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Video Description
Let's get practical. This video walks through real before-and-after examples — technical gibberish transformed into human-readable requirements. Once you see the pattern, you can apply it to your own list.
What you'll learn:
The core question: "Who benefits, and what do they get?"
5 detailed before/after transformations:
- Authentication refactor → Users can log in with Google
- Database schema change → Users can save favorite reports
- API endpoint → Admins can browse without freezing
- Bug #4523 → Customers don't see checkout errors
- Stored procedure migration → Reports load in 3 seconds • The 4-step transformation pattern • Common traps that keep requirements technical • The "So What?" test • Where technical details DO belong
Key insights:
- "As a user, I want OAuth PKCE flow" is still gibberish — format doesn't save you
- Naming the technology isn't the same as explaining value
- "Improve performance" is too vague — be specific and testable
- The title is human-readable; technical details go in the description
- Keep asking "So what?" until you hit an actual person
- Stakeholders need business context; developers need technical context
Previous Video: Requirements Should Tell a Story Next Video: Why Small Requirements Win ► Full Playlist: https://www.youtube.com/playlist?list=PLGxFXI4dC2shCJwhTY-P2726zts26_AKF
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Try this: pick 5 technical requirements from your list and transform them. Share your best before/after in the comments!
Chapters
- 0:00 Technical Gibberish vs. Human-Readable Requirements
- 0:30 The Core Question
- 0:51 Example #1: The Authentication Refactor
- 1:43 Example #2: The Database Schema Change
- 2:17 Example #3: The API Endpoint
- 2:57 Example #4: The Bug Fix
- 3:51 Example #5: The Performance Fix
- 4:38 The Complete Before/After
- 4:56 The Transformation Pattern
- 5:35 Common Traps
- 6:33 The 'So What?' Test
- 7:07 When Technical Detail IS Necessary
- 7:50 Try This: Transform 5 Requirements
- 8:26 Key Takeaways
Video Info
- Duration: 9:25
- Published: December 02, 2025