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Your best people don’t leave without warning. The warning signs are just rarely visible until it’s too late.

The Problem

A mechanical contractor lost his lead estimator in March. Looking back, the signs were there. He’d been passed over for a project lead role six months earlier, his output had slowed, he’d stopped contributing in estimating reviews the way he used to. But nobody connected those signals. The resignation was a surprise.

Replacing him took four months and cost somewhere between $40,000 and $60,000 when you factor in recruiting, onboarding, the bids that got delayed, and the institutional knowledge that walked out with him.

That story is not unusual. The construction industry has one of the highest voluntary turnover rates of any sector. And most of the turnover is driven by factors that are visible in the data.

Engagement drops before someone resigns. Performance patterns change. Utilization shifts. Overtime trends shift. The signals exist. They just don’t get seen because nobody is watching for them systematically.

What We Do

We set up workforce analytics that monitor the patterns in your team’s data and flag employees who are showing early indicators of disengagement or flight risk. With enough lead time to actually do something about it.

This is not surveillance. It’s pattern recognition applied to data your business already generates; Hours, utilization, project assignments, performance history. When the patterns shift in ways that historically precede turnover, you get a quiet alert so the right conversation can happen before a resignation hits your inbox.

We also build the workforce visibility reporting that tells you how your team is deployed, where you have capacity, and where you’re approaching overload, so you can make resourcing decisions based on real data instead of gut feel.

What Changes

At-risk employees flagged weeks or months before they resign — time to act

Workforce utilization visible across your entire team in real time

Overloaded employees identified before burnout drives departure

Resourcing decisions based on actual capacity data, not who the PM knows is available

Onboarding gaps identified early in a new hire’s tenure — before they become turnover

Cost of turnover made visible — so retention investment has a clear ROI comparison

Who This Is For

You’ve lost key people unexpectedly and the departure was a genuine surprise despite being avoidable in hindsight

Your team is growing fast and you no longer have the personal visibility on everyone that you had when the company was smaller

Turnover is a recurring cost in your business and you’ve never had a systematic way to address it before it happens

You’re making resourcing decisions based on who you think has capacity rather than who actually does