This database manages factory employee time tracking more effectively than static spreadsheets. It acts as a central system to record shift details, calculate hours worked automatically, and monitor attendance across departments like Warehouse and Assembly Lines.
The structure connects two key tables: "Users" for managing employee profiles, roles, and hourly rates, and "Time entries" for logging specific shifts. Fields like start/end times ensure accurate duration calculations, while linked records connect every shift back to the specific employee, keeping data organized and relational.
It includes built-in AI capabilities to enhance safety oversight. The "Safety & Compliance Check" field uses Database AI agents to analyze daily work notes, automatically flagging potential machinery issues or safety risks without manual review.
Spreadsheets often fail when multiple employees try to log time simultaneously, leading to broken formulas, accidental overwrites, and data integrity issues.
Unlike Google Sheets, Softr Databases enforce strict data types, ensuring dates remain dates and shift durations are calculated automatically without fragile formulas. Relational connections link employees to their specific time logs natively, eliminating the need for complex VLOOKUPs that often break as data grows. The structure ensures one table equals one object, keeping your employee data distinct from their daily logs while remaining perfectly connected.
This template includes an approval workflow system, allowing managers to mark entries as "Pending," "Approved," or "Rejected" with a simple status update. Additionally, the integrated AI automatically reviews text in work notes to identify safety hazards, turning raw data into actionable safety insights immediately—something a standard spreadsheet cannot do.
Manage factory employees with roles, department links and active status
Log employee shifts with AI-powered safety and compliance risk detection
This template is designed for operational teams needing accurate time tracking and safety monitoring:
You can easily adapt this template to your specific operations. For example, add a "Break Time" field to subtract duration from the total hours or update the "Department" options to match your specific facility zones.
Move away from Google Sheets quickly by importing your current employee roster via CSV. This allows you to populate the "Users" table immediately and start tracking new shifts within minutes.
The true value unlocks when you build a custom interface on top of this database. You can create a mobile-friendly employee portal where staff can log their own time, while managers see a separate dashboard for approvals. With interface builder tools and granular users and permissions, you ensure employees only see their own history while admins manage the full team.
A timesheet database is a structured tool to record, track, and manage employee work hours and shift details using relational tables. Unlike paper or simple spreadsheets, it calculates durations automatically and links shifts to specific employee profiles for accurate payroll reporting.
No-code databases offer the structure of professional software without requiring engineering resources. They prevent data errors common in spreadsheets—like invalid date formats—and allow you to build scalable workflows that grow with your team without technical debt.
In this template, Database AI agents automatically analyze work notes to detect safety risks or equipment issues. This turns routine time logging into a proactive safety compliance tool, saving managers from reading every single note manually.
Yes, using Softr's interface builder, you can turn this database into a secure app. You can create login portals where employees clock in and out, while managers access a secure backend to review and approve timesheets.
Yes, this template is completely free to copy and use. Softr's free plan includes database usage, allowing you to start tracking time and managing your team immediately without cost.
Google Sheets lacks structure enforcement, meaning users can accidentally delete formulas or enter text in date columns. This database enforces strict field types, supports native image attachments for profiles, and handles relationships between users and shifts robustly, preventing the chaos of shared spreadsheets.