Open Ended Data

CoLoop can be used to analyse small amounts of open ended data qualtitatively. The video below explains how custom analysis grids and AI chats can be used to explore some of the qualitative themes within your open ended data.

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Preparing your data

When using CoLoop to analyse open ended be sure to:

• Unique Names: Make sure each of your participants has a unique name. If names weren’t collected you can apply a pseudoaonymous name e.g. “Participan 1”; “Participant 2” etc.
• Segmentation Information: Include segmentation information with your open ends e.g. divide up responses by demographic.
• Descriptive Titles: Give your columns descriptive titles so the AI actually ‘understands’ what participants are responding to.

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Using Custom Analysis Grids

• Create a new custom analysis grid after importing your data.
• Add rows corresponding to segments you wish to analyze (e.g., number of stars given in reviews).
• Pose questions within the grid to generate thematic overviews based on segment responses.

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Using the AI Chat

• Create a new AI chat and scope it to the excel files, sheets or even individual columns you want to analyse
• Ask specific questions or request examples and quotes related to identified themes.
• Click through on any outputs to see direct evidence and context verification.

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Limitations

• CoLoop does not support coding functionality, making it less suitable for quantitative analyses of large datasets.
• Basic analysis grids are limited to handling up to 150 participants. Larger datasets require alternative methods like custom grids or AI chat that use sampling strategies.
• Excel file uploads are capped at files with up to 500 rows. Larger datasets need segmentation into smaller files.