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raphael_malet
raphael_malet
Fronteer
July 24, 2026
Solved

Analyze Topic/Tag Accuracy with Resolved Required Tagging

  • July 24, 2026
  • 2 replies
  • 89 views

Hi all, 

  • Assumption 1: an Admin created a Tagging Rule, which flags inbound messages containing a certain keyword as “urgent”.
  • Assumption 2: a similar Topic leverages AI to identify “urgent” messages. 
  • Assumption 3 : on the same mailbox, there is a Required Tagging rule, which forces the assignee resolving the message to tag it 

I’d be interested to see if it is possible to compare the Required Tagging final tag with the original tag and topic. This could help flag wrongly built tagging rules for instance

Has anyone ever created a custom report to do that?

Or would you just export Tags/Topics Analysitcs report, feed them to Claude/Chat and ask it to compare with ticket ID? 

Thanks for your time!

 

    Best answer by Carmen

    Hi Raphael,

    Great use case!

    Front doesn't have a built-in comparison report that contrasts auto-applied tags/Topics with the final tag chosen via Required Tagging. You’ll need to run an export and analyze it externally.

    The export-to-AI approach is definitely viable. To get the full picture, you'll want to combine two data sources:

    • Full Events Export (Analytics): This gives you line-by-line activity history. Look at Tags at activity time, Tags (current state), and Tag application duration. Together, these let you trace the exact tag evolution per conversation ID. All timestamps use YYYY-MM-DD HH:mm:ss in your local time zone. (Check the Full Events Export guide for field details.)

    • Rule Set CSV Export (Settings > Rules): Captures your auto-tagging logic and rule-applied tags directly from the Rule Set data tab.

    Feed both CSVs into ChatGPT, Claude, or Excel, and prompt the AI to match by Ticket ID: “Compare the initial tag/Topic applied by rule vs. the final tag applied via Required Tagging.”

    One key caveat: Avoid using the standard Tags report export alone, it only shows the current tag state, not historical changes. The Full Events Export is required for accurate audit trails.

    Hope this helps!

    2 replies

    Carmen
    CarmenAnswer
    Fronteer
    July 27, 2026

    Hi Raphael,

    Great use case!

    Front doesn't have a built-in comparison report that contrasts auto-applied tags/Topics with the final tag chosen via Required Tagging. You’ll need to run an export and analyze it externally.

    The export-to-AI approach is definitely viable. To get the full picture, you'll want to combine two data sources:

    • Full Events Export (Analytics): This gives you line-by-line activity history. Look at Tags at activity time, Tags (current state), and Tag application duration. Together, these let you trace the exact tag evolution per conversation ID. All timestamps use YYYY-MM-DD HH:mm:ss in your local time zone. (Check the Full Events Export guide for field details.)

    • Rule Set CSV Export (Settings > Rules): Captures your auto-tagging logic and rule-applied tags directly from the Rule Set data tab.

    Feed both CSVs into ChatGPT, Claude, or Excel, and prompt the AI to match by Ticket ID: “Compare the initial tag/Topic applied by rule vs. the final tag applied via Required Tagging.”

    One key caveat: Avoid using the standard Tags report export alone, it only shows the current tag state, not historical changes. The Full Events Export is required for accurate audit trails.

    Hope this helps!

    raphael_malet
    raphael_maletAuthor
    Fronteer
    July 28, 2026

    ​@Carmen appreciate the answer, thank you !

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