Three months in and my reports are meaningless because my categories have turned to mush, how do people keep them usable?
I have been recording everything faithfully. The problem is what I am recording it into.
I started with sensible categories and now have about ninety, because every time something did not fit I made a new one. There is groceries, and supermarket, and food, and household: and I could not tell you what the rule was between them, because there was not one.
The result is that the monthly report tells me nothing. The numbers are spread across categories that overlap and nothing sums to anything I can act on.
Before I start again, what does a category structure that survives actually look like?
@few_buckets_fen · 3w ago · 3 replies
Ninety categories is the standard failure and the fix is the opposite of what feels rigorous: use about eight, and make each one a decision you could actually make.
The test for whether a category earns its place: would you ever change your behaviour based on that number alone? If the answer is no, it is detail, not a category.
Nobody has ever changed anything because household was four pounds higher than last month. People do change things when they see what eating out or transport costs over a quarter.
A structure that survives, roughly:
Eight lines you can read in ten seconds.
The two that matter most are food in versus food out, because that split is genuinely actionable and it is the one people most often blur into a single food category. Your groceries, supermarket, food and household confusion resolves into one line: food in.
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@ninety_categories · 3w ago · 2 replies
Had ninety-one. Now have seven and the reports finally say something.
What made the cut work: I did not reorganise the old data. I picked seven, applied them going forward, and left three months of mush behind. Trying to recategorise history is where this attempt usually dies, because it is hours of work for a report you have already stopped trusting.
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@few_buckets_fen · 2w ago
Leaving the history alone is the right call and people find it very hard. The old data is not worth the evening.
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