Organize feedback with Tags

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Creating Tags

• Add new tags for projects, teams, features, or other focus areas.
• Tags are especially helpful for unique or specific feature names, project codenames, or internal company terms that may be more difficult for our AI to detect and understand.
• Each tag includes:
  • A short label and description for clarity
  • An optional color for easy recognition
  • A tag group for organization

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Auto-triage & AI labeling

• Use auto-triage to automatically label new feedback as it comes in.
• This trains the system’s AI model to sort future feedback into the right clusters, improving the accuracy of themes and reports.
• Once you’ve added a tag, you’ll have the option of reviewing a few existing snippets to apply the new tag to help kickstart labeling.

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Managing Tags

• Edit or move tags between groups anytime.

• Delete tags you no longer need.

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Training your data

• In Data training, you’ll see a selection of feedback snippets.
• Assigning tags here teaches the AI model how to classify similar feedback in the future.
• In some cases, you’ll see a recommended tag to assign based on the snippet content.
• Over time, this makes your feedback clustering and insights more precise.

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Syncing data

• Within a tag group or across all tags, you can sync your data after adding or editing tags.
• Syncing updates your AI model to ensure feedback is categorized correctly in future analyses.

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Viewing tagged feedback

• From any tag or tag group, you can see all feedback snippets associated with it.
• From the Snippets page, review and manually adjust tags on individual feedback items.
• This gives teams a focused view of customer input for their specific area of work.