Friday 4th October, 2013
1:30pm to 2:30pm
Cycle Time Analytics - Fast #NoEstimate Forecasting & Decision Making
If you are struggling to forecast project delivery dates and cost, or you want to eliminate the story estimation process because you feel it is waste, or you need to build the business case for hiring more staff, then this session is relevant to you. All estimates have uncertainty, and understanding how multiple uncertain factors compound is the first step to improving project and team predictability.
A major benefit of Lean is the low weight capture of cycle time metrics. This session looks at how to use historical cycle time data to answer questions of forecasting and staff skill balancing. This session compares the benefits of using cycle time for analysis over current planning techniques such as velocity, burn-down charts, and cumulative flow diagrams. This session takes you on a journey of what to do after capturing cycle time data or what to do if you have no history to rely upon.
Key session takeaways include -
Experienced IT executive (CTO/VP).Founder of Focused Objective to build tools for simulating and forecasting software development projects. bio from Twitter
Troy has been involved in many leading software organizations over 20 years. Most recently, Troy founded Focused Objective to build tools and training for simulating and forecasting software development projects, including the Monte Carlo techniques as described in his book Forecasting and Simulating Software Development Projects – Effective modeling of Kanban and Scrum projects using Monte Carlo simulation and soon to be released Lean Forecasting. Recently Troy was awarded the Brickell Key award for contributions to the Kanban community for software development.
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