Key Takeaways
- • Incompass, a people intelligence and performance management technology company, published a report arguing that private equity-backed companies make critical talent decisions without sufficient visibility into employee contributions and leadership effectiveness.
- • The report contends that low visibility, not lack of judgment, slows decisions, and that adding process such as documentation, calibration sessions and annual reviews has diminishing returns in fast-moving PE-backed businesses.
- • Incompass recommends lightweight, continuous, bias-adjusted signals that focus on real impact, patterns over time, and low-friction input, starting narrow with upward feedback, team health diagnostics and leadership signals.
- • According to the report, poor talent visibility causes high-potential employees to stall or disengage, produces attrition surprises, and erodes trust in how decisions are made.
Summary
According to a recent report from Incompass, private equity-backed companies face a specific challenge in talent decisions: leaders must make calls on promotions, restructurings and leadership gaps while working with incomplete information. The report, as published by Hunt Scanlon Media on November 12, 2026, says these decisions directly affect whether portfolio companies meet the growth and return targets set by their investors. Incompass says leaders typically assemble their judgments from manager perspectives that vary in quality and bias, anecdotes that favor the most visible employees, and limited personal insight into day-to-day contribution across the organization.
The report argues that hesitation in these situations is rational rather than a leadership failing. "When visibility is low, hesitation is rational," the Incompass report said, adding that the problem is one of visibility rather than leadership capability. It also says that the usual response to weak confidence, adding documentation, calibration sessions and annual reviews, has diminishing returns and in a fast-moving PE-backed business "actively works against you." Incompass states that information goes stale before it is reviewed and that participation in such processes becomes performative.
To improve decisions, Incompass identifies three requirements: measuring real impact rather than output, relying on patterns over time and across peers rather than single data points, and using lightweight, continuous signals that do not slow execution. Incompass describes its platform as combining data science, artificial intelligence, machine learning and bias-adjusted feedback. According to the company's description, teams can begin with upward feedback, team health diagnostics and leadership signals, expanding only where clarity is needed, without a company-wide rollout or annual cycle.
Incompass Co-founder and CEO Jessica DeVlieger discussed real-time people intelligence, the role of AI and bias-adjusted data in an interview with Hunt Scanlon Media. The report also warns that low talent visibility carries costs that are often quiet rather than dramatic, including stalled high-potential employees, unexpected attrition, misplaced responsibility and declining trust in decision-making. The report's conclusion is that leaders build confidence before a decision by seeing real impact clearly and consistently, rather than by slowing the business.
The report argues that hesitation in these situations is rational rather than a leadership failing. "When visibility is low, hesitation is rational," the Incompass report said, adding that the problem is one of visibility rather than leadership capability. It also says that the usual response to weak confidence, adding documentation, calibration sessions and annual reviews, has diminishing returns and in a fast-moving PE-backed business "actively works against you." Incompass states that information goes stale before it is reviewed and that participation in such processes becomes performative.
To improve decisions, Incompass identifies three requirements: measuring real impact rather than output, relying on patterns over time and across peers rather than single data points, and using lightweight, continuous signals that do not slow execution. Incompass describes its platform as combining data science, artificial intelligence, machine learning and bias-adjusted feedback. According to the company's description, teams can begin with upward feedback, team health diagnostics and leadership signals, expanding only where clarity is needed, without a company-wide rollout or annual cycle.
Incompass Co-founder and CEO Jessica DeVlieger discussed real-time people intelligence, the role of AI and bias-adjusted data in an interview with Hunt Scanlon Media. The report also warns that low talent visibility carries costs that are often quiet rather than dramatic, including stalled high-potential employees, unexpected attrition, misplaced responsibility and declining trust in decision-making. The report's conclusion is that leaders build confidence before a decision by seeing real impact clearly and consistently, rather than by slowing the business.
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