Quality Control Database Template

Track quality checks in real time and eliminate costly data errors.

Categories

Database
Manufacturing
Google Sheets
Internal tool
Dashboard & Reporting
Business Ops/Finance

Summarize with AI

Your Quality Control Database at a glance

This Quality Control template helps you track inspections, monitor batch statuses, and manage defect severity securely. It brings your entire manufacturing QA process into a single, structured system without the chaos of spreadsheets.

The database organizes your data into dedicated tables for Products, Batches, and individual Test Results. When an inspector logs a new test—like a pH level or weight check—it connects directly back to the specific production batch automatically.

Why quality control gets messy in Google Sheets

Tracking critical defect rates and test results in Google Sheets quickly becomes a liability. Rows get accidentally overwritten, test photos get lost in messy cells, and maintaining a clear audit trail as your volume scales is nearly impossible.

What a structured database changes

Instead of relying on fragile VLOOKUPs to connect a failed test log to a specific production batch, a structured database links everything naturally. One table equals one object, keeping your data entirely organized and app-ready.

Every column enforces strict formatting, meaning pass/fail statuses stay consistent and inspector files are properly logged in attachment fields. This is exactly what Softr Databases are designed for, preventing data contamination on your shop floor.

What you can do with this template

You can instantly standardize how Test Results are recorded by categorizing them by defect severity natively. Teams can attach photos directly to the record, keeping visual proof tied cleanly to the inspection.

It also allows managers to automatically calculate the total number of quality checks performed on a given batch using simple math rollups. You get a reliable, production-ready QA system from day one.

Tables for Quality Control Database

  • Users

    Manage system users including inspectors and managers with roles and avatars

  • Products

    Maintain details of manufactured items with technical specs and safety sheets

  • Batches

    Monitor production runs with release statuses and linked quality check counts

  • Test Results

    Record detailed inspection outcomes including defect severity and media evidence

Who is this Quality Control database for

This flexible database provides immediate structure for any team managing physical production, lab testing, or manufacturing standards.

  • Quality Inspectors: Log visual inspections, stress tests, and attach defect photos directly to real-time production records.
  • Production Managers: Review overall batch release status and track defect severity trends at a single glance.
  • Compliance Teams: Maintain a clean, historically accurate audit trail of every test result tied seamlessly to specific SKUs.

How to take it further

You can easily customize this database to fit your exact manufacturing tolerances. Simply edit the select fields to add custom test types, or adjust the defect severity levels to match your internal operational standards.

If you're currently tracking QA data elsewhere, you can seamlessly pull it in. Just upload a CSV to map your existing products and previous batch histories directly into these structured tables instantly.

When your operations grow, you can build an app on top of this data to serve as a secure inspector portal. This gives line workers a clean interface on their tablets to log test results without seeing the entire backend database.

Using granular users and permissions, you can ensure that inspectors only edit their own assigned tests while managers approve final batches. A well-structured database makes launching these custom operational apps completely effortless.

How to use the Quality Control Database template

  • 1
    Click Use template: Sign up or log in to your Softr account (it’s free, no credit card required!)
  • 2
    Fine-tune the database: Adjust fields, options, and , settings so the database matches your specific needs. You can rename fields, change select options, or modify default values.
  • 3
    Add your data: Replace the mock content with your own and information. You can add data manually or import it quickly o cr via CSV.
  • 4
    Build an app on top of your database: Create a Softr app on top of this database to have a custom interface where users can log in, view data, and collaborate.

Frequently asked questions

  • What is a quality control database?
  • Why use a no-code database to build a quality control tool?
  • How can AI help managing data for quality control?
  • Can I build an app with this quality control database?
  • Is this Quality Control template free?
  • Why is tracking quality control in Google Sheets a bad idea?

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