Problem
Panels added over time can end up beside unrelated information, forcing people to search for measures that belong together.
Solution
Group panels by a clear organizing principle, such as subsystem, signal type, or audience. Choose the principle that fits the page’s main task and apply it consistently.
Give groups specific names that describe their contents. Keep related panels close enough to compare, and use spacing or headings to separate groups.
Review the grouping as content changes. A new panel should fit the task, not simply go into the nearest available section.
Use when
A page contains enough panels that people need meaningful sections to scan it.
Don’t use when
There are six panels. Grouping six things into three groups adds ceremony and reduces the information density of every label.
Trade-offs
Every grouping favors some questions over others. Existing sections can discourage rethinking an outdated layout. Inconsistent organization across similar dashboards adds learning work.
Checklist
- What is the grouping axis, and is it applied consistently down the whole page?
- Would a different axis serve the primary reader better?
- Does every group have a label that says something specific?
- Is there a group called Misc, Other or Metrics?
- Does proximity anywhere imply a relationship that does not exist?
- Are groups ordered by importance, or by when they were added?
- Do the same groups appear in the same order across related dashboards?
- Does a new panel have an obvious home, or does it default to the last group?
- Are group boundaries visible without relying on colour?
- Does the grouping still make sense after the last reorganisation?
Compare
Grafana provides rows as the grouping mechanism, so a group is a labelled collapsible band, and the label is the only thing carrying the semantics. Datadog offers group widgets that nest within a page and can carry their own status, so a group is an object with state rather than only a divider. Netdata derives grouping from the collectors themselves—CPU, memory, disks, network, per application—which means the structure is generated rather than curated and is consistent across every node by construction. Honeycomb has little of this, because a board is a set of queries rather than a spatial arrangement, and the grouping question moves to which queries belong on which board.
Related
Panel grid expresses relationships through placement. Collapsible row lets groups close. Tabs as genres separates groups at page level.
Multi-page dashboard gives larger topics their own space. Dense small-multiple layout depends on clear grouping for scanning.