---
title: "Defect Tracking"
slug: "defect-tracking"
tags: ["Defect Tracking", "Getting started"]
updated: 2024-10-24T09:21:04Z
published: 2024-10-24T09:21:04Z
canonical: "support.tulip.co/defect-tracking"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://support.tulip.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Defect Tracking

## Purpose

Defect tracking is essential to the identification of root cause in nearly every manufacturing operation. Ditch those Excel sheets, paper forms, and manual data entry with a dedicated application to streamline and stabilize the data collection process.

Tulip can support every part of the process for building out a robust defect tracking *machine*. Users can collect data in a dedicated (or integrated) app, stored to Tables, and analyzed with Analytics.

## Overview

This Functional Example will cover the core concepts needed to understand how to approach Defect Tracking within Tulip. This documentation and the Apps associated with it aren't intended to be run in production, but rather as tools to teach all of the core concepts and approaches needed to achieve this use case.

## Explore the Content

This documentation folder should give you enough information to understand.

### [App Architecture](https://support.tulip.co/r230/docs/defect-tracking-app-architecture)

Success starts with the right interfaces for your users. The app architecture will talk you through the existing app architecture, and provide recommendations on how apps could be configured to empower your workforce.

### [Data Model](https://support.tulip.co/r230/docs/defect-tracking-data-model)

Getting the data organized in a scalable way is essential to driving business decisions at lightning speed. This document will walk you through the recommended data architecture to drive value.

Data models **are never** one-size-fits-all. With Tulip we make it incredibly easy to extend a core data model to fit your process needs. The data model is followed throughout this Functional Example is a great starting point, but won't perfectly fit your needs (or anyone else's).

### [Extend the Concept](https://support.tulip.co/r230/docs/defect-tracking-extend-the-concept)

Functional Examples are intended to stand alone but much of the value of Tulip comes when you incorporate the concepts of order track with others.

*This document* will walk through some opportunities to extend defect tracking to drive even more business value, without tons of extra work.

**Tulip Tables**

**Tulip Tables** are a global location to store your production data. Tables are made up of Records (rows). A single can be accessed from multiple apps or stations at the same time.

![](https://cdn.document360.io/7c6ff534-cad3-4fc8-9583-912c4016362f/Images/Documentation/Tulip%20Tables%20Overview%20-%20Feature%20Overview.gif)

**Analytics**

**Analytics** are live updating graphs and metrics calculated based on app data, Table data, and machine data. Analytics can be embedded and dynamically filtered within an application.

![](https://cdn.document360.io/7c6ff534-cad3-4fc8-9583-912c4016362f/Images/Documentation/image-1662410510869.png)

**Functional Example**

**Functional Examples** are intended to explain the right approach to core Tulip use cases. Functional example applications cover the core applications, their underlying data models, and ways those concepts can be extended when combined with others.

*Functional Example apps aren't intended to be run in production, but rather as tools to learn the underlying concepts needed to implement core Tulip use cases.*