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Applying Metrics for Predictability

Learn to use agile metrics, flow analytics, and Monte Carlo simulation to improve project predictability, risk management, and data-driven decisions in real-world projects.

ProKanban.org Advanced Traditional

Applying Metrics for Predictability

Course Code: AMP


Overview

Master agile metrics and forecasting in this immersive 8-week course to enhance project predictability, risk management, and data-driven decision-making.


Target Audience

  • Executives
  • Managers
  • Team Members
  • Product Owners
  • Lean Agile Practitioners
  • Professionals involved in Agile or Lean project management

Learning Outcomes

  1. Understand agile metrics and their role in predictability.
  2. Master flow metrics: Work in Progress (WIP), Cycle Time, and Throughput.
  3. Utilize flow analytics: Cumulative Flow Diagrams (CFDs), Scatterplots, and Histograms.
  4. Employ Monte Carlo Simulation for accurate project forecasting.
  5. Quantify and manage risks associated with project outcomes.
  6. Apply techniques to real-world projects for immediate impact.
  7. Validate knowledge through online assessment and receive guidance for improvement.

Course Topics

  • Agile Metrics for Predictability
  • Flow Metrics: WIP, Cycle Time, Throughput
  • Flow Analytics: CFDs, Scatterplots, Histograms
  • Forecasting with Monte Carlo Simulation
  • Quantifying and Managing Risk
  • Application of Metrics to Projects
  • Validated Learning and Assessment

Delivery Format

  • Traditional (8-week immersive course)

Proficiency Level

  • Intermediate

Course Length

  • 8 weeks

Trainer/Designer

  • Martin Hinshelwood

Vendor

  • ProKanban.org