Find where delivery actually slows down
Most delay hides in waiting, not working. Process Intelligence maps your delivery flow — cycle time by stage, flow efficiency, and work in progress — so you fix the bottleneck, not the people.
Cycle time, broken down by stage
See exactly where a change spends its time — coding, review pickup, review, and merge. Most delay hides in waiting, not working, and stage-level breakdown tells you which queue to attack.
Flow efficiency
The share of cycle time that work is actively moving versus sitting in a queue. Many teams discover most of a change's life is spent waiting — and that "go faster" really means "stop waiting."
Work-in-progress & bottlenecks
High WIP is the quietest cause of slow delivery. DXSignal surfaces WIP, handoffs, and the stages where work piles up, so you can fix the system instead of pressuring people.
Across your trackers
Flow is reconstructed from GitHub, GitLab, Azure DevOps, Bitbucket, Jira, and Linear — so cycle time and process insights reflect your real workflow, automatically.
Stop guessing where the bottleneck is
Teams routinely push for "more output" when the real problem is work in progress piling up and flow efficiency cratering. By breaking PR cycle time into stages, Process Intelligence shows the one change — usually faster review pickup or lower WIP — that unblocks the most flow.
FAQ
What is process intelligence in engineering?
It is the analysis of how work flows through your delivery process — cycle time by stage, flow efficiency, work in progress, and bottlenecks — to find where delivery slows and why, rather than just measuring final outputs.
How is cycle time broken down?
Pull-request cycle time splits into time to first review, time to approval, rework time, and merge time, derived from your code host. The biggest drag is usually review pickup — PRs sitting unreviewed.
What is flow efficiency?
The ratio of active work time to total elapsed time for a change. Low flow efficiency means work spends most of its life waiting in queues, which is fixed by reducing WIP and handoffs, not by working faster.
Map your delivery flow
Cycle time by stage, flow efficiency, and bottlenecks — reconstructed automatically from the tools you already use.
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