xAIBased on real interviews
Review a contractor-led data sprint
Check whether a fast data-labelling plan can produce a model improvement that survives beyond the sprint.
Unlock with Full AccessThe challenge
Contractors are about to begin a short labelling sprint for a model that routes support conversations to specialists. Leadership wants higher precision, but the plan also determines which examples are labelled, how disagreements are handled and how progress is measured. Review whether its reported improvement would mean better routing for the customers the model serves.
An unnecessary specialist handoff and a missed specialist case have different consequences. Your review needs to connect the plan's weaknesses to those outcomes, then propose corrections within the sprint rather than redesigning the product.
What you'll practise
Label quality
Assess whether the instructions and review process can produce reliable training data.
Evidence beyond the sprint
Check that the measured gain represents the customers and languages the model will serve.
Explain the issue, its consequence and the change you would make.