provide a comparison analysis within your data. They allow you to see how respondents answered one question compared to how they answered across another. They provide percentage values either by response from either question, or from all responses combined. With cross-tabulations, you can identify any trends or correlations in your data and view how different segments may view things differently.
As you can see in the chart above, members of the younger age group (18- to 25- year olds) were more likely to choose David Beckham as the best representative for the iPhone than those older. 9% of respondents between that ages of 18 and 25 thought David Beckham was the best option, while only 6.4% of 26- to 35-year olds did, 5.8% of 36- to 45-year olds did, 5.2% of 46- to 55-year olds did and no one 56 or up did. This makes sense as David Beckham is a much more well-known and popular celebrity in younger demographics.
The Chi Square tests help you evaluate whether the sample size and amount of responses are significant enough to draw any conclusions in evaluating potential data correlations. Read more on the different Chi Square tests provided at http://en.wikipedia.org/wiki/Chi_square_test.
Means tables are very similar to cross-tabulations for the exception that instead of percentages, they provide average scores. Means tables are best used with scoring, ranking or scaling questions to provide an average score for a particular response option.
In the example above (where 5 = most important and 1 = not at all important), you can see that the average score for Web access showed that respondents on average felt that web access is the most important item for cell phones to have. This importance was even higher in 18- to 35-year-olds.
Banner tables are a more basic version of cross-tabulations and means tables whereby they simply show the basic count numbers rather than the percentages and/or the averages. They simply provide an accumulated view of your data across multiple questions. These types of numbers can be seen in the example above with data across various respondent countries.
Constant Sum Reports
Constant sum reports provide you with a summarized view of the responses from any constant sum question format. Constant sum questions offer respondents a list of options for evaluation and ask them to provide appropriate value representations for each of those options, with all the value representations totaling up to a specified total. The constant sum report then relays the minimum and maximum values entered by any respondent for each of those options and then further provides the average value across all respondents.
In the example above we can see that "Tropical/beach" destinations are by far the most popular as respondents traveled to such destinations a higher percentage of the time than any other destination type on average and the minimum and maximum percentage responses also outpaced any other destination types by quite a bit.
You can utilize text, images and videos within your reports however and wherever it is needed. Most commonly this functionality is used to explain an upcoming series of questions or to offer up analysis on particular data or to provide details on the project methodology. However, you can use these image/text/video blocks in any way you would like and incorporate them within your custom report in any way you like whether its to add aesthetic appeal to the survey or simply throw in pictures of your family. The versatility of our custom, presentation-quality reporting dashboards leaves it all up to you.