AI · Recommendations
AI Crew Recommendations
Fox Corporation · Senior Product Manager
9,000+
freelancers in the pool
Ranked crew suggestions for live productions, drawn from a pool of more than 9,000 freelance professionals.
Why it mattered
With 9,000+ freelancers, good staffing can't rely on memory. Ranking crew on the signals behind a good pick makes strong staffing decisions repeatable.
- Problem
- Staffing a live event means choosing crew from 9,000+ freelancers, and the right pick depends on location, sport-specific experience, and who has worked well together before. That context is hard to hold in anyone's head.
- Key decisions
- Chose four signals operators already trust: location, sport-specific experience, previous production-team collaborations, and preferred-hire status.
- Built and demonstrated the recommendations in context of the staffing workflow, so the value was visible to the people making the calls.
- Outcome
- A demonstrated recommendation approach that turns crew selection from recall into a ranked shortlist, built to improve staffing decisions at scale.
