Free 9-page guide
See what AI found in 60 seconds of workflow data, and how it reached each conclusion.
Get the complete walkthrough of three problems found in one software delivery dashboard. Follow the data, evidence and investigation trail behind each finding, then see the specific next steps it produced.
Inside the guide
The guide follows each finding from the first signal to the next step.
- What appeared when the dashboard opened?2
- Which problem needed urgent attention?3
- How did the analysis reach its conclusion?4
- What did the item-level evidence show?5
- Why were seven items moving together?6
- What put one item so far outside the usual range?7
- How do the three findings change the response?8
From dashboard data to an operational response
The dashboard has the metrics. The harder question is what they mean together.
This example starts with 37 work items in progress, several workflow charts and three insights competing for attention. The guide shows how the analysis moves beyond flagging unusual numbers to investigate what is happening and what to check next.
Which signal needs attention first?
See how the analysis separates an urgent system-level problem from findings that should be monitored.
Can the conclusion be checked?
Follow the underlying rates, stage histories, wait times and percentiles used to support each finding.
What should happen next?
See how each diagnosis leads to a different operational response instead of one generic recommendation.
About the author
The guide is written by Sonya Siderova, Founder and CEO of Nave.
Nave started inside a product development team that delivered 25% of what it had committed to. The team adopted Kanban and began making decisions from its delivery data instead of opinions. That experience led to Nave, a flow analytics platform trusted by 7,000+ delivery teams worldwide.
We’ll send the complete 9-page guide to your inbox.
Enter your first name and email to get What AI Found in 60 Seconds of Workflow Data at no cost.