Overnight charging behavior is being mistaken for device removal.
Restoring sleep-window availability must not make daytime motion look like wear.
Who you’d be doing this for
“I woke up ready to train, then the app acted like I hadn’t worn it all night.”
Pia Andersen · Competitive recreational runner
She checks Sleep Performance and Recovery before deciding whether to run intervals or recover.
What is at stake
Overnight valid sleep windows fell to 94.1% after the device-state update. You have to weigh a fast threshold change against false wear classifications during normal daytime use.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- overnight availability vs daytime precision
- Python fidelity vs embedded limits
- fast release vs regression evidence
Why WHOOP
Sleep Performance and Recovery depend on valid overnight physiological sensor data from the wearable device.
Written with these in mind
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This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.