Actionable Agile Metrics for Predictability Quotes

“Are you constantly asked to start new work before you have had a chance to finish old work? - Are you constantly asked to expedite new requests in addition to being expected to get all of your other current work done according to original estimates and commitments? - How many features do you start but do not finish because they get cancelled while you are working on them? How likely is it that the new items that replace the cancelled work will themselves get cancelled? - When something that you are working on gets blocked (for whatever reason), do you simply put that blocked work aside and start to work on something new? - Do your estimates give consideration to how many other items will be in progress at the time you start work? - Do you ignore the order in which you work on items currently in progress? - Do you constantly add new scope or acceptance criteria to items in progress because it is easier to modify an existing feature rather than to open a new one? - When an item takes too long to complete, have you ever said or heard someone say “it is just bigger than we thought it was” and/or “it will get done when it gets done”? - When things take too long to complete, is management’s first response always to have the team work overtime?”
― Daniel S. Vacanti, Actionable Agile Metrics For Predictability: An Introduction

“Some manager mandates that more new work be started before current work has finished. - Resources that are actually doing the work are constantly pulled in multiple different directions and are not allowed to focus on any one thing. - There is a dependency on some external team or vendor.”
― Daniel S. Vacanti, Actionable Agile Metrics For Predictability: An Introduction

“Work In Progress (the number of items that we are working on at any given time), Cycle Time (how long it takes each of those items to get through our process), and Throughput (how many of those items complete per unit of time).”
― Daniel S. Vacanti, Actionable Agile Metrics For Predictability: An Introduction