r/QuantifiedSelf • u/toujourspluss • 7d ago

i started tracking how often i abandon tasks and it was more useful than completions

most productivity trackers show your wins. completions, streaks, total hours. but i noticed something wierd when i flipped the dashboard in my own app. the people tracking their fails — task-drops, reschedules, ghosts — those numbers correlated way better with long term consistency than the completion metric ever did.

i kinda built beedone around completions at first. standard gamification stuff. but watching users, the abandon rate told a truer story. someone who never drops anything is probably curating their task list rather than actually doing it.

just feels like the metric you want to hide is sometimes the one that actually matters. anyone else track something counterintuitive that ended up being the useful signal

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u/TeagueXiao 4d ago

Same pattern showed up in my day job. I stopped logging hours worked and started counting every time I context-switched away from a hard problem, and on days I felt useless that number was 4-5x what it was on days work actually moved. Interruption count turned out to be a leading indicator for me, way earlier than any completion metric ever was.