# Categorization

> Browse 5 items tagged with Categorization.

## Items

- [AI Automatic Time Categorization](https://timetrack.works/it/items/ai-automatic-time-categorization) — Machine learning system that automatically categorizes time entries based on application usage, file access patterns, email recipients, and calendar events, reducing manual categorization burden and improving data consistency through intelligent pattern recognition.
- [MECE Time Tracking Framework](https://timetrack.works/it/items/mece-time-tracking-framework) — Time categorization principle ensuring entries are Mutually Exclusive and Collectively Exhaustive. MECE structure prevents overlapping categories and gaps, creating accurate data suitable for analysis and decision-making.
- [Productive vs Unproductive Categorization](https://timetrack.works/it/items/productive-vs-unproductive-categorization) — Time tracking feature that categorizes applications and websites as productive, neutral, or unproductive. Provides productivity percentage scores and identifies distraction patterns for behavior improvement.
- [Simplicity in Time Tracking](https://timetrack.works/it/items/simplicity-in-time-tracking) — Core principle that time tracking systems should capture only the level of detail actually needed for decisions, not every possible data point. Advocates for 8-10 categories maximum to force discipline and ensure usability.
- [Hashtag Timer Organization (Horo)](https://timetrack.works/it/items/hashtag-timer-organization-horo) — Horo Timer's project organization system using #hashtags that allows users to categorize timers by project or context, enabling better time tracking analysis and helping understand how time is distributed across different work areas.

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