Labelbox adopts Kraftful to eliminate manual support-ticket review and deliver real-time customer feedback insights
Labelbox's product support team spent several days each month manually tagging and categorizing support tickets and writing monthly reports — a tedious process that caused slow response times and limited their ability to promptly address key customer concerns.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Feedback arrives from customers
A large volume of feedback arrives from enterprise customers and the Alignerr community of experts.
Tools used
Kraftful
Outcome
Kraftful enabled rapid identification of customer issues, streamlined internal communication, improved team collaboration, and gave the team the ability to see customer sentiment and prioritize in real time — replacing a multi-day monthly reporting process with immediate, actionable insights that drove meaningful product action.
What failed first
Before finding Kraftful, John Vega tried manually exporting support tickets into ChatGPT without success, and evaluated other tools that had confusing or overly complicated interfaces for uploading data.