Hi eazyBI Team,
I would like to suggest a major usability improvement regarding filtering capabilities within dashboards. Currently, managing filters across multiple reports can be restrictive and requires repetitive manual updates.
We would love to see more flexibility and power given to users to build smarter, interconnected filtering alternatives. Specifically, we propose two main enhancements:
1. Dashboard-level global filters (parent filters)
Currently, users must filter each report or gadget individually. If we want to change a parameter (like Team or Sprint) for the entire view, we have to manually update every single chart.
- Proposed solution: Introduce a global filter at the top of the dashboard. Selecting a value here should automatically cascade and apply to all compatible reports on that page, streamlining the user experience.
2. Advanced / Smart custom filter logic
We need features that allow us to build more powerful, dynamic filtering alternatives rather than just selecting strict individual items from a list.
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Practical example: Suppose I want to analyze a specific sprint that runs across 4 different projects. Because these are separate projects, I currently have to manually look up and select all 4 individual sprint entities in the filter to see the combined result. Even though the sprints share the exact same name, I have to select them one by one.
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The goal: Providing users with the power to create smart, rule-based filters. For example, a filter capable of grouping items dynamically by text/name matching. Selecting a single consolidated “Sprint X” option would automatically pull data from all 4 projects that share that exact same sprint name. This kind of logical condition would greatly enhance dashboard flexibility for complex project structures.
Why this matters: This would drastically reduce manual setup, minimize maintenance efforts, and give users the autonomy to build much smarter, more dynamic dashboards tailored to their specific workflows.
Thank you for your continuous work on improving eazyBI!
Best regards,
Aline Daher.