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Failure Clusters group related low-scoring AI conversations. Use a cluster to find the shared cause of a recurring problem instead of reviewing each conversation separately.

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What CraftCX groups

CraftCX groups conversations by their topic, failure type, score impact, and recurrence. A cluster includes representative conversations that show the shared problem. Clusters can identify inaccurate knowledge, repeated clarification, unclear workflows, or weak handoffs.

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Prioritize a cluster

Start with clusters that contain more conversations or have a larger AXIS impact. Read the summary, then open representative conversations to confirm the pattern. Review whether the failure affects Resolution Accuracy, Interaction Effort, or Handoff Smoothness. That dimension points to the change you need.

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Fix the shared problem

  1. Open a high-impact cluster.
  2. Read representative conversations and their score explanations.
  3. Identify the shared cause.
  4. Update the relevant knowledge, AI instruction, workflow, or handoff rule.
  5. Watch later conversations to confirm that the cluster shrinks.

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FAQ

CraftCX creates a cluster only when related failures recur. You may have isolated failures or too little conversation data.
CraftCX uses consistent grouping criteria so that you can compare clusters over time.
Compare the cluster’s later conversation count and AXIS scores with the results before your change.