Experimentation

Experimentation on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on experimentation in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around experimentation, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Podcast: The Human Edge: Why Brownfield Codebases Need Mob Programming, Not Just AI Vibes
InfoQ

Podcast: The Human Edge: Why Brownfield Codebases Need Mob Programming, Not Just AI Vibes

Beyond continuous deployment and pair engineering, Asgaut Mjølne Söderbom and Ola Hast explore the evolving landscape of software development in this episode of *The Human Edge*. They delve into recent experiments with AI coding tools like Claude Code, ultimately finding it valuable for many tasks but not ideal for core coding. The conversation builds directly on their previous discussion, offering a practical perspective on integrating AI into established workflows, particularly within complex, brownfield codebases.

Atlassian: Research shows organizations should approach AI at the team level, not the individual level, to achieve true ROI
VentureBeat

Atlassian: Research shows organizations should approach AI at the team level, not the individual level, to achieve true ROI

Research indicates a crucial shift in AI strategy: organizations achieve true return on investment by empowering teams, not just individuals. Atlassian’s recent State of Teams Report, surveying 12,000 knowledge workers, revealed a disconnect between individual AI adoption and demonstrable value. Leading teams prioritize shared context, redesigned workflows, and a culture of experimentation—a framework Atlassian actively helps companies implement. Explore how these principles can unlock your team’s AI potential, as detailed in our related article, "5 Free Courses to Go From AI Beginner to Practitioner."

Atlassian: Why AI speeds up employees but not organizations
VentureBeat

Atlassian: Why AI speeds up employees but not organizations

Most companies are approaching AI adoption with a focus on individual productivity, missing a critical opportunity to transform team performance. As Dr. Molly Sands, head of Atlassian's Teamwork Lab, explains, while 89% of executives report individual employees speeding up with AI, only 6% can demonstrate clear ROI. Atlassian’s research reveals that high-performing teams leverage shared context, redesigned workflows, and a culture of experimentation—a blueprint for unlocking AI's true organizational value.