Reaching a Sustained Pace with XP

For many teams, “transformation” has meant new tools layered on top of previous practices. Our recent XP initiative revealed a different path. The results were a rapid org-wide transformation. 

Galvanize worked with a Fortune 100 Company to transform over 3,000 technologists (Engineers and Product Managers) from a mix of agile and project management practices to a full roll-out of Extreme Programming (XP).

The technology teams needed to be more efficient, with high developer satisfaction, dependable quality, and consistent delivery.

The goal for Galvanize was to implement a training to reduce:

• Inconsistent practice
• Low code quality
• Lack of confidence
• Inconsistent expectations across products
• Slow down in velocity (the rate at which software development progresses)
• More frequent outages with long MTTRs (Mean Time to Restore, the average time your engineering organization needs to return systems to normal after a failure)

The solution was to launch an accelerated, full-time training program, followed by structured production adoption support provided by Galvanize instructors/coaches for both Product Engineers and Product Managers. The goal was to establish measurable, seamless, consistent, lean XP practices across design and engineering. Training technology teams achieved this to:

• Take shared ownership of business outcomes
• Demonstrate progress through demos
• Deliver value iteratively
• Increase speed to market and availability

Our team of instructors coached the technologists during the 2-year XP transformation, resulting in a 27% increase in diagnostic understanding and the application of XP at work.

Here are our findings:

• Teams moved from reactive execution to disciplined, aligned, predictable delivery with faster feedback loops
• People realized they have more control than they thought; confidence and team autonomy grew
• Clear improvements in communication, cohesion, and team dynamics, especially in the post-classroom phase
• XP practices were adopted and valued
  • Ceremonies and pairing were the two biggest drivers
  • Retros reinforced improvement
• TDD was highly valued but less prevalent early in the transformation
• Team autonomy and deployment frequency improved, while trust in the process increased
• DORA metrics improved
• Initial skepticism in a global transformation turned into belief through practicing a growth mindset and practical application
• AI strengthens XP by improving customer story quality, expanding acceptance criteria, surfacing edge cases, and code/test support.

By investing in immersive training and long-term coaching, the organization learned and practiced a new methodology that supports predictability, quality, and trust, both within teams and across the business. The impact of the XP transformation was clear to the instructors who worked alongside teams day after day. Their reflections capture the human dimension of the transformation, as well as the practical ways XP, and now AI, helped teams reach a sustainable pace. Here’s what they had to say.

Quotes from instructors:

• “We’ve moved from reactive execution to disciplined, aligned delivery.”
• “I was surprised by how much of the transformation was cultural rather than technical.”
• “AI has strengthened our XP practices rather than replacing them.”

As teams practiced XP consistently, the most meaningful changes showed up not only in metrics but in confidence, collaboration, and ownership. The impact of the XP transformation was also clear to the trainees. Here’s what they had to say.

Quotes from trainees:

• “The sessions were very informative and interactive.:
• “I was able to learn the new way of working using XP.”
• “Overall, the training was well structured and very informative. The hands-on approach, especially through TDD and pair programming, made the concepts easier to apply in real scenarios. Thank you for creating a supportive environment for learning and collaboration.”
• “Mentors are very knowledgeable and able to resolve all our queries. In my opinion, TDD and pair programming practices are the most valuable part of this training as we are changing our mindset from individual contributors.”
• “I think getting hands-on experience during the coaching embedding phase allowed attendees to think about implementations and provided good practice!”
• “I’ve been able to apply the learning directly in production by implementing more consistent data loading patterns and improving pipeline error handling.”