Researching tables and dashboards for priority decisions

Users struggle when using tables and dashboards to make priority decisions, such as which deliverables to focus on. Confusion over the data's basis, period, or unit of measurement can lead to incorrect choices. Observing how they interact with these elements reveals critical design improvement points.

Understanding data interpretation

Many users struggle to grasp the "basis" of the data presented: whether it's a total, an average, or an incremental value. Similarly, the "unit" (percentage, monetary value, count) and "period" (daily, weekly, monthly) are frequently misinterpreted. Researching how users decode this information, not just what they click, helps identify where visual or textual clarity fails, directly impacting confidence in their decisions.

Filters, missing data, and sorting

The distinction between an applied filter and truly missing data is a common source of error. Users might assume an item doesn't appear because it doesn't exist, when it was filtered out. Sorting functionality isn't always intuitive. For example, in a hypothetical scenario, a product team needs to prioritize features. They observe a 'bugs' by 'module' table but don't realize a 'low severity' filter is active, overlooking critical issues. This allows inspecting the clarity of controls.

Export and post-decision actions

Often, the final decision doesn't happen within the dashboard itself. Users need to export data to spreadsheets or other tools for deeper analysis or to share with their team. Research should investigate preferred export formats and the subsequent actions users take with the exported data. This reveals whether the dashboard truly facilitates the complete workflow or creates a bottleneck in the final decision-making and collaboration stage.

Checklist for table research

• Observe how users interpret the data's basis, period, and unit.
• Verify clarity between filtered data and genuinely missing data.
• Analyze the export workflow and subsequent post-export user actions.

Create a document with edited task instructions for a usability study, including probing questions about data interpretation, filter usage, and the export process. This document will serve as the foundation for your next research session, allowing you to inspect how users make decisions with tables and dashboards.