MES, MOM & Shop-Floor Data Systems worked example

Production Dashboard Adoption at 61% target adoption rate: a worked example

This worked example runs the production dashboard adoption numbers for a tougher week than the baseline: 61% target adoption rate instead of the typical 85%. Measure what percentage of shop-floor users actively log into and use production dashboards, revealing whether your visibility investment is reaching intended users.

The inputs for this scenario

  • Active dashboard users this week: 34 users (held at the documented default)
  • Total intended dashboard users: 50 users (held at the documented default)
  • Target adoption rate: 61 % (the input this scenario stresses; the baseline uses 85)

Working through the calculation

  • The calculation starts from the formula this tool documents: Adoption rate = (active users / total intended users) x 100.
  • Dashboard adoption rate works out to 68 % at these inputs, and this is the headline figure for the scenario.
  • Gap to adoption target works out to -7 points at these inputs.
  • Active dashboard users works out to 34 count at these inputs.
  • Total intended users works out to 50 count at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where target adoption rate sits at 85% and the headline result is 68 %, this scenario lands almost exactly on the baseline at 68 %.
  • Use it weekly during and after an MES or dashboard rollout to track whether usage is climbing toward target, and to flag rollouts that are stalling. A result at this level usually justifies acting on the stressed input before touching anything else, because every other figure in the table is downstream of it.

Results at a glance

  • Dashboard adoption rate: 68 % (headline result)
  • Gap to adoption target: -7 points
  • Active dashboard users: 34 count
  • Total intended users: 50 count

Run it with your numbers

  • To rerun this with your own numbers, open the live Production Dashboard Adoption calculator, set target adoption rate to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.