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You can view survey results at any time. Survey results take on an entirely new dimension with the intuitive and feature-rich capabilities of SurveyGold. Find out how to drill-down for details. Learn how easy it is to segment survey results based on any responses given. The results viewer helps you find out quickly what your respondents are thinking.
The View Results tab provides access to survey results. The initial view of the survey results is a very broad view. From this point you can get progressively more and more detail as you select questions and view responses.
From the View Results tab you initially see the high-level details for your survey. This include the number of respondents, response date ranges and survey description are visible for the currently selected survey.
You may select a question to view in one of several ways in the
results viewer. The method you choose depends upon which screen is currently displayed.
| Step 1
- The first way to select a question is
from the View Results tab. Once you have selected a section (a described in step 2 above),
simply click a question in the Select a Question prompt. Then click the
View Results button. This displays the results for the selected question.
The example to the left shows the results of clicking View Results after selecting the "Gender" question.
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Once the responses to a question are displayed, you may click on the Next Question button to view the responses to the next survey question. Conversely, if you are viewing a question other than the first question in the survey, you may click on the Previous Question button to view the responses to the previous question.
| Note: The Previous Question and Next Question buttons navigate to questions with no regard to section breaks. In other words, if the question you are viewing is the last question in a section, clicking Next Question takes you to the first question of the next section. |
| Step 1 - Hold down the mouse button on the slider. Then move the slider handle left or right. As you do so, each question in the survey is displayed in order in a small window just above the slider. | ||
Step 2 -
Move the slider until the question you want to see is displayed in the small window. Then
release the mouse button to display the question results. In the example to the left,
releasing the mouse when the "Q3 - How many employees are at your location?"
question is displayed in the small window causes the results for that question to display.
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This section describes how to view responses to your questions.
Survey results are displayed in one of two ways: as a graph or as a list.
Graph Results - Questions with choices are displayed in a graphical format. Although SurveyGold automatically displays results in a pie graph, you may change the graph type to any of the following chart types:
Responses are grouped into graphical summaries. For example, a bar or pie slice represents a particular set of responses.
| Step 1 - To change the graph type, simply right-click anywhere in the window. A menu will display. Select "Change Graph Properties..." from the menu to change the graph type of the current question. | ||
| Step 2
- Click on the desired graph type. Click the OK button. Your results for this question are now displayed in the new graph type. SurveyGold will always display results for this question using this type of graph until you specify otherwise. In other words, your formatting preferences are retained even after you leave and return to SurveyGold at a later time. In addition to changing the graph type, you can change other graph properties including the bar spacing, 3D orientation, data label font size, and legend placement and font size.
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List Results - Questions with no choices are displayed in a tabular list.
| Each response is displayed on a separate detail line in the list. |
Any question response that has comments associated with it include a note (the paper clip and a yellow scrap of paper).
| Step 1 - To view the comments, simply position your mouse pointer over the note. (Do not click on the note.) The comments will popup in a small window until you move the mouse away from the note. | |
| Step 2 - If you would like to see all of the comments provided by the respondents, simply right-click anywhere in the window. A menu will display. Select "Display All Notes" from the menu to print the current survey response. | |
| Step 3 - The response list will be replaced with a list of all responses. The example to the left has only one comment. However, had multiple respondents provided comments, all comments made would be shown in this list. Responses without comments simply show up in this list as a dot followed by a blank line. | |
| Step 4 - To return to the list of responses, simply right-click anywhere. From the menu, select the checked menu item "View All Notes". This causes the list of responses to that question to redisplay. |
While graphs and lists provide a nice high-level view of responses, SurveyGold drills down to lower-level detail by simply clicking on a response.
| Step 1
- To see a list of respondents who provided a particular response to a question,
click on
the graph item (e.g., pie slice, bar, etc.) or list item. This displays a list of
respondents who provided that response. The example to the left shows the results of clicking on the "Female" pie slice in the "Gender" question. |
| Note: If known respondents are used in a survey, this list includes company name and telephone detail. |
| Note: To return to the response summary level, simply click the Go Back button in the tool bar. |
The lowest level of survey response detail is accessed by clicking on a respondent in the previous list.
| Step 1 - Click on a respondent to see the respondent's entire complete survey. This may printed out for further evaluation or for use in follow-up contacts with the respondent. |
| Note: If known respondents are used in a survey, the respondent questionnaire includes complete company and contact information. In the above example, an anonymous respondent is selected. So no company or contact information is provided. |
| Note: To return to the response summary level, simply click the GO BACK button in the tool bar. |
The results viewer provides some very powerful data manipulation capabilities by simply right-clicking on the response summary item (e.g., pie slice, bar, line, etc.) of any question. This causes all other question responses to be viewed through a filter of responses.
In other words, if you want to view the responses of a
subset of respondents (e.g., females of a certain age group who work for a certain sized
company) you can do it easily by right-clicking on those responses.
This feature is best describe by example. In the following example, which is described in this section and the following two sections, we will see how to view only the responses provided by females whose age is 26-35.
| Note: This example only includes two filter criteria (age and gender). There is no limit to the number of filters you can apply. Also, you can filter on any response to any question. This provides the framework for very powerful survey response analysis. |
Step 1 - Select the female respondents by viewing the responses to the "Gender" question. Then right-click on the "Female" response item. In the example to the left, the "Female" pie slice is right-clicked on. This displays a menu. Select "View Only 'Female' Survey Results".
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Step 2 - The result of this action is that the Gender question responses are limited to only the female respondents. Note that the number of responses (shown in the lower left corner) was reduced from 10 to 6 after the female filter was applied. Note also the small red text at the bottom of the response screen denoting the filter that is currently applied. It denotes the filter as the question number (abbreviated as Q1, the first question) followed by the response to that question. |
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Step 3 - To view the affect of your filter, click on the Previous Question button to see the age of the females that responded. Note that this analysis is possible because the filter is still active. You can tell the filter is still active because of the small red text at the bottom of the response screen. |
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Step 4 - (Optional) the Analyze Results using Filter View button appears in the lower right-hand corner whenever a filter is applied. Click this button to take this subset of survey response data directly into the Analyze Results. This provides you the ability to produce specialized reports or convert response data to other formats based on just this subset of your survey results. |
| Note: You can remove a filter at any time from any question. First, simply right-click anywhere on the window. Then clicking on the checked filter that you want to remove. |
It is important to note that one or more filters may be applied to the results viewer. As each filter is applied, the number of responses is further reduced. This can help you pinpoint a group of respondents for follow-up contact or further analysis.
Next we will further limit responses by appending a second filter to our first one. In this example our second filter is "Age" responses "18-25".
| Step 1 - Select the age 18-25 respondents by viewing the responses to the "Age" question. Then right-click on the "18-25" response item. In the example to the left, the "18-25" pie slice is right-clicked upon which displays a popup menu. Select "View Only '18-25' Survey Results". | |
| Step 2 - The result of this action is that the Age question responses are limited to only the female respondents whose age is 18-25. Note that the number of responses (shown in the lower left corner) dropped from 6 to 2 after the age filter was appended to the female filter. Note also the small red text at the bottom of the response screen denoting the filter that is currently applied. It denotes the filter as each question number (abbreviated as Q1, the first question; Q2, the second question and so on) followed by the response to each question. | |
Step 3 - (Optional) the Analyze Results using Filter View button appears in the lower right-hand corner whenever a filter is applied. Click this button to take this subset of survey response data directly into the Analyze Results. This provides you the ability to produce specialized reports or convert response data to other formats based on just this subset of your survey results. |
While you are viewing a filtered set of survey results, you can have SurveyGold memorize the filter for later use. The value to this feature is that provides quick and easy access to filters that you routinely apply when viewing you survey results. It also sets the stage for viewing results in multiple series, which will be covered in few topics from now.
In this example we will memorized the filter for female respondents with an age of 18-25 years old.
Step 1 - While the filter is applied, right-click anywhere and select "Memorize Current Filter" Step 2 - When the Memorize Current Filter window appears, it prompts you for a name for the filter. Each memorized filter name must be unique within a survey. So, SurveyGold automatically creates a filter name for you that is based on the current filter. You can either accept the name the SurveyGold creates, or you can change it to a name that is more to your liking. In our example, we will change the name from "Q2 Female, Q1 18-25" to "Females 18-25".
Step 3 - Click "OK". The result of this action is that a memorized filter is created for the current survey based on the currently applied filter. This memorized filter can be quickly and easily applied any time in the future as per the instructions in the next topic.
You can apply a memorized filter when viewing your survey results at any time that a filter is not currently applied. The value to this feature is that provides quick and easy access to filters that you routinely apply when viewing you survey results.
Step 1 - While viewing any question of your survey results and while no filter is applied, right-click anywhere and select "Apply Memorized Filter" Step 2 - When the Memorize Current Filter window appears, select the memorized filter you want to apply and click OK. In our example, we will select "Females 18-25" memorized filter.
Step 3 - The result of this action is that the viewable responses are limited to only the female respondents whose age is 18-25. Note that the number of responses (shown in the lower left corner) dropped from 6 to 2 after the age filter was appended to the female filter. Note also the small red text at the bottom of the response screen denoting the filter that is currently applied. It denotes the filter as each question number (abbreviated as Q1, the first question; Q2, the second question and so on) followed by the response to each question.
Step 4 - (Optional) the Analyze Results using Filter View button appears in the lower right-hand corner whenever a filter is applied. Click this button to take this subset of survey response data directly into the Analyze Results. This provides you the ability to produce specialized reports based or convert response data to other formats on just this subset of your survey results.
SurveyGold provides the ability to remove a memorized filter if you so desire.
Step 1 - While viewing any question of your survey results and whether or not a filter is applied, right-click anywhere and select "Remove Memorized Filter". Step 2 - When the Remove Current Filter window appears, it displays all of the memorized filter for the survey that you are currently viewing. Select the memorized filter to remove and click the Remove button to complete the action. In our example, we will remove the memorized filter "Females 18-25".
This powerful feature leverages the memorized filter feature of View Results by providing the ability to display multiple sets of responses (side-by-side in multiple graph series) for the survey results you are viewing. The value of this feature is that it provides the ability to show trends of previous period to current period, comparisons of demographic groups, etc.
This feature supports the following business scenarios:
A survey is either conducted periodically on an ongoing basis
A survey is conducted whereby one or more subsets of survey respondents need to be compared
The results of these types of surveys are often measured against another “baseline” set of results. The baseline is typically a subset of responses to the survey that are used as a basis for comparison of current results. The subset of responses may be from a prior period (e.g., prior quarter, year to date, last year, etc.) or may be from a segment of the respondent population based on a demographic trait (e.g., business unit or division, job grade, tenure, etc.) or a response to a particular question…or a combination of period, demographic or question response.
Examples of this type of survey include:
Continuous improvement surveys such as Total Quality Management (TQM) or Six Sigma.
Customer satisfaction or quality of service surveys.
Mandated compliance surveys (e.g., “No Child Left Behind” educational compliance)
Program funding justification surveys that show before/after results
Note: You must have at least two memorized filters for your survey in order for this feature to be enabled while viewing your survey results. Also, it is possible to display any number of series, limited only by your imagination and your practical business need. The following example shows how to create a comparison of female and male respondents. It assumes that you have already created two memorized filters, one for male respondents and one for female respondents.
Step 1 - While viewing any question of your survey results and when a filter is not applied, right-click anywhere and select "View Series using Memorized Filter".
Step 2 - When the Create Series using Memorized Filter window appears, it displays all of the memorized filter for the survey that you are currently viewing. Select two or more memorized filters to display and click the OK button to complete the action.In our example, we will apply the memorized filters "Female" and "Male".
Step 3 - The result of this action is that the previously displayed graph now has a legend item for each series.In our example, the series "Female" and "Male" appear in the legend.
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Step 4 - As you can see from the example, the pie graph rendering of multiple series is a bit confusing. Simply said, multiple series are best presented in a bar or column graph. To change the graph type to one of these types, right-click anywhere and select Change Graph Properties.
Then select a column or bar chart type and click OK.
In our example, the 3D column chart type is selected.
Step 5 - The result of this action is a chart depicting the survey results in multiple series. While the multiple series is enabled, navigating to the other questions in the survey causes the responses to those questions to also be displayed with multiple series.
Note: To stop the multiple series from being displayed, simply right-click and select "View Series using Memorized Filters".
Step 6 - (Optional) the Analyze Results using Series View button appears in the lower right-hand corner whenever multiple series are displayed. Click this button to take this subset of survey response data directly into the Analyze Results. This provides you the ability to produce specialized reports based on just this subset and series of your survey results.
When viewing a graph, when the mouse moves over a particular graph segment the enumeration value of that response is displayed . The enumeration value is the position of a response in the set of choices for a particular question. This value is used to determine the average response for the question.
To understand the concept of enumeration, consider the following question:
Please select your favorite flavor of ice cream.
( ) Chocolate
( ) Vanilla
( ) StrawberryIn this question, the choice "Chocolate" has an enumeration value of 1, because it is the first choice in the set. "Vanilla" has an enumeration value of 2, because it is the second choice in the set. "Strawberry" has an enumeration value of 3 because it is the third choice in the set.
When viewing a graph for a non-ranking question, the mathematical average of the enumeration values (commonly referred to as the "mean") can be displayed in the lower right-hand side of the graph aside the label "Average Choice" by right-clicking a selecting "Display Computed Average". This value represents the average response for the question based on the respondents in the current view. If you prefer to not see this average, simply right-click and select "Display Computed Average".
Now that the desired gender/age filter is applied to our results, we can view all of the survey results through that filter. In other words, the only results displayed in the viewer are those of females of age 18-25.
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Step 1 - Use the slider to quickly navigate to any question that interests you. Here is an example of the filtered survey results. |
You may print anything displayed in the results viewer.
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Step 1 - When a graph or list is displayed in the viewer, simply right-click anywhere in the window. A menu will display. Select "Print" from the menu to print the graph. |
| Note: You may print any level of results detail, not just the high-level detail as portrayed here. To do so, simply follow the directions as described above. |
You may save anything displayed in the results viewer to a file. The file formats are many the type of file format you select depends on what you want to do with the set of responses you are viewing.
| Note: This feature saves only the displayed responses to a file. If you want to save the entire set of survey responses for all questions to a file, that feature is enabled from the Analyze Results tab using the action "Convert Responses". |
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Step 1 - When a graph or list is displayed in the viewer, simply right-click anywhere in the window. A menu will display. Select "Save As..." from the menu to save the current survey response in a file. |
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Step 2 - When the "Save As" window appears, locate the "Save as type" field. There are many file formats to choose from. For example, to create a text file, click the down arrow and select "Text with headers". To create an Excel file, click the down arrow and select "Excel with headers". |
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Step 3 - Enter a name for the file you want to create in the "File name" field. |
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Step 4 - Click "Save". SurveyGold then creates your displayed responses in the file format you specified. |
Note: Here are a few of the many file types supported and along with their possible uses:
File Type Format Usage CSV Comma-separated values Suitable for merging into word processors CSV with headers Comma-separated values Like CSV except that it contains column headings Dbase2 dBase2 Suitable for use with dBase 2 Dbase3 dBase3 Suitable for use with dBase 3 DIF Data Interchange Format Useful for importing into other software products Excel Excel Suitable for Microsoft Excel™-compatible spreadsheets Excel with headers Excel Like Excel except that it contains column headings HTML Hypertext Markup Language Suitable for viewing with a web browser Text Tab-separated values Suitable for merging into word processors Text with headers Tab-separated values Like Text except that it contains column headings WKS Lotus Suitable for Lotus™ compatible spreadsheets WKS with headers Lotus Like Lotus except that it contains column headings Windows Metafile Graphical image Suitable for including in a web page, word processing document, or other publishing software. Also suitable for use with image editing software. XML Extensible Markup Language Suitable for including in a web page, word processing document, or other publishing software. XSL-FO Extensible Stylesheet Language Formatting Objects An XML-based markup language describing the formatting of XML data for output to screen, paper or other media.
Continue on to the next section: Analyze Results
SurveyGold
is a trademark
of Golden Hills Software, Inc.
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