Product management dark patterns
summary
Covers four product anti-patterns—innovation, personalization, algorithmic automation, and customer acquisition—using concrete examples: Cambridge Analytica’s illicit targeting in 2016, Amazon’s 2003 FTC ruling for deceptive Prime signups, millions of dumped rental bikes in China, and an industry stat that forecasts AI energy consumption up 500% in the next decade. Recounts a live project building an AI-driven learning and assessment product with an ethics charter, flags 300,000 auto-rejected claims as a failure mode, and prescribes impact assessments, circuit breakers, human-in-the-loop checks and health metrics.
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chapters (10)
- 0:00Product management dark patterns
- 2:08Defining dark patterns
- 9:30Innovation's dark side
- 15:48Personalization consequences
- 22:26Automation gone wrong
- 29:11Acquisition and loyalty traps
- 34:03Building awareness and having difficult conversations
- 37:11Ethical frameworks in practice
- 40:02Key takeaways
- 42:30Q&A
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