I Tracked My Alarm for 30 Days. The Number Was Embarrassing.
A month of logging every morning produced one surprising finding: the days I failed had almost nothing to do with how tired I was.
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I started using DontSnooze in January for a simple reason: I wanted to stop lying to myself about how often I actually woke up when I planned to.
December had been bad. I was setting alarms for 6:15 AM with genuine intention, then waking up at 8:05 feeling inexplicably surprised. By the end of the month I’d developed a talent for reconstructing plausible narratives about why each particular morning had been the exception. The cold. The bad sleep. The unusually good dream.
So I logged it. Every morning in January, in a spreadsheet, I recorded: planned wake time, actual wake time, whether I’d looked at my phone the night before while setting the alarm, how long I’d been asleep, and one sentence about what I had planned for the morning. Nothing elaborate. Just the numbers.
The embarrassing number
On 11 of 30 mornings, I woke up within 5 minutes of my alarm. That’s 37%.
I’d been telling myself I was a “mostly okay” waker. 37% is not mostly okay. It’s worse than a coin flip, but not by much, and the 50% framing made it feel worse.
The number I’d been running in my head — the subjective impression of my own reliability — was somewhere around 70%. The gap between perceived performance and actual performance was 33 percentage points. This is apparently common: Tim Pychyl at Carleton University has spent a career studying the discrepancy between people’s stated intentions and their observed follow-through, and one of his consistent findings is that people are systematically overconfident about future-self compliance. We imagine tomorrow’s self as more disciplined, more rested, and more motivated than today’s self has any right to be.
What the data didn’t say
Before logging, I assumed the successful mornings would correlate with the well-slept ones. I was tracking sleep time, so I could test this directly.
The correlation was weak. Seven hours versus six hours of sleep predicted my wake-up compliance about as well as flipping a coin. Some of my worst mornings followed eight hours of sleep. Some of my best followed five and a half.
The variable that turned out to matter — and this is the part I hadn’t expected — was what I’d written in the “what I have planned” column. On the 11 successful mornings, 8 had a specific, named task in that column (“finish the Hendricks proposal,” “run before the rain, 5 miles”). On the 19 failed mornings, 14 had something generic (“work,” “gym,” “be productive”).
A specific purpose. That was it.
I’m not making a grand causal claim here. This is 30 data points and my own recording, with obvious potential for confirmation bias. I might have written vague purposes on nights when I was already planning to drift. But the pattern was striking enough that I changed my behavior based on it, and the change held.
What I changed
February: I started writing a one-sentence purpose for the morning in the notes field of my alarm. Not “gym” but “upper body, 45 minutes, before the 9am call.” Not “work” but “finish first draft of the Barlow section before anything else.”
February result: 19 of 28 mornings within 5 minutes. 68%.
March: I kept the practice and added one variable — I texted the purpose to a friend the night before, something I’d been skeptical about. The theory, as Tim Pychyl would describe it, is that the social expectation creates a mild accountability cost that shifts the cost-benefit calculation at the moment of decision.
March result: 23 of 31 mornings. 74%.
I stopped tracking rigorously after March, because the practice had become normal enough that logging felt like maintenance I no longer needed. I have no clean final number.
The limitation I can’t get past
This entire experiment has an obvious flaw: I knew I was being watched (by myself). There’s a reasonable argument that any tracking improves performance simply by creating awareness, regardless of what the numbers actually show. I can’t rule this out. The purpose-naming effect might be real, or it might be a proxy for “nights when I was paying attention.”
What I can say is that when I stopped naming purposes for a week in March — just to see — my compliance dropped to 4 of 7. That’s suggestive, not conclusive.
What I also noticed: the mornings I failed were not the ones where I felt tired or reluctant the night before. They were the ones where I felt fine — confident enough to skip the ritual of writing a purpose, because surely I’d wake up anyway. Overconfidence, it turns out, is a better predictor of failure than fatigue.
Pychyl calls this “temporal self-appraisal” — the tendency to see future selves as more capable. The antidote, in his research and apparently in my apartment in February, is specificity. Not wanting something more. Being precise about what you’re waking up to do. If you want the systematic version of what I was feeling my way toward, the eight variables that actually predict alarm compliance formalizes purpose-naming as one of eight testable factors — and adds several I hadn’t considered. For a ready-to-use sequence to implement them, six steps for waking up to your alarm is the practical companion.
FAQ
Is 37% a typical wake-up compliance rate? There’s surprisingly little published data on alarm compliance rates for non-clinical populations. Self-report surveys typically show people estimate their own compliance much higher than behavioral logs suggest. The honest answer is: most people don’t know their actual rate, and it’s probably lower than they think.
Does the specific-purpose technique work for everyone? Unknown. The mechanism (implementation intentions — planning not just the goal but the immediate next action) has strong research support in other contexts (Gollwitzer & Brandstätter, 1997 in Journal of Personality and Social Psychology). Whether it generalizes to wake-up compliance specifically would require a controlled study I’m not aware of.
What’s the easiest way to track alarm compliance? Any notes app, a spreadsheet, or even a paper log. The critical columns: planned wake time, actual wake time. Everything else is optional.
Did the social component (texting a friend) add meaningfully beyond the purpose-naming? In my data, moving from purpose-naming alone (68%) to purpose-naming plus texting (74%) added about 6 percentage points. Whether that’s a real signal or noise in a 28-day sample is genuinely unclear.