Actionboards, Not Dashboards
Most plants are not short on dashboards. They are drowning in them: wall screens nobody reads, BI tools with eleven tabs, a KPI page that looks impressive in the morning meeting and changes nothing by afternoon. Reporting grew; deciding did not.
Every visualization must answer three questions: what action, by whom, and are they trained and equipped to take it?
What separates an Actionboard from a dashboard
- A dashboard describes the past. An Actionboard recommends the next move: trim the setpoint, schedule the inspection, hold the batch.
- A dashboard is built for meetings. An Actionboard is built for the console, in the operator's language, at the operator's pace.
- A dashboard measures everything. An Actionboard watches the few variables that matter and stays silent otherwise. Silence is a feature.
- A dashboard has viewers. An Actionboard has owners, decision rights, and a place in the shift routine.
The 2 a.m. test
Here is the test we apply to every screen we build: it is 2 a.m., the process is drifting, and the most experienced operator is on vacation. Does the board tell the person on shift what is happening, what to do about it, and whether they have the authority to do it? If not, it is decoration, however beautiful the charting library.
How to build one
Start from the decision and work backward to the data. Co-design with the crew that will use it. Rationalize the alarms first, so the board is not shouting into noise. Then tie every recommendation to a live tag, a named role, and a standard response. Measure adoption like you would measure any process KPI.
Operators do not need more data. They need the next right action, at the moment it matters, from a system they had a hand in building.
MAI partners with manufacturers to turn AI, machine learning, and contextualized data into measurable improvements on the shop floor, from the first lighthouse win to a scaled, operator-first run-state.
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