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PTA 404 · Unit 1 of 6

AI Product Opportunities and Economics

AI Product Strategy and Generative AI

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Learning objectives

After completing this unit, you will be able to:

  • Apply ai product opportunities and economics to real product and technology decisions
  • Apply the frameworks in "AI Product Opportunities and Economics" to a real management decision
  • Make progress on your Unit lesson exercises applied project

Why this matters

AI features without unit economics can grow usage while shrinking margin.

Lesson

Unit overview

Complete all 4 lessons in order. Each lesson follows the program gold standard: SignalStack scenarios, worked examples, practice problems, and managerial judgment prompts tied to AI Product Opportunities and Economics.

Connection to applied work

This unit feeds directly into Unit lesson exercises. As you read, capture notes, examples, and data you can reuse in that deliverable. Strong students finish each unit with a draft section of their project, not just highlights.

Practice

  1. Write a one-page summary of this unit in your own words without looking at the lesson.
  2. Find a real company example (public filing, news article, or personal experience) that illustrates the main concept.
  3. Draft one paragraph recommending an action a manager should take based on this unit.
  4. Add at least three terms from this unit to your course glossary.

Knowledge check

Answer these without notes before marking the unit complete:

  1. What is the central idea of "AI Product Opportunities and Economics"?
  2. What mistake do beginners most often make when applying this material?
  3. How does this unit help you complete Unit lesson exercises?
  4. What is one decision you face this month where this unit applies?

Key takeaways

  • Apply ai product opportunities and economics to real product and technology decisions
  • Business concepts only matter when they change a decision.
  • Your PTA 404 assessment (AI Product Opportunities and Economics for AI Product Strategy and Generative AI using SignalStack applied examples.) rewards applied understanding, not memorization.

Unit assessment

Complete each section below. Score 80%+ on the quiz to finish this unit's assessment.

50% applied project30% case work20% knowledge checks

Exercises

Apply what you learned in this unit with structured practice.

ExerciseApplied practice: AI Product Opportunities and Economics45 min
Complete a focused practice exercise on **AI Product Opportunities and Economics**. 1. Choose a real company, product, or situation you know. 2. Apply one core framework from this unit to analyze it. 3. Write your analysis in 300–500 words with a clear recommendation. 4. Cite at least one credible source.

Deliverable

300–500 word analysis document saved to your portfolio under PTA 404.

Rubric

  • • Framework applied correctly (not just named)
  • • Specific evidence from a real example
  • • Clear recommendation with tradeoffs acknowledged
  • • Professional writing with source citation
ExerciseDrill: AI Product Opportunities and Economics30 min
Work through the practice problems in the unit lesson without looking at notes. Then check your work against the lesson and write a short reflection: - What you got right - One mistake you caught - One concept to review before the next unit

Deliverable

Problem solutions + 150-word reflection in your PTA 404 workbook.

Rubric

  • • Attempted all practice items before checking answers
  • • Honest reflection on errors
  • • Identifies a specific review action

Case analysis

Analyze a case using frameworks from this unit.

CaseCase analysis: AI Product Opportunities and Economics60 min
Analyze a real business case through the lens of **AI Product Opportunities and Economics**. Choose a public company event, HBR-style case, or documented decision. **Deliverable structure:** 1. Situation summary (150 words) 2. Analysis using this unit's frameworks (400 words) 3. Recommendation (150 words) 4. Risks and what would change your mind

Deliverable

2-page case write-up in your portfolio.

Rubric

  • • Case facts are accurate and sourced
  • • Analysis uses unit frameworks explicitly
  • • Recommendation is justified with tradeoffs
  • • Risks are specific, not generic

Knowledge quiz

Check your understanding before marking the unit complete.

1. SignalStack's Maya Chen faces: "Board asked which AI bets increase ARR per dollar of GPU spend." Which decision frame is strongest?

2. Which term from AI Product Opportunities and Economics is defined correctly for SignalStack?

3. Priya Nair reviews evidence for AI Product Opportunities and Economics. Which label is appropriate after 12 customer interviews showing a recurring theme?

4. Which mistake is most common when applying AI Product Opportunities and Economics at dev-tools scale?

5. SignalStack reports $18M ARR and 92,000 DAU. Why does AI Product Opportunities and Economics discipline matter at this scale?

6. Which framework mapping fits AI Product Opportunities and Economics at SignalStack?

7. Dev Okonkwo warns about inference cost and reliability. Which guardrail metric fits AI Product Opportunities and Economics?

8. Integrating PTA 404 for SignalStack, strongest next test after descriptive dashboard read is usually:

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