Agile Pain Point Solutions (APPS) Series is collection of 1-day classes that cut straight to the challenges people have been reporting to us for over a decade. Offering simple, yet powerful answers, each class gives you new skills and insights with which to address an aspect of Agile adoption that is poorly addressed in conventional literature.

Forecasting Projects and Customer Deliveries

No estimates, No speculation, No crystal ball gazing! 

A mathematically robust approach to fact-based planning for the enterprise scale projects and programs 

Traditional deterministic planning – analysis, decomposition and fine-grained, often time-based estimation – is part of the reason the Agile movement happened. Yet, in the pragmatic real-world, customers and other stakeholders still need plans and forecast delivery dates and commitments. Agile guidance to address these real-world concerns haven’t been fit-for-purpose: overly simplistic techniques based on metrics such as velocity have been failing product owners and scrummasters the world over.

In this 1-day class developed by one of Kanbanland’s expert mathematician, Alexei Zheglov, we offer you a fact-based, scientific approach to planning projects and customer deliverables in a lightweight and agile fashion using the mathematics of probability and risk management. You will learn to produce robust, mathematically sound, defensible forecasts and plans, using the minimal of effort. You’ll leverage real historical data to make better plans. You’ll learn just how many historical data points you need to forecast with confidence. You’ll learn the mathematical and scientific basis for every practice you’ll use.