- First, I would clearly define each KPI and its calculation logic so users understand what the numbers represent.
- I would add metric definitions or tooltips directly in the dashboard to explain the data source and calculation.
- Next, I would highlight any limitations such as data refresh frequency, missing fields, or assumptions used in calculations.
- For example, in one project the dashboard showed weekly sales, so we clearly mentioned that the data refreshed every Monday.
- I would also discuss these limitations during stakeholder walkthrough sessions to set the right expectations.
- This helps users understand when the data is suitable for decision-making.
- If needed, I would include notes or a data disclaimer section within the dashboard.
- Finally, I would encourage users to validate critical decisions with detailed reports or source data when necessary.
Users rely on dashboard numbers without understanding limitations. How do you handle this risk?
Updated on March 9, 2026
< 1 min read
