🔍 Deeper Software Delivery Insights: Full Cycle Time & Advanced Filters

We've significantly expanded the Software Delivery
 dashboard with two major upgrades: a full Cycle Time breakdown and a new set of advanced filters — giving engineering teams and their leaders the precision they need to identify exactly where work slows down.
## Full Cycle Time Breakdown
Cycle Time now goes beyond a single number. It's broken down into its four key stages, so you can pinpoint where delays are happening in your delivery pipeline:
Coding Time:
 How long developers spend actively working on a change, from the first commit to opening a PR.
Review Time:
 How long pull requests sit waiting for or going through code review.
Merge Time:
 The time between a PR being approved and it actually being merged.
Deploy Time:
 How long it takes from merge to production deployment.
Understanding which stage is the bottleneck is the first step to fixing it. A long Review Time points to a code review process problem. A long Deploy Time might signal a slow CI/CD pipeline. Now you have the data to act on the right thing.
## Advanced Filters: Branch, Author & More
The Software Delivery dashboard now supports a richer set of filters so you can slice data with more precision:
Filter by branch:
 Focus analysis on specific branches (e.g., main
, release/*
, feature branches) to compare delivery patterns across different workflows.
Filter by author:
 Drill into an individual contributor's metrics — useful for 1:1s, onboarding reviews, or identifying who might need support.
Additional variables:
 Filter by repository, team, and time range to build exactly the view you need.
These filters work in combination, so you can ask questions like: "What's the average review time for PRs by the backend team on the release branch this quarter?"
## Why It Matters
Generic averages hide the real story. With Cycle Time broken down by stage and advanced filters, teams can have more targeted conversations about where to improve — and leaders can track whether those improvements are working over time.