Release Notes

See what’s new in Nave, including new features, improvements and updates to the way you analyze and improve software delivery.

Want to see what’s next?

Explore the Product Roadmap

Release notes archive

29 May, 2026

Hide Person-Related Fields in Jira and File Dashboards

Nave now gives you the option to hide all person-related fields — including assignees, reporters, and any custom user fields — from your dashboards. When enabled, these fields are removed from filters, chart breakdowns, and the custom fields selector entirely.

Many teams use Nave to share flow metrics with leadership, clients, or external stakeholders. Person-related fields can introduce friction in those conversations — shifting focus from process health to individual performance, or surfacing names that shouldn't be visible outside the team. With this setting, you can share dashboards confidently without manually managing which fields are visible. It also helps organizations support their internal data handling and privacy requirements by reducing the exposure of personal data in shared views.

The option is available for Jira and File integrations. To enable it for your account, contact us at hello@getnave.com.

28 May, 2026

Azure DevOps Built-in Blocked Field Support

Teams using the CMMI or Scrum process template in Azure DevOps can now use the built-in Microsoft.VSTS.CMMI.Blocked field to track blocked work directly in Nave. Select it from the "Select blocked flag" dropdown on the Edit Dashboard page, save, and update.

Nave correctly treats "Yes" as blocked and anything else as unblocked. Blocked time tracking, the red dot on the Cycle Time Scatter Plot, and all blocked-related charts work exactly as they do for custom boolean fields, with no additional configuration needed.

azure devops built-in blocked field support

25 May, 2026

Arrival vs Throughput Breakdown in the CFD

We've added a stacked bar view to the existing Arrival vs Throughput chart in the CFD. Teams can now see not just totals, but also how different types of work contribute to demand and throughput over time. This makes it much easier to spot where work is building up — instead of only seeing that demand is higher than delivery, you can immediately see which work types are driving that imbalance and how it changes week by week.

Switch between the current line chart and the new stacked bars. Each period shows arrivals and throughput side by side, broken down by Work Type, Labels, or Request Type, with simple filtering directly from the legend. You also get richer context when hovering over the chart, a summary table that highlights net accumulation by work type, and the ability to export the view as an image, CSV, or PDF.

arrival vs throughput breakdown in the cfd

See what your delivery data is telling you

Connect your existing data and start investigating flow, predictability and delivery performance.