CraftCX
craftcx.com- Category
- Developer Tools
- Rank
- No. 2576Tools index
Previous survey · No. 2486 ·
- Type
- TOOL
- Use case
- Model & Agent Evaluation · Business & Commerce
- Date
About
CraftCX is a review and analytics tool that helps support, product, and engineering teams evaluate the quality of conversations handled by AI support agents and surface recurring customer problems from them. Its Support Quality feature scores resolution accuracy, customer effort, and handoff quality with evidence tied back to the source conversation, while Support Intelligence aggregates recurring customer requests into signals a product team can investigate.
At a glance
CraftCX reviews AI support conversations and links quality findings to the threads behind them. It is worth evaluating if your team can see its bot’s resolution rate but still has to read threads by hand to find weak answers or bad handoffs.
Good fit
Support leads auditing AI replies and product teams looking for recurring issues in customer conversations.
Consider something else when
Skip it if you cannot share support conversations with another service or need a tool that replaces your helpdesk.
Start here
Choose one problem, such as customers repeating themselves after a handoff. Compare flagged examples with a small set reviewed by your team, then check new threads after making a change.
Cost and requirements
The launch post offers a free start and lists integrations with Intercom, Front, HubSpot and Gorgias. Confirm the plan and access requirements for your helpdesk.
Limits to know
A finding needs human review against the underlying thread and your support policy. Check the integration’s access and retention before connecting conversations that include sensitive details.
Sources checked 2026-11-05. Source-based assessment.
Why it made the leaderboard
As support teams hand more volume to AI agents, this gives a systematic way to audit their quality and mine transcripts for product feedback instead of manually reading every conversation.
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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.