
Identify the problem as the gap between the current state and the desired state, using indicators, and distinguish symptoms from problems by defining target group, indicator, time period, and gap.
Learn to craft a good problem statement using specificity, measurability, and clarity of scope and time frame, then apply a template with indicators to turn vague sentences into concrete problems.
Apply Fev1's six viewpoints—who, what, when, where, why, and how—to organize a problem. Turn vague statements into concrete, measurable problems using 5W1H.
Apply MECE and logic trees to break down problems from top to bottom, ensuring no overlaps or gaps, as demonstrated with a sales example.
Learn the Yi analysis, a root-cause framework that digs beyond surface reasons by asking why multiple times, focusing on systems, causality, and data to guide structural improvements.
Generate diverse solutions by working backward from identified causes, applying three patterns—remove, add, replace—then compare options for impact, ease, cost, and risk while seeking diverse perspectives.
This course contains the use of artificial intelligence.
Some lectures in this course use AI-generated voice narration.
This course provides a clear, practical introduction to structured problem-solving. Instead of reacting to issues based on intuition or experience alone, you will learn how to define problems precisely, analyze their structure, identify root causes, and design effective solutions. The course walks you step by step through a simple but powerful flow: clarify what the real problem is, break it down into manageable pieces, analyze why it is happening, and then develop options for what to do next.
You will start by learning how to distinguish between symptoms and true problems, and how to express a problem in a concrete, measurable way. You will then use tools such as 5W1H, logic trees, and the MECE principle to break complex issues into understandable parts. Next, you will explore Why-Why (5 Whys) analysis to move beyond surface reasons and reach the underlying causes that actually drive repeated issues. Finally, you will learn a straightforward method for generating solution ideas from those causes, categorize them into patterns such as removing, strengthening, or redesigning, and then narrow them down based on impact and feasibility.
The entire course is designed to be practical and easy to apply in real work situations. Each concept is explained in plain language and illustrated with simple examples that can be mapped to your own projects, team issues, or personal tasks. By the end, you will have a repeatable problem-solving framework you can use for meetings, reports, project reviews, and daily decision making, without needing any special background knowledge or advanced theory.