At JEM Software, we believe that the systems we work in can and should be better—better for the people within them and better for the outcomes they drive. Our mission is to make that future a reality by sharing our expertise and experience.

We provide Coaching, Training, and Fractional Leadership services tailored to small and mid-sized businesses. Whether you’re looking to optimize your teams, streamline processes, or scale effectively, we’re here to help.

Explore our Services to learn more, or schedule a time to chat. We’d love to discuss how we can support your goals.

April 9, 2025

Sludge: The Hidden Cost in Your Organization

The hidden cost of bureaucracy

April 3, 2025

Building Smarter, Not Harder

A Simple Framework for Deciding What to Build

January 7, 2025

Finding Flow: Mastering the Art of Deliberate Practice

Deliberate practice, feedback, and foundational skill-building are essential in product development, refining techniques first leads to better performance when it matters.

June 3, 2022

One Thing vs Multiple Things

The key to accurate forecasts is knowing if you’re predicting One Thing or Multiple Things—and using the right approach can make all the difference in delivering with confidence.

May 25, 2021

The only way to win is to learn faster

The most powerful agile teams don’t just deliver work—they optimize for learning, continuously improving their workflow to deliver smarter, faster, and with greater impact.

April 14, 2021

Improve The Work, Not The Metrics

True improvement comes from making work visible and solving real bottlenecks—not just optimizing metrics—so teams can focus on delivering real value, not just moving cards.

April 12, 2021

The Three Flow Metrics (Plus One)

By measuring Throughput, WIP, and Cycle Time, teams can gain powerful insights into their workflow—plus, the often-overlooked Work Item Age can reveal critical opportunities for improving performance and predictability.

November 19, 2020

Size Doesn't Matter, Agile Release Planning

Stop wasting time on unreliable estimates—use a simple, probabilistic approach with Monte Carlo simulations to forecast delivery dates based on historical data and known work.