Same 7 hours, completely different days — the log said why
VP
Vignesh Prabhu
ℹ️
Illustrative example — a written scenario showing how the tool is used, not a real customer testimonial.
Before
Vignesh slept roughly seven hours and still woke up groggy four days out of seven. He blamed his mattress, then his commute, then his age. He bought a new pillow. Nothing changed.
What they logged
- Bedtime and wake time, every night
- A quality rating: great / good / okay / bad / awful
- The disruptor field — late deploy, coffee, phone, noise
- How he felt on waking
The moment it clicked
Sorting by quality made the disruptor column obvious. Every single “bad” or “awful” night had either a post-9pm deploy or coffee after 5pm attached to it. Duration was never the variable — timing was.
What changed
| Measure | Before | After 8 months | |
|---|---|---|---|
| Average duration | 7h 05m | → | 7h 20m |
| Nights rated good or great | 40% | → | 78% |
| Post-5pm coffees / week | 9 | → | 1 |
How they keep track now
He watches the quality split on the insights page, not the hours slept. Hours barely moved; how he feels at 10am changed completely.
“I spent 8,000 rupees on a pillow to fix a problem that was a 4.30pm filter coffee.” — Vignesh Prabhu, Chennai
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