Feature ideas

We take your ideas seriously! Read more on our prioritization process in our blog https://productmanagement.port.io/posts/managing-feature-ideas
Enhanced Dashboard Filtering - Filter by Common Properties Across Multiple Blueprints
Problem Statement Currently, Port dashboards require users to manually configure filters with exact property names and values. This creates several challenges: - Users must understand the underlying data model to create effective filters - No support for filtering by common properties that exist across multiple blueprints - Technical workflow not accessible to non-technical stakeholders (managers, executives, product owners) - Each dashboard requires manual filter setup, reducing reusability Use Case As a dashboard consumer (engineering manager, product owner, executive), I want to easily filter dashboard views using simple drop-down selections, so that I can view relevant metrics without needing to understand property names, data models, or filter mechanics. Example Scenario: A DORA metrics dashboard displays data from multiple blueprint types (repositories, deployments, services, incidents). Users want to filter the entire dashboard by a common organizational dimension (product line, team, business unit) that appears across all these blueprints. Current Limitations - Manual filter addition required for each dashboard - Users must know exact property names (e.g., "product", "team", "owner") - Cannot create filters that work across multiple blueprint types - "Contains" property provides only partial workaround - Poor user experience for business stakeholders Desired Solution - Dashboard-level filters with pre-configured drop-down lists - Single-click filtering that applies across all widgets in the dashboard - Cross-blueprint filtering - filter by common properties across different entity types - No technical knowledge required - intuitive UI for filter selection - Reusable filter configurations that can be templated across multiple dashboards Expected Benefits 1. Improved UX - Business stakeholders can self-serve analytics without technical assistance 2. Faster insights - One-click filtering vs. manual configuration 3. Better adoption - Dashboards accessible to broader audience 4. Consistency - Standardized filtering experience across organization 5. Reduced support burden - Less hand-holding required for dashboard consumers Technical Considerations - Port currently cannot filter by common properties across different blueprints - This affects any dashboard showing data from multiple entity types, or a single entity type - Workarounds exist but compromise user experience - Feature would enhance Port's value proposition for executive reporting and cross-functional analytics
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Dashboards & widgets
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