Dashboard Engineering
If requirement engineering defines what should be answered, and data engineering builds the assets to answer it, dashboard engineering determines how the answer is delivered. A dashboard is not a screen full of charts. It is a structured narrative interface. Its purpose is not to display data. Its purpose is to support understanding and action.
Below are some guidelines, principles if you will, that I have learnt from my practice over the years.
Transparency Before Visualisation
Trust precedes design.
Definitions Are Not Optional
Core KPIs must be defined clearly and consistently.
One Screen = One Story
Good dashboards respect cognitive limits.
Design for Clarity, Not Decoration
The simplest chart that answers the question is the correct one.
Filters and Interaction Must Be Purposeful
Every filter must correspond to a real user question.
Portfolio-Level Governance
Dashboards do not exist in isolation. They live in a portfolio.
Pre-Release Trust Checks
Before publication, every dashboard must pass a reconciliation check.
What This Pillar Ultimately Ensures
Dashboard engineering ensures that:
- Data is transparent.
- Definitions are explicit.
- Visuals are disciplined.
- Interaction is purposeful.
- Trust is verified before release.
It transforms dashboards from “interactive reports” into institutional interfaces for decision-making. Without this pillar, even excellent data engineering can be misunderstood, misused, or distrusted.
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