Think Like An Engineer: Structured Problem Solving

[mitsumi]

Think Like An Engineer: Structured Problem Solving
Published 12/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 44m | Size: 590 MB


A Non-Engineer's Blueprint for Data-Driven System Optimization
What you'll learn
Utilize the 5 Whys and trade-off analysis to precisely define the core problem and identify financial, temporal, or energy limitations.
Construct system diagrams (flow charts) to identify bottlenecks and friction points, thereby optimizing personal routines and projects.
Conduct structured A/B testing: Design and execute small, data-driven experiments to validate assumptions and evaluate the effectiveness of new strategies.
Treat setbacks as essential telemetry to recalculate risk, adjust variables, and implement safety factors for robust, accelerated learning.
Requirements
No prerequisites, Expert to Beginners are welcomed to learn new knowledge
No Prior "Engineering" Experience Needed
Description
"This course contains the use of artificial intelligence."The course is designed to dismantle chaos and replace guesswork with measurable protocol by applying a powerful cognitive framework used by engineers. The most important areas covered include:1. Diagnosing Root Causes and Defining Constraints (The Diagnosis Phase): ◦ You learn to move beyond symptoms to the root cause of failures. This is achieved by mastering the 5 Whys technique, which helps uncover systemic or organizational failures that allowed a problem to occur, rather than focusing on surface issues or individual errors. For example, a missed deadline is revealed to be a protocol design failure, not a time management problem. ◦ This area also involves deploying Trade-Off Analysis using the Iron Triangle (Time/Speed, Cost/Budget, and Quality/Scope) to explicitly evaluate and choose the optimal compromise by balancing competing factors. By defining non-negotiable constraints, you stop chasing impossible "perfect" solutions and focus resources on viable options.2. Modeling and Optimising Personal Processes (System Architecture): ◦ You learn systems thinking by recognising that every goal or habit is a structured system composed of three core elements: Inputs (resources like time, energy, materials), Processes (the sequence of actions), and a measurable Output (the desired result). ◦ You then learn to visualize routines using flow charts to identify the bottleneck-the single point of friction that restricts the throughput of the entire system. Crucially, the Theory of Constraints dictates that improving any step before the bottleneck is a waste of effort; optimization efforts must focus on reducing the constraint. ◦ Furthermore, you implement dynamic self-correction through the Feedback Loop-using a Sensor to measure deviation from a Set Point (goal) and triggering a Controller (protocol adjustment) to build self-regulating habits that reduce reliance on willpower.3. Conducting Structured A/B Testing for Decisions (Validation): ◦ This is a core engineering method for validating assumptions before committing scarce resources. You treat every proposed change as a hypothesis that must be rigorously tested against the current standard (Variant A). ◦ The methodology involves designing a small-scale, controlled experiment where you isolate the Independent Variable and keep all other variables identical. You measure objective Telemetry (quantifiable data like error rate or focused work time) to set a clear Success Metric (e.g., Variant B must increase focused work time by 15%). This process replaces uncertainty and emotion with evidence.4. Integrating Failure as Design Data (Resilience): ◦ The course teaches learners to view failure not as a tragedy, but as essential telemetry that reveals a flaw in the system architecture, process, or inputs-never in the character of the learner. ◦ You learn to use post-mortem analysis, a practice common in high-reliability fields, to precisely recalculate risk and identify the specific variables that need adjustment. This approach ensures that every setback results in a concrete actionable system update, transforming errors into clear-cut design instructions. By doing this, you build safety factors and redundancy into your life to prevent total system collapse.
Who this course is for
This course is for the non-engineer who sees life as a series of solvable problems.
It targets those who lack the formal cognitive toolkit to approach these problems efficiently.
The course is for those who want to replace vague intention (e.g., "I should try harder").
The goal is to equip learners with clear, measurable protocol (e.g., "I will run an A/B test on my morning routine").

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