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Culture friction calculator

What is culture friction costing you?

Culture problems rarely show up as one dramatic issue. More often, they appear as drag in everyday work: slower decisions, repeated checking, avoidable rework, weak ownership, handoff gaps and people leaving when they didn’t need to.

This calculator gives you a practical estimate of what that friction may be costing, and what value might be unlocked by reducing it.

It's designed to help you size the issue quickly, not build a forensic finance model.

Estimate the cost

Use rough numbers. A sensible estimate is enough to make the issue visible.


Approximate number of employees regularly affected by this friction.

Use an average salary for the group affected.

Include managers spending time on escalations, rework or repeated clarification.

Estimate weekly time lost to delay, duplication, rework or unclear decisions.

Estimate how many people may leave each year because of the current issues.

Include complaints, failed handoffs, avoidable rework, missed deadlines or similar issues.

Enter a rough commercial cost per incident or rework event.

What level of improvement feels realistic if this issue is addressed well?

Include the likely cost of the work needed to reduce the friction.

Want the full workbook?

The full version includes a quick worksheet, example assumptions, indicative scenario ranges, and a more detailed breakdown of where culture friction may be showing up.

Enter your details and I’ll send it over.

Why this matters

Culture may feel hard to measure, but its effects on performance are not. Workplace research by Gallup links higher employee engagement with stronger business outcomes, including productivity, profitability, retention and lower absenteeism.

This calculator does not claim to measure culture in full. It estimates the cost of one practical part of it: everyday culture friction.

This calculator is designed to make culture and behaviour challenges more commercially visible.

It works best as a starting point for better questions, better targeting, and better experiments.

Want to talk it through?