Automatic Time Mapping
AI-powered feature that automatically assigns captured activities to projects and clients based on learned patterns. Reduces manual categorization by intelligently matching documents, emails, and applications to appropriate time entry categories.
Last updated: 2026-03-18 22:22
Overview
Automatic time mapping uses artificial intelligence and machine learning to automatically categorize tracked activities into appropriate projects, clients, and tasks. The system learns from user behavior to intelligently assign time without manual selection, dramatically reducing administrative overhead.
How It Works
- Activity Capture: System tracks documents, applications, websites used
- Pattern Recognition: AI identifies connections between activities and projects
- Automatic Assignment: Activities mapped to appropriate categories
- User Confirmation: User approves or corrects automatic assignments
- Continuous Learning: System improves accuracy with each correction
Learning Signals
- Document names and file paths
- Email subject lines and recipients
- Website URLs and page titles
- Application usage patterns
- Time of day and day of week
- Historical manual assignments
Benefits
- Time Savings: Eliminate manual project selection
- Higher Accuracy: Consistent categorization
- Better Adoption: Remove friction from time tracking
- Complete Data: Nothing falls through cracks
- Passive Tracking: No active user input needed
Accuracy Improvement
- Initially 60-70% accuracy
- Improves to 85-95% with usage
- Learns individual work patterns
- Adapts to changes over time
- Handles complex multi-project workflows
Use Cases
Consultants
Automatically map client emails and documents to respective projects
Developers
Assign GitHub repos and IDEs to correct development projects
Designers
Connect Figma files and Adobe apps to design projects
Writers
Map Google Docs and research sites to content projects
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