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Filtering Concepts in the Analysis Grid and AI Chat

Once you’ve set up concept testing in your project, you will be able to filter and analyze by concepts in the analysis grid and AI chat. Concept analysis will specifically find text segments labelled by concepts to help shortlist relevant evidence.

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Analysis Grid

Filter a grid column to a concept so the AI only reads the parts of each transcript where that concept was shown or discussed.
  1. Click Add Question Column, write your analysis prompt, then open Add filter. The Add Question Column dialog with the Add filter button
  2. In the Filter data dialog, under Concepts, click Add concepts filter and tick the concept(s) you want to focus on. Click Add to create the column. The Filter data dialog with a concept selected under Concepts
The column now only analyzes data matching the selected concept(s). Files that have no text associated with a concept will not generate an answer. Concept analysis in the grids can return descriptive information on the strengths and weaknesses of a specific concept. Ask simple, specific questions about your concepts. For example:
  • ‘What did participants think about Concept A?’
  • ‘What did people like about Concept B?’
  • ‘What were the weaknesses of Concept T?’
Start broad, then narrow down. Look at the main themes CoLoop shows you in the overview sections, then go narrower by asking more specific questions about those themes.

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AI Chat

With Chat 2.0’s concept analysis capabilities, you can simply query for a concept analysis and the chat will assign positive, negative, neutral, or unknown sentiments to each of your participants. Running concept analysis in the chat will allow you to see exactly how participants perceive a concept with a quantitative count at the top and qualitative evidence below separated into sentiment buckets. Try prompts like:
  • ‘Run concept analysis on Concept Y’.
Concept analysis in the AI chat