Data

Metrics dashboards that support decisions

A guide to choosing a few useful metrics, documenting their sources, and turning a dashboard into a working tool.

Three professionals meet around a table overlooking the city

A dashboard is not more valuable because it shows more charts. Its purpose is to help a team see what is changing and which decision it needs to make. Before building it, identify who will use it, how often, and for which action.

Start with the questions. Is the project progressing against its milestones? Where does a sales opportunity stall? What information is missing to assess a service? Each question may need a different metric. Define its formula, source, period, and owner responsible for maintaining it.

Review data quality before decorating the visualization. A trend calculated from incomplete records can create a false sense of certainty. Note coverage, definition changes, and any relevant limits on interpreting the number.

Arrange the dashboard from general to specific: status, evolution, breakdown, and next action. Provide context through a relevant comparison and avoid arbitrary targets. If an indicator changes, the team should be able to investigate which part of the process explains the movement.

A good dashboard is also reviewed. If a metric no longer supports a decision, adjust its definition or remove it. If operations change, the questions change. Measurement discipline means keeping a visible connection between data, conversation, and execution.

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