Knowledge work tends to be variable in nature and involves cross-functional teams collaborating on each step of the process. This makes project delivery hard to predict as work may be held up due to unforeseen blockers, hand-off delays, or approval cycles taking longer than expected.
In this webinar, I’ll provide guidance around choices you can make that impact your ability to meet your commitments with confidence.
You'll learn how to predict the cycle time of work before it's finished. I will also explain the basics of queuing theory, and the relationship between queue size, capacity utilization, and cycle times. Armed with this insight, you'll be able to:
* Monitor your workflow for leading predictability indicators.
* Make informed choices to maximize your value throughput.
* Forecast delivery with better accuracy using LeanKit data and analytics.
There's no magic required in achieving predictable delivery. The secret is using past performance data to predict future behavior.