Adrian Fittolani introduces the Monte Carlo Simulation, an empirical mathematical method used to estimate project timelines.
Ian Hawkins discusses the value in epic estimation, how to handle business expectations, what influences epic estimation and what makes it effective.
Chris Young explains how he is using Little’s Law to estimate a project’s delivery rate.
Dan Brown explains the difference between forecasting and estimating, and how one can better forecast delivery with less effort and more accuracy than with estimation.
Chris Trevarthen discusses how to reduce the amount of time spent estimating, providing more meaningful estimates, and building trust with the business.
Seb Rose wonders if estimates are worthwhile and discusses what business people – Steve McConnell, Demarco, Lister, Disraeli - have to say about this.
Chris Chapman teaches delivering software without estimates through the Great Canadian #NoEstimates Puzzle Experiment, asking the participants to collaboratively build a jigsaw puzzle.
Neil Killick exposes the risks inherent to the estimation culture, proposing practical alternatives for the project and spring level.
Craig Smith, Renee Troughton discuss improving visual management: different types of story walls, ways to visualize the product backlog, the important of queue columns and WIP limitation, etc.
Neil Killick proposes ways to reduce risk and uncertainty, calculate a product’s price, determine delivery dates and roadmap, do Scrum and XP without using estimates.
Joel Semeniuk discusses ways of making better project estimates excluding guessing as much as possible.