Framework
All Data, No Action
Colin's diagnosis of the entire wearables category.
How it works
- 1A decade of aggregated sleep data has not improved population sleep.
- 2Bad data makes the problem worse, because you cannot manage what you cannot measure.
- 3Good data is necessary and still insufficient.
- 4The value sits in personalized intervention: what works for you specifically, tested and confirmed.
- 5Test the interventions themselves at scale, which is why the company has run 250-plus studies across advice, CBT, supplements, pillows, mattresses, blue light filtering, and air purification.
Hear it on the podcast
Chronic Insomnia: Almost None Get Treated — Colin Lawlor on the Sleep Data GapListen to the episodeMore from this episode
The Consistency-First Sleep StackColin's personal protocol, ranked by what he actually believes moves the needle.The Light Sandwich (Jet Lag Protocol)Colin's own travel routine for resetting the clock across time zones.The Gold Standard Normalization LayerHow Sleep.ai turns four different wearable answers into one comparable number.Sleep as the Diagnostic WindowThe underused half of the sleep story: an early warning system, not just a performance lever.Two-Lane MonetizationHow a sleep data company actually makes money.
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