Ask a steel erection PM how their crane utilization is, and they'll usually say "good" or "pretty solid." Ask them for a number, and the room gets quiet.
That's not a knowledge gap. It's a data gap. Until you have machine-collected production data from the hook, crane utilization is a feeling, not a measurement. And feelings don't protect your margin when the schedule gets disputed.
Here are the five metrics that actually tell the story of how your crane is performing, what they mean, and why they matter for erectors working on tight margins.
This is the most fundamental metric: what percentage of the shift is the crane actively making productive picks versus sitting idle? It sounds simple, but most teams have never had an accurate number.
Data from Versatile across hundreds of projects consistently shows that most teams overestimate their crane utilization. The gap between perceived utilization and actual utilization is where margin leaks hide. When you can see the real number, you can start improving it.
A raising gang costs roughly $1,000 per hour. If your crane is only actively working 65% of the shift instead of the 80% you assumed, that's 1.2 hours of idle time per day at $1,000 per hour. Over a 4-month project, that adds up fast.
"We thought our utilization was fine. The data showed we were leaving 25% on the table. Once we saw it, we restructured our pour schedule." (PM, cast-in-place contractor)
How long does each pick take, from hook-on to placement? This metric establishes your baseline. Once you know your average, you can spot when individual picks deviate from it and ask why.
Pick cycle time varies by piece type, weight, distance, and complexity. The value isn't in comparing yourself to other projects. It's in comparing today to yesterday, this week to last week, this zone to that zone. When cycle times start creeping up in a specific area, the data shows it before the schedule shows it.
The Insight cards in the Versatile system automatically flag picks that run significantly longer than baseline. Each card includes timing, cost impact, and linked evidence. The anomaly documentation starts before anyone in the trailer knows something went wrong.
This is where the daily production report earns its keep. The system separates active production (steel being rigged, flown, and set) from non-productive time (waiting, coordination, staging delays, other-trade interference).
Versatile data consistently identifies 30 to 60 minutes of raising gang micro-delays per crane, per day. These are the coordination gaps, the waiting-on-connector moments, the fabrication issues that add up silently. At $1,000 per hour, that's $500 to $1,000 in daily margin exposure.
The difference between knowing about these micro-delays and not knowing is the difference between a documented backcharge and an absorbed cost. You can't recover what you can't prove.
For steel erection, sequence is everything. The planned erection sequence exists for a reason: structural integrity, crane reach optimization, and material staging efficiency. When the crew has to work out of sequence, it costs time and creates risk.
Sequence adherence tracks whether the actual erection order matches the plan. Crane intelligence maps every pick against the planned sequence and flags deviations automatically. If the crew went out of sequence because a piece wasn't staged or a delivery came in wrong, the data shows exactly when and why.
This metric matters for margin protection because out-of-sequence work is one of the most common causes of schedule delays on steel projects. And it's almost always caused by something outside the erector's control: late deliveries, fabrication errors, or coordination failures. Having the data to prove that makes the difference between eating the cost and recovering it.
On multi-trade projects, the crane is shared. Steel erectors, concrete crews, precast teams, and mechanical contractors all need hook time. The question of who got how much time, and whether the allocation was fair, is one of the most common sources of friction on a busy jobsite.
Hook time allocation data shows exactly how crane time was divided between trades, backed by timestamped pick records. When the GC questions why erection fell behind, you can show precisely how much hook time went to your crew versus other trades.
"Hook time used to be a black box. Now we can show every sub exactly how much time they got." (Superintendent, southeast GC)
This metric turns a subjective argument into an objective conversation. And on projects where crane time is the critical path, that objectivity is worth real money.
None of these metrics are useful as abstract concepts. They're useful when they're backed by verified, machine-collected data from the hook. Data that's captured automatically. Data that's tied to your IFC model. Data that creates defensible records for every day of the project.
Versatile has tracked over 2.4 million metric tons of steel in the last 12 months. Across that volume, the erectors who measure these five metrics consistently protect 2 to 6 margin points more than those who don't. Not because the metrics make them faster. Because the data gives them proof of what happened, what held them up, and whose delay it actually was.
Your crew knows how to set steel. These metrics make sure everyone else can see it.