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The case study earns attention by grounding an abstract AI capability in a specific, named person with a specific, relatable problem. The 'digital double' framing is concrete and memorable, and the bottom-up adoption story adds credibility by showing organic spread rather than a top-down mandate. The story sits close to the Efficiency/New Capability line, but New Capability wins because the core claim is that expertise could not scale before, not merely that it was slow.
Anchor the AI product story to a single named person's pain before zooming out to company-wide adoption. It makes an abstract capability feel human and verifiable.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Notion's published work; we link to the source and lead with our analysis.