HR Policy Updates: Why They Consume 300–450 Hours a Year (and Why Most Teams Don’t See It Coming)

By: Caroline Riedel

HR policy updates are one of the most underestimated workloads in the function.   Most organizations don’t realize how much time they consume until they measure them — and SHRM’s recent finding that 67% of organizations updated fewer than half of their written policies in the last 24 months shows how widespread the issue is.

This blog breaks down why policy maintenance takes so much time, what drives the backlog, and how HR teams can finally get visibility into the real workload.

The Hidden Workload Behind HR Policy Updates

In a recent case study, an HR team was struggling to keep policies current. Updates felt constant and reactive, but the team couldn’t see what was driving the volume. A full review of the organization’s written policies revealed the actual scale of the work.

HR was spending an estimated 300–450 hours per year just maintaining existing policies.

Not creating new ones. Not improving processes. Not modernizing the employee experience. Just keeping the current set from falling out of compliance. This maintenance load had been underestimated for years because the work was fragmented and triggered by multiple sources across the organization.

What the Policy Review Revealed

Four patterns became immediately clear — and these patterns are common across HR teams in most industries.

1. External factors triggered a large share of updates

These included:

• legislative changes

• regulatory shifts

• market conditions

• updates from external providers

• changes in external systems

  
  

These triggers created a steady stream of required revisions that HR could not control.

2. Internal changes added another layer of volatility

Examples included:

• process updates

• role changes

• workflow adjustments

  
  

Each internal shift required policy alignment, often on short notice.

3. The workload was unevenly distributed across policy categories

Employment law, safety, and operations policies carried a disproportionate share of updates, creating bottlenecks in specific parts of the HR function.

4. The time commitment had been consistently underestimated

Small, routine revisions accumulated into weeks of work across a year — but because they were handled piecemeal, the total impact was invisible.

A table summarizing policy categories, primary drivers, and estimated update hours made the distribution of work unmistakable.

The Real Issue: Lack of Visibility Into What Drives the Backlog

The problem wasn’t that HR was behind. They already knew that.

The real issue was that the drivers of the backlog were hidden.

Without understanding what was creating the work, the team couldn’t:

• plan capacity

• anticipate spikes

• prioritize effectively

• communicate workload drivers to leadership

  
  

Once the drivers were visible, the workload finally made sense.

A More Predictable, Intentional Approach to Policy Updates

Categorizing each policy by its primary driver — legislative, regulatory, market, external provider, external system, or internal process — gave the team a realistic view of where volatility lived and where capacity was strained.

This shift allowed HR to:

• anticipate high‑change areas

• plan updates intentionally

• reduce reactive work

• allocate time more accurately

• explain workload patterns to leadership

  
  

Visibility changed the conversation from “we can’t keep up” to “now we understand why.”

And once the “why” is clear, the path to reducing the load becomes far easier to design.

If you want a clear, structured way to understand what comes before any improvement method, start with the self‑paced workshop.