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What Are Flow Metrics and Why They Matter for Delivery, Predictability, and Improvement
When I first became a manager (more years ago than I care to admit), I inherited a team full of smart, dedicated people. Everyone was working hard. Meetings ...
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Building Buy-in for flow metrics- Key Takeaways from Our Webinar with ProKanban.org
Adopting flow metrics can feel like trying to convince your team to give up coffee......difficult and a little dangerous. But it doesn't have to be.
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What is WIP? (Work In Progress) Getting started with flow metrics
Does your team have a lot of tasks going on at the same time?
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What is Throughput? Getting started with flow metrics
Throughput is the count of work items your team completes per unit of time. In other words, it measures how much work gets done over a period.
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What is Work Item Age? Getting started with flow metrics
Work Item Age is the elapsed time since the work item started. Work Item Age is one of four key flow metrics along with Cycle Time, Throughput, and WIP (aka ...
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What is Cycle Time? Getting started with flow metrics
Do you know how long it actually takes for your team to finish a task from start to finish? Cycle Time measures the total elapsed time from when a work item ...
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Downloadable E-Book: A Guide to getting started with Flow Metrics
Still guessing when work will be done? You’re not alone—and you’re not without help. Figuring out where to start with flow metrics can feel overwhelming, ...
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DORA Alignment and Operational Resilience
At 55 Degrees, we work with financial institutions across Europe and beyond, providing non-critical ICT services that support collaboration, forecasting, and ...
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55 Degrees and ProKanban.org Announce Strategic Partnership to Advance Flow Metrics and Agile Learning
May 2025 – 55 Degrees, a leader in flow analytics and agile solutions, is proud to announce a new strategic partnership with ProKanban.org, the global ...
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What's In Store for Agile in 2025?
I should also say at the outset, that while I do write a lot about predictability, I’m terrible at prognostication without data, which means that what I have ...