SEPTalks Event

Practical Metrics for Agile Teams

Date
Wednesday, June 13, 2018
Featuring
Troy Magennis , Focused Objective LLC

Overview

Team data and dashboards can be misused and cause more pain than results. Having the team run blind to its historical data though, is often worse, with solely opinions and gut-feel driving process change. Helping your teams see and understand a holistic balance of their data will give your advice context and encourage team constant improvement through experiments and reflection. 

Dashboards are about balancing trade-offs. Trading something your team is great at for something they want (or need) to improve. Having the team complete the feedback loop and confirm that an experiment had the intended impact, will process improvement be continuous and sustainable.

This talk showed how to expose data to teams in order for them to retrospect productively, determine if a process experiment is panning out as expected, and to vigorously explore process change opportunities. Recent research shows strong relationships between certain metrics to process and practices, and this session demonstrates how these metrics have and can be tied to timely coaching advice. The real-world dashboards demonstrated in this talk showed most common problems and how to avoid them with before and after shots and quotes from the teams impacted by them.

Meet the Speaker

Troy Magennis

Troy Magennis

Founder, Focused Objective LLC

Troy has been involved with technology companies since 1994, fulfilling roles from QA through to VP for multinational companies. Troy speaks at many Agile conferences and has played an Agile training and mentoring role for executives in small and large organizations. Previous clients include: Walmart, Microsoft, Skype, Sabre Airline Solutions, Siemens Healthcare.Troy currently consults and trains organizations wanting to improve decision making on software portfolio and project questions through Agile and Lean thinking and tools. Applying Scrum and Lean techniques appropriately and where they are going to make this biggest benefit through quantitative rigor.

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