How Assignment Desk's Crew Directory Algorithm Actually Works

Most crew staffing platforms treat their ranking algorithms like trade secrets. We think that is backwards. If a system determines whether you get booked or overlooked, you deserve to know exactly how it works. So here it is — the complete, unredacted breakdown of how Assignment Desk's crew directory algorithm ranks every crew member on the platform.

The 3-Tier Master Rating System

Every crew member on Assignment Desk receives a master rating score that determines their default position in the crew directory. The score is built on a three-tier foundation that reflects the crew member's relationship with the platform:

• Staff Crew (base score: 200,000) — These are Assignment Desk's managed Directors of Photography and technicians. They have a proven track record, have been vetted in person, and are our first call for client bookings. Their elevated base score reflects years of verified performance.
• Enhanced / Paid Tier (base score: 50,000) — Crew members who have upgraded to an Enhanced membership. They have invested in their profile, which signals serious professional intent. The base score boost rewards that commitment.
• Free Tier (base score: 0) — Every crew member starts here. A zero base score does not mean a zero total score — it means the algorithm evaluates you purely on merit factors like badges, ratings, booking history, and profile completeness.

These base scores are not the final word. They are the starting line. Everything that follows either adds to or adjusts that number.

Bayesian Rating Smoothing — Why New Crew Are Not Penalized

Raw averages are unfair. A crew member with one perfect 5-star rating should not outrank someone with 47 ratings averaging 4.8. That is why we use Bayesian smoothing — a statistical technique that blends a crew member's actual ratings with the platform-wide average.

In plain English: if you have very few ratings, your smoothed score gravitates toward the platform average. As you accumulate more ratings, the smoothed score converges on your true average. This prevents a single outlier rating — good or bad — from having an outsized effect on your ranking.

The practical result: new crew members are not punished for having a thin track record, and experienced crew members are rewarded for consistent quality over time.

What Contributes to Your Score

Beyond the tier base and Bayesian-smoothed ratings, the master rating algorithm considers these factors:

Badges

Each badge carries a point value that directly adds to your master rating. The AD Staff badge, for example, is worth 50,000 points. Specialist certifications, equipment badges, and reliability badges all contribute smaller but meaningful amounts. The more badges you earn, the higher your composite score.

Booking History

Crew members who have been booked repeatedly — especially by multiple different coordinators — earn a booking history bonus. The algorithm looks at total gigs completed, unique coordinators worked with, and the recency of those bookings.

Profile Completeness

Your profile completeness score (measured on a 100-point scale) directly influences your master rating. A crew member at 95/100 completeness will rank higher than an otherwise identical crew member at 45/100. Every field matters — name, phone, location, bio, headshot, equipment, portfolio, and more.

Recency

The algorithm applies a recency weighting so that recent activity counts more than activity from years ago. A crew member who was highly rated three years ago but has not worked a gig since will gradually see their score reflect that inactivity. This keeps the directory current and relevant.

Equipment

Listing your equipment is not just informative — it is a scoring factor. Crew members with detailed, verified equipment lists rank higher because clients search for specific gear, and the algorithm rewards crew who make themselves findable.

Company-Scoped Adjustments

Clients can mark crew members as preferred or blocked within their company account. These adjustments are scoped exclusively to that client's view of the directory. A preferred crew member will appear higher when that specific client is browsing or building a crew list. A blocked crew member will not appear at all. These adjustments have zero effect on the crew member's global ranking or their visibility to other clients.

Why We Publish This

We publish this because you deserve to know. When your livelihood depends on a platform's algorithm, opacity is not a feature — it is a problem. We want every crew member on Assignment Desk to understand exactly what drives their ranking and what they can do to improve it.

Visit the Crew Transparency page for a live view of how these factors apply to your profile, or create your free profile to get started.