Service group Working time and planning accuracy

Overtime transparency

Causes and patterns of overtime

We review where, when, and why overtime happens and how to reduce it.


Measurement period3–4 weeks
OutputPattern map
GoalReduce overtime

Problem

Overtime causes and patterns are not transparent, making it hard to judge justification and reduce it.

Solution

We show planned vs ad hoc overtime content and whether daytime capacity existed, so justification becomes clear.

Our approach

With JC360 data we uncover overtime causes and patterns, separating planned and ad hoc overtime.

We show whether people scheduled for overtime had daytime idle capacity and whether overtime hours were fully utilized.

This makes justification clear and enables concrete interventions to reduce overtime and rebalance capacity.

Use cases

  • Customer service – justified overtime vs daytime capacity
  • Operational teams – planned vs ad hoc overtime control
  • Expert support – actual content of overtime work
  • Sales – peak-period justification
  • Back office – overtime cost payoff

Steps

  1. Kick-off
  2. Measurement
  3. Pattern analysis
  4. Cause map
  5. Recommendations
  6. Consulting report (PDF) handover

Requirements

  • Contract signed at start
  • IT support for client installation
  • Overtime policies
  • Selected teams
  • Weekly 1-hour workshop

Deliverables

  • Overtime patterns
  • Cause-and-effect analysis
  • Reduction plan

Interested in this service?

Get in touch and we will send a tailored proposal.

Request quote