Problem Solving & Decision Making: Root Cause Analysis [EN]

The Reality of Solving Messy Problems in Tech

Let’s be honest for a second: most corporate “problem-solving” sessions are just a group of expensive people sitting in a glass-walled room, guessing at what’s wrong until the person with the highest salary makes a final call based on a “gut feeling.” I’ve spent over a decade in the tech industry, and I’ve seen millions of dollars wasted because teams were busy solving the symptoms rather than the actual root cause. That’s why I finally sat down to go through Mike’s “Problem Solving & Decision Making: Root Cause Analysis” course. With his background at heavy hitters like Wargaming and Preply, I wanted to see if his framework could actually survive a real-world sprint under pressure.

This isn’t your standard, dry academic lecture. It’s more of a certification prep for your brain. The course addresses the fundamental “messiness” of the workplace. We’re often handed vague complaints like “the conversion rate is dropping” or “the API is slow,” and we’re expected to just fix it. Mike pushes back on that reactive culture. He teaches you how to transform a chaotic complaint into a precise, mathematical problem statement. If you’re looking for job-ready skills that move you from a “doer” to a “thinker,” this is where you start. It’s about building a mental operating system that uses industry-standard tools to de-risk every decision you make.

Prerequisites for Success

You don’t need a degree in data science or a Lean Six Sigma Black Belt to get started here. However, you do need a healthy dose of intellectual honesty. This course is built for people who are tired of superficial fixes. From a technical standpoint, a basic understanding of how your business or project operates is enough. Whether you’re a junior developer or a senior project manager, the only real prerequisite is the willingness to have your assumptions challenged. You’ll need to be comfortable with critical thinking and be ready to engage in hands-on labs where you map out actual problems you’re facing at work right now.

Skills & Tools You’ll Actually Use

The toolkit provided here is massive, but it’s the application that matters. Mike moves beyond the basics of the 5 Whys (which most people do wrong anyway) and introduces the Ishikawa (fishbone) diagram to visualize complex causal relationships. What I found particularly useful was the MECE (Mutually Exclusive, Collectively Exhaustive) logic. In tech, we often overlap our solutions, creating redundant systems. MECE forces you to clean up your logic trees so no stone is left unturned and no effort is duplicated.

We also dive into Pareto analysis and impact-versus-cost decision matrices. These are essential for career growth because they teach you how to say “no” to low-impact tasks. On the creative side, the course covers TRIZ and SCAMPER, which are fantastic for when your team is stuck in a rut. Instead of a standard “brainstorm” where everyone stares at a blank whiteboard, these frameworks give you a structured way to generate non-obvious solutions. You’ll also learn SIPOC and 8D—tools that are often locked behind expensive corporate training but are presented here in a way that’s immediately applicable to real-world projects.

Career Benefits & Job Roles

This course is a goldmine for anyone in Product Management, Engineering Leadership, Business Analysis, or Operations. In the current market, “soft skills” like problem-solving are actually the hardest to find. If you can walk into an interview and explain how you used a bottleneck identification strategy to increase throughput by 20%, you’re instantly more hireable. This is about building a portfolio of job-ready skills that prove you can handle ambiguity. For those aiming for advanced leadership roles, the section on Kotter’s eight steps for change management is crucial. It’s one thing to find a fix; it’s another to make sure that fix survives the next three release cycles.

The Pros: Why This Course Stands Out

• No Fluff, All Logic: Mike doesn’t waste time with “motivation” talk. He gets straight into the industry-standard tools. Every lesson feels like a tactical briefing.
• Cognitive Bias Awareness: One of my favorite sections was on cognitive biases. It’s a reality check on how our own brains sabotage our data analysis. Recognizing “confirmation bias” in a post-mortem is a game-changer.
• Actionable Frameworks: The 5W1H and SCQA frameworks are things I started using in my Slack updates the very next day. They make your communication significantly more professional and persuasive.
• High Production Value & Experience: You aren’t learning from a theorist. The insights gathered from Mike’s time at Preply and Wargaming shine through in the case studies, making the real-world projects feel authentic.

The Cons: An Honest Take

The only real downside is the sheer volume of information. This isn’t a “weekend watch” if you actually want to master the material. To get the most out of the hands-on labs, you have to be willing to pause the video and do some heavy lifting with your own data. If you’re looking for a quick “hack,” the rigor of MECE and TRIZ might feel overwhelming at first. It’s a beginner to advanced journey, but the middle section gets quite dense—be prepared to revisit the videos on process mapping more than once.