PUBLISHED ON:

Jun 16, 2025

Default Labels vs. Custom Labels in Jira: What’s Best for Your Team?

Default Labels vs. Custom Labels in Jira: What’s Best for Your Team?

Resources

Effective management in Jira hinges almost entirely on clear organization, and labels play a pivotal role in ensuring everything stays that way. While some people stick with Jira’s default labeling system throughout their entire career, others choose to upgrade almost immediately. 

But when should you make the switch from default labels to custom labels? 

Key differences between default labels and Advanced Label Manager for Jira (Custom Labels & Reports)

Let’s first understand the main differences between Jira’s default system and a custom label manager like Advanced Label Manager for Jira (Custom Labels & Reports)

  1. Setup and implementation

The first key difference between the two systems is the amount of setup and implementation involved. Jira’s default system is immediately available on the platform. Teams can begin creating and assigning labels right off the bat without any additional setup. 

Add or delete Jira labels in the labels field of the issue brief - Narva Software

Add or delete Jira labels in the labels field of the issue brief

In contrast, Advanced Label Manager for Jira (Custom Labels & Reports) requires an admin to install and configure it across projects. 

Depending on the type of project you have, you may need more time to set up Advanced Label Manager for Jira (Custom Labels & Reports), which makes it harder to implement for non-tech savvy people.

  1. Management and control

Default labels can only be created within an issue, and there is no overview of how many labels are used at any given time. This is perfectly acceptable for small teams or solo developers who may have 10 to 50 labels at most. 

Advanced Label Manager for Jira (Custom Labels & Reports) transforms this experience by providing a centralized dashboard where teams can create and view labels, track usage, and perform bulk operations. 

  1. Custom fields

The default Jira ecosystem allows users to create custom fields where you can add text, numbers, or dates. You can also set up drop-down lists and add checkboxes. 

Advanced Label Manager for Jira (Custom Labels & Reports) takes it one step further by allowing you to add color by using ‘Colorful Labels’, a custom field meant for adding colored labels to your issue. 

3. Label reporting and tracking

Jira currently offers basic reporting for default labels via its Labels Gadget. However, the gadget will soon be phased out. 

For teams who still want label reporting functions, Advanced Label Manager has a drag-and-drop labels report available via the dashboard that allows teams to track label usage and monitor issue distribution. 

When to Use Default Labels by Jira?

Jira’s default labeling system is lightweight. It is a built-in feature designed to be simple and flexible. While it doesn’t have advanced features, it’s still a practical choice when you’re running lean operations. 

  1. Start-ups in early development

Young companies that are focused on minimum viable products (MVP) won’t be tracking multiple issues across multiple teams, hence Jira’s default labels provide the perfect simplicity. 

There’s zero setup time and immediate availability, which means teams can start organizing issues right off the bat without additional costs or training. 

  1. Small teams focused on simplicity

If you have a small, self-contained team of 10 people or less, you will benefit from the instant, zero-fuss nature of default labels. Tight-knit teams can communicate directly without getting distracted by additional administrative work

  1. Short-term projects with limited complexity

Default labels are perfect for one-and-done projects under 6 months long. The limited time frame of these projects doesn’t require detailed categorization, complex filtering, or extensive bulk operations because they will be shut down after completion.

  1. Solo developers or freelancers

While sole proprietorships benefit from label organization, there isn’t a need for extensive labeling systems because you are working on a single project by yourself, or you’re working on multiple projects for a short time.

When to Use Advanced Label Manager for Jira (Custom Labels & Reports)

Advanced Label Manager for Jira (Custom Labels & Reports) provides several label management features that don’t appear in Jira’s native system. These features are more suited to larger-scale operations.

  1. Companies looking to scale

Organizations who are in their rapid growth phase will face unique challenges with label management. Projects and issues increase exponentially when the team expands, and as a result, the default labeling system becomes inadequate. 

Having a label manager will help your organization maintain consistency and efficiency while you grow.

  1. Long-term, complex projects

Projects that involve multiple departments, external stakeholders, or cross-functional teams require a streamlined organization. Teams that have extensive workflow automation in place. 

Collaboration on shared issues requires a consistent labeling system for clear communication. Advanced Label Manager for Jira (Custom Labels & Reports) makes it easier to audit labels and maintain labeling consistency.

3. High-volume support operations

Customer service teams that handle hundreds of daily tickets will need robust organization capabilities to track and search issues. Having the ability to create a custom field for colorful labels improves visual organization and reduces response time. 

4. Global organizations with multiple time zones

Multinational companies with asynchronous teams will need impeccable organization and communication. Advanced Label Manager helps such teams to control label sprawl and standardize label usage. Managers and team leaders will find it easier to track issues and problems by using colorful labels and the drag-and-drop label report.

Picking Default Labels or Advanced Label Manager for Your Team

It can be difficult to decide between default labels or Advanced Label Manager for Jira (Custom Labels & Reports). This table compares and contrasts the characteristics of your team and your needs to make the final decision easier. 

Factor

Default Labels

Advanced Label Manager

Team size

1-10 people, a single department, minimal cross-team collaboration

> 10 team members, multiple departments, complex team interactions

Project scope

Short-term projects (<6 months), limited deliverables

Long-term or ongoing projects, concurrent projects, complex deliverables

Issue volume

< 1000 issues

>1000 issues

Reporting needs

Minimal reporting needs

Requires visualization of label usage across projects for management purposes

Label management

< 50 labels, minimal bulk operations required

> 50 labels, needs to audit and clean up labels every few months to ensure proper tracking

Workflow complexity

Linear workflows with a simple approval process, one-to-one communication

Complex workflows with a complicated approval process, cross-team coordination

Growth trajectory

Small and stable team size with a consistent project volume and a limited scope

Growing teams that face increasing project volumes and expanding scopes.

Final Thoughts

Jira’s default labeling system meets basic requirements for smaller teams. However, organizations that have complex projects or want to scale up their operations will benefit from Advanced Label Manager’s features because an increase in organizational complexity requires better label management. 

If you’re looking to scale up efficiently, you should explore Advanced Label Manager for Jira now. 

Related articles

Resources

Clear issue descriptions keep projects moving forward. However, writing them manually takes time and may lead to inconsistencies. Standardized Jira issues solve this problem.

Jun 3, 2025

Resources

Although Jira’s native labeling system has its pros, it also has a few drawbacks, such as its lack of centralized label management.

May 26, 2025