IIoT, SCADA & Edge Connectivity calculator

OT Dashboard Adoption Rate Calculator

Estimate OT dashboard adoption. Enter the count of distinct active users of the dashboard set in the period, the total target user base (operators, engineers, supervisors), and the adoption target. The calculator returns adoption rate and the gap to target.

What this calculator does

  • Estimate operator and engineer adoption of OT dashboards from the count of distinct active users in the period against the total target user base, against an adoption target.
  • Use it when an operations or analytics lead is tracking whether the new dashboards (PI Vision, Grafana, Power BI on OT data) are actually being used by the people they were built for.
  • It returns the share of the target user base actually using OT dashboards in the period and the gap to the adoption target.

Formula used

  • OT dashboard adoption rate = active users ÷ target user base × 100
  • Adoption gap to target = target rate - actual rate

Inputs explained

  • Distinct active users in the period: Use the count of distinct users who opened a dashboard in the audit window (week or month). Same user multiple times counts once.
  • Target user base: Use the total target user base for the dashboard set (operators on shift, engineers, supervisors, plant manager).
  • Adoption target: Use the adoption target (typical 70 to 90 percent within 90 days for purpose-built operations dashboards).

How to use the result

  • Use it 30, 60, and 90 days after a dashboard goes live, when justifying continued analytics investment, or when an operations leader asks if the dashboards are actually being used.
  • Adoption is not value. A user opening a dashboard once does not mean they used it for a decision; pair with operations interview feedback for value.

Common questions

  • What audit window should I use? One month is a good default for shift-rotated operators, two weeks for engineers. Match the natural shift rotation.
  • What target is realistic? 70 to 90 percent within 90 days for purpose-built operations dashboards. Below 50 percent usually means the dashboard does not match the user's job.
  • Should I include occasional users (one open per quarter)? No. Filter to users with multiple opens in the audit window. Single-open users inflate adoption without showing real use.
  • How do I model an iceberg user (lots of viewers, few openers)? Count any user who opened a dashboard once. Use a separate engagement metric (sessions per user, time on dashboard) for the depth-of-use story.

Last reviewed 2026-05-12.