Visualize Jira issues by status, assignee, priority, or any custom field. Custom Charts for Jira makes pie charts ready in minutes – no JQL required.
Custom Charts types
Custom Charts for Jira ships eight chart types, each built for a specific analytical job — comparing categories, tracking trends, breaking down distributions, or spotting bottlenecks. Pick the one that matches the question you're trying to answer, not the one that looks prettiest on a dashboard.
Bar charts
Bar charts arrange data as bars of varying lengths. These 1D charts compare the sizes of different categories, giving a clear side-by-side visual for anything from open issues per assignee to story points per sprint.
Grouped bar charts
Grouped bar charts stack bars within categories to compare values across categories and subcategories at the same time. Use them when a single dimension isn't enough — for example, tickets by status broken out by team.
Stacked bar charts
Stacked bar charts display multiple variables within a single category by stacking bars on top of each other. They're the right pick when you want to compare categories and see the distribution of values inside each one.
Pie charts
Pie charts slice data into sections so you can compare the relative sizes of different categories at a glance. Best for a handful of categories where proportion is the point.
Line charts
Line charts connect data points over time or a sequence. These 1D and 2D charts are built for trends, patterns, and fluctuations — velocity across sprints, cycle time by week, or ticket volume by month.
Table charts
Table charts compare items directly without visual overhead. These 1D and 2D charts are a straightforward tool for spotting patterns and understanding data at a glance when a picture would only get in the way.
Tile charts
Tile charts use multiple squares to represent a category or value, making it fast to compare and read patterns across a grid. Good for high-cardinality breakdowns where a bar chart would sprawl.
Funnel charts
Funnel charts show how data decreases or progresses through stages. They highlight bottlenecks and visualize processes — a natural fit for pipeline conversion, workflow drop-off, or any staged funnel where each step loses volume.
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