The Cost of Waiting: Why Gathering More Information Is Not Free

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Hi Friends,

Leaders looove to wait for more data.

Just look at the last 3-4 years of Jerome Powell and now Kevin Warsh speaking about waiting for more data before making interest rate decisions.

And in some ways they are right.

We should wait for more data.

But there are other cases, where waiting can create an issue.

Let's flip to HR.

When facing an ambiguous workforce challenge, the standard playbook demands patience. Gather more employee surveys, run another focus group, commission a deeper analytics study, and wait for certainty before making a move. You get the point.

Waiting feels safe.

More importantly, it feels prudent.

But...

In practice, delaying action carries a high, unmeasured price.

Drawing from Claudia Sahm's recent commentary on macroeconomic policy and interest rate timing, the core economic reality applies directly to human capital:

Every month spent stalling workforce decisions accumulates real organizational friction.

The Illusion of Free Delay

Organizations treat information gathering as a zero-cost activity.

Surveys cost little to send.

Meetings cost only time.

Additional analysis requires minor analytical bandwidth.

This view ignores the hidden carrying costs of delay.

When retention starts declining in a critical technical division, waiting six months to confirm the trend through exhaustive exit interviews allows a lot of key talent to walk out the door.

When operational bottlenecks slow down product delivery, waiting for next quarter's engagement score before redesigning team workflows leaves revenue on the table.

Uncertainty does not freeze while you study it.

Sadly, it compounds.

The longer leadership hesitates to address structural friction, the deeper that friction embeds into day-to-day operations.

Applying the Cost of Waiting to People Analytics

Consider three common organizational scenarios where waiting for more information reduces value:

1. Voluntary Turnover and Attrition Signals

• The Waiting Habit: Leadership notices early indicators of rising flight risk but decides to wait for the annual engagement survey to validate the trend.
• The Cost of Delay: High performers leave. Recruiting replacements takes months. Institutional knowledge gaps appear. The cost of acting early with incomplete data is lower than the replacement cost of delayed intervention.

2. Workforce Restructuring and Skill Gaps

• The Waiting Habit: A shifting market demands new technical capabilities, but leadership delays restructuring until a comprehensive 12-month skills inventory finishes.
• The Cost of Delay: Competitors capture market share. Internal talent stagnates in declining skill sets. You have to pay premium to poach the talent from competitors because wages have grown. You just can't catch momentum.

3. Manager Performance Interventions

• The Waiting Habit: Feedback points to systemic frontline management failure, but executives prefer to wait for multiple performance cycles to establish a clear pattern.
• The Cost of Delay: Team productivity drops, burnout spikes, and junior talent quits. Protecting bad managers in the name of gathering sufficient evidence damages team output.

Proactive Risk Assessment vs. Passive Information Gathering

Management teams often confuse data accumulation with risk management.

Gathering more data reduces uncertainty about the past.

Yet, it does very little to manage your risk.

Ask a different question:

What are the financial and operational consequences if our current hypothesis is correct, and we wait three months to act?

If the cost of being wrong early is smaller than the cost of waiting, act.

K

Whenever you’re ready, there are 2 ways I can help you:

#1

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#2

If you are looking for support in your human capital programs, such as engagement, retention, and compensation & benefits, and want to take a more data-driven approach, contact me at Tskhay & Associates for consulting services. Or simply reply to this email!