0.3 Use Case Judgment

Role at Stage 0: Orientation

Choose AI projects that have clear users, data, success criteria, and acceptable risk. This part is one capability inside the stage. It should leave behind an artifact, measurements, and a short explanation of failure modes.

Explanation

This part has 3 sub-parts because the topic needs that many learning units to feel natural. Some stages have more parts and some have fewer; the structure follows the topic, not a fixed template.

Part Diagram

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flowchart LR
  P["<b>0.3</b><br/>Use Case Judgment"]
  P --> S1["<b>0.3.1</b><br/>Use Case Selection"]
  P --> S2["<b>0.3.2</b><br/>Feasibility and Risk"]
  P --> S3["<b>0.3.3</b><br/>Product Metrics and<br/>User Value"]
  P --> E["<b>Exam</b><br/>Part practice"]

Sub-Parts

Sub-part folder	What it explains
0.3.1 Use Case Selection	Use Case Selection is the working skill inside Use Case Judgment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result.
0.3.2 Feasibility and Risk	Feasibility and Risk is the working skill inside Use Case Judgment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result.
0.3.3 Product Metrics and User Value	Product Metrics and User Value is the working skill inside Use Case Judgment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result.

What a Person Who Masters This Part Can Do

• Explain how Use Case Judgment supports a learning log, environment checklist, use-case decision memo, and first roadmap plan..
• Build and inspect this artifact: Write a use-case brief for the first AI application you want to build.
• Measure progress with: Score user value, data availability, evaluation difficulty, latency, privacy, cost, and risk.
• Debug at least one failure mode before moving to the next part.

Build and Measure

Build: Write a use-case brief for the first AI application you want to build.

Measure: Score user value, data availability, evaluation difficulty, latency, privacy, cost, and risk.

Tests

Take one 30-question exam after studying this part. It opens in a new browser tab so the study page stays available.

Open Part Exam

Back to Stage

Return to Stage 0: Orientation.