Use Case: Analyzing respondent-level open-ended responses

by Phil A.

This use case examines how to set up your analysis in Advanced Exploration if you want to review open-ended responses that you have collected with your iPerceptions project, as well as include additional context to these responses using other variables that you are collecting with your iPerceptions project. 

Some common examples that this use case can be used for include:

  • Reasons for Failed Task Completion
  • Most Positive Aspects of Website Visit
  • What to Add to the Website


For this use case, we'll address the following request: 


I want to view what my visitors want to see added to my website.


Step 1: Select the open-ended question you want to analyze

Find the open-ended question that you would like to analyze (Dimension) and drag it to the “Text” option provided in the Marks card.  For this use case, use the "What to Add" variable: 


Step 2: Organize the open-ended responses to perform respondent-level analysis

Completing Step 1 shows all of the open-ended feedback collected for this question, but it is not yet organized in a way that would allow for respondent-level analysis.  To enable this type of analysis, select the “Resp ID” variable from the Dimensions menu and add it as a Row:


Step 3: Focus your analysis only on those who provided open-ended responses

Open-ended questions are optional in iPerceptions surveys.  As such, blanks may be seen in the output after completing Step 2.  To focus your analysis only on those who provided a response to the open-ended question, drag the open-ended question from the Dimensions menu to the Filters card, and unselect the “Null” option in the menu that appears to the right of the Worksheet.



Step 4: Add any additional desired context to be included in the analysis (optional)

Now that the open-ended feedback has been organized to enable respondent-level analysis, select any other desired context to be included in your analysis from the Dimensions and Measures menus, and add them as a Row.

For the example below, we selected the “Purpose of Visit” and “Role Within Company” variables from the Dimensions menu, and added them as Rows to the right of the “Resp ID” variable:


Step 5: Specify your time period

By default, the crosstabs that you create show data for all respondents that completed your survey in the last 3 years.  To focus your analysis on a specific time period, bring the "Time_RespEnd" variable (Dimension) into the Filters card.


Additional Use Cases

Aggregate Analysis

Cross-Tabbing 2 Dimensions

Cross-Tabbing 1 Dimension And 1 Measure

Analyzing Data For Multi-Select Questions

Analyzing Close-Ended Data In Map Format


Trended Analysis

Trending A Dimension Over Time

Trending A Measure Over Time

Trending A Crosstab Of 2 Dimensions Over Time

Trending A Crosstab Of 1 Measure And 1 Dimension Over Time

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