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Labour productivity

Hours and labour cost per unit of work, such as per occupied room, per cover or per transaction, by team and by week.

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What it does

Labour is usually the largest cost a manager controls. Expressing it per unit of work makes busy and quiet weeks comparable, so you can see whether a team got more or less efficient.

Who can use it

  • Operations and finance managers
  • Owners
  • HR analysts

Where it fits

  • Weekly labour reviews
  • Budget setting
  • Comparing teams or sites

How to use it

  1. Enter hours and wages by team
  2. Enter the units of work for the same period
  3. Read cost and hours per unit and how they compare with your target

Limitations

  • It needs hours and work counts for the same period, typed or pasted
  • Doesn't yet split fixed and variable labour

What's next

  • Read hours from a time-clock export
  • Fixed and variable labour split
  • Restaurant and retail units

Run it on your own data

  1. In the browser (today)Free, no sign-up. What you enter stays on your device. Good for trying it and for small teams.
  2. On your files or databasePoint the same logic at your exports or a database view (PostgreSQL, SQL Server, Azure SQL or DuckDB), on your own machine or network.
  3. As a pipeline and warehouseA scheduled ETL job pulls from your systems (reservations, point of sale, inventory, payroll) into a star-schema warehouse, runs data-quality checks, and the tool or a Power BI report reads the result every morning.

What that adds here

  • Join time-clock and sales or occupancy data in a warehouse so the numbers update daily

How I'd set it up for you

I'd map your exports or database to the tool's model, package the job in a container that runs on your server or cloud account, add the checks your data needs, and hand over the code and a runbook. Your data stays on your systems. Get in touch if you'd like it fitted to your business.

Updates

No logged updates yet. Changes to this tool will appear here and in the activity log.