When will a user need to refresh a story with the latest data?

A user needs to refresh a story with the latest data specifically when the underlying dataset has changed. This means that if new data has been added, existing data has been modified, or any deletions have occurred, the visualizations and insights presented in the story may no longer be accurate or reflective of the current state of the data. Refreshing the story ensures that all elements within the visualization utilize the most up-to-date information, which is crucial for making informed decisions based on the insights derived from that data.

While other scenarios presented might impact a user's experience or require different actions (like visual design updates or prediction model adjustments), they do not specifically necessitate a data refresh. Visual design changes can be made independently of the data, and first-time users accessing the story do not affect the accuracy of the data representations. Therefore, the most critical reason to refresh the story centers around ensuring that the data depicted remains relevant and accurate, which directly ties back to changes in the underlying dataset.