This template replaces messy spreadsheets with a connected system for managing your entire quality assurance process.
It links features directly to test cases, executions, and defects, so testing statuses and bug reports are always traceable.
Built-in AI agents automatically generate detailed testing steps, summarize execution discrepancies, and classify defect severity in real time.
Managing software QA in Excel quickly becomes a headache of disconnected tabs, broken formatting, and missing context.
Instead of fragile formulas, a structured database correctly links test executions to specific product features and assigned developers.
Every column has a strict type, ensuring status dropdowns stay consistent and screenshots attach perfectly to bug tickets. This is exactly what Softr Databases are designed for.
You can log test runs, track actual results against expected outcomes, and assign defects without copy-pasting across rows.
The system instantly auto-evaluates failed tests and assesses bug severity, keeping your pipeline moving efficiently.
Manage QA testers and developers with roles, contact info, and assigned work
Organize high-level product epics and track their total test coverage status
Define test scenarios with AI-generated steps based on functional descriptions
Log test runs using AI to analyze results and detect discrepancies automatically
Track bugs using AI to automatically classify severity from description details
This database is built for product teams needing reliable structure for their QA workflows.
You can easily customize the tables to match exactly how your team works. Modify priority levels, update status choices, or tweak bug severity criteria in seconds.
Move off your current spreadsheets instantly by importing your existing test case history via CSV or API.
When you’re ready, you can wrap a full-stack application around this data to serve as an internal testing portal.
Set custom users and permissions so developers only see bugs assigned to them, while QA managers can access the entire testing overview. A well-structured database makes this next phase of app development effortless.
A QA test cases database is a structured system that tracks your product's daily testing lifecycle. It connects high-level features directly to specific test cases, run logs, and bug reports so critical context is never lost.
Using a no-code database gets your team working immediately without waiting on internal engineering resources. It provides a production-ready, structured environment that you can easily maintain and adapt as your testing processes mature.
AI features like Softr's AI Database co-builder can help you generate tables and write advanced filtering formulas. Additionally, you can use Database AI agents to automatically draft testing steps, analyze test discrepancies, and classify bug severity without any manual data entry.
Yes, you can easily connect this database to Softr's interface builder to create a custom internal team portal. This lets QA testers and developers log in securely and interact only with their assigned test executions and defects.
Yes, this template is completely free to get started. Databases are included in Softr's free plan, with higher-tier plans offering increased record limits as your historical testing data grows. All plans allow for unlimited collaborators.
Excel relies on fragile VLOOKUPs to connect bugs to test runs, meaning relationships break easily as data scales. A database uses reliable, native relational links, enforces strict column types, and allows attaching multiple files seamlessly directly to bug records.
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