How to Use Remark Labeling

Introduction

Open-ended comments provide valuable insights into the consumer's perception of a product, and help in identifying areas for improvement. However, analyzing such comments can be time-consuming and challenging. With remark labeling, the comments can be easily categorized and analyzed, which saves time and effort while providing meaningful insights.

This feature require panelists to provide detailed feedback about a product using a remark question type, which can be labeled and analyzed to extract meaningful insights.

With this functionality, users can assign specific labels to open-ended comments that panelists have provided about a product. These labels can be anything from positive or negative sentiments, to specific product characteristics or attributes. Once the comments have been labeled, the labels can be used as categories to analyze the frequency of the mentions of a particular product for that specific label using EyeOpenR. 

Set Up Your Questionnaire

To use the Remark Labelling functionality the questionnaire must contain at least one question of the type General Question --> G-Text or H- Remark/Comment which allows you to collect open ended answer from your consumers or panelists. 

Label The Remark

When answers have been collected, go to the export tab and select Remark Labeling. 

Create as many labels as you want, there is no limitation.

Select the question you want to add the labels to. Select the remark question type and add the labels for the question with shared attributes.

Select the label you want to allocate to which specific comment and click "Confirm". 

Analysis through EyeOpenR

Once have you labeled all your remarks, the data can be analyzed in EyeOpenR. Open EyeOpenR directly from the project by selecting Export>Data>EyeOpenR. 

Data can be threated as CATA data, and analysis such as the Cochran and McNemar analysis can be done.

In Counts (pairwise): The table and graph display the number of times a label appears per product. 

• Related Articles

• How to use Live Data Monitor

  The live data monitor tool allows a project manager to quickly view the frequency results of the category questions and means of the linescale questions in a graphical output using a single click. The purpose of this tool is to immediately view the ...

• How Do I Use the Answer of a Previous Question as Options for a New Question

  Introduction When building your questionnaire there are instances where panellists may need to reference their previous selections or inputs within a questionnaire. For example, imagine a scenario where respondents are asked to select all the brands ...

• How to Use EyeQuestion's Image and Video Upload Feature in Questionnaires

  In this article, we will explore how a panelist can upload an image or a video when answering an EyeQuestion questionnaire. EyeQuestion offers two specific question types that enable participants to upload multimedia files in a questionnaire. These ...

• How to Display Feedback of Triangle and Tetrad Test

  Introduction During a Triangle test a panellist is presented with three samples of which two are equal and one is different. A panellist must point out the odd sample. A user can add the screen condition in the triangle test to display message when a ...

• How To Cite EyeQuestion/EyeOpenR In Your Article

  Data Collection If you have used EyeQuestion for data collection, you can use the following citation form: EyeQuestion® (version xxx, EyeQuestion Software, the Netherlands) Data Analysis If you have used EyeOpenR for data analysis, you can use the ...