Gut instinct feels fast and familiar, but it can quietly sink a well planned risk strategy. From trusting familiar partners to overlooking data signals, intuitive decision making often leads to blind spots that put projects and profits in danger. This brief explores the top three ways intuition misleads teams and why pairing instincts with insights leads to safer, stronger outcomes.

DIY risk tools may look impressive, but appearances can be deceiving. In this Maple Insight Brief, we explore four reasons these platforms fail — from poor inputs to false confidence — and why expert-validated analytics lead to more reliable, actionable decisions. Because in risk analysis, accuracy isn’t optional.

Subcontractor risk scores can simplify complex decisions—but only if they’re done right. This article breaks down the five most common mistakes in subcontractor risk scoring, from outdated data to overreliance on single metrics, and offers practical fixes to help you build a smarter, stronger, and more defendable risk process.

Risk scoring is only as strong as the data and context behind it. Too often, contractors and risk managers rely on outdated numbers, overweight single metrics, or treat scores like predictions instead of insights. In this article, Maple Insight breaks down the five most common subcontractor risk scoring mistakes—and how to avoid them—so your decisions are accurate, consistent, and defensible.

Many prequalification processes fail not because of subcontractors, but because the system itself is flawed. From outdated SOPs to one-size-fits-all evaluations to vague risk labels, broken processes put projects at risk. Here’s how to spot the pitfalls and fix them with sharper, data-driven approaches.