Parsing “Can” from “Should”: How Netflix's Product Team Got Thousands of Creatives to Trust an AI Overhaul

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A source featuring McKenzie Lock discussing design thinking, AI tooling, and product complexity—covering how humans think through words, why LLM synthesis doesn’t replace user interviews, and how product decisions involve choices about where to absorb complexity, including with AI. Read 3 viewpoints with supporting evidence and source links.

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3 key points

Synthesis

  1. Humans think through words

    Humans think through words.

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    Humans think through words,

    Mckenzie Lock · Paragraph 1

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    design thinking →
  2. LLM synthesis doesn’t replace user interviews

    Just because an LLM can synthesize customer research doesn't mean a designer should stop doing user interviews.

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    Original excerpt

    Just because an LLM can synthesize customer research doesn't mean a designer should stop doing user interviews,

    Mckenzie Lock · Paragraph 5

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    AI tooling →
  3. Product decisions absorb complexity

    Most product decisions are choices about where to absorb complexity—in the product, in a process, or in a person—and AI is no exception.

    Supporting evidence 1

    Original excerpt

    Most product decisions are really choices about where to absorb complexity: in a product, a process or a person, and AI is no different,

    Mckenzie Lock · Paragraph 6

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    product complexity →

Key passages3

Attributed passages with the context to verify them. Open the original text to check the source.

product complexity

Product decisions absorb complexity

Original excerpt

Most product decisions are really choices about where to absorb complexity: in a product, a process or a person, and AI is no different,
AI tooling

LLM synthesis doesn’t replace user interviews

Original excerpt

Just because an LLM can synthesize customer research doesn't mean a designer should stop doing user interviews,

Source & methodology

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