How many times have you stared at a Jira ticket, looked at an 'Impact' score and a 'Probability' score, and had to mentally multiply them to figure out if you should panic?
The wait is finally over: Native Formula Custom Fields have arrived in Jira Cloud (New Feature: Formula Custom Fields in Jira Cloud! ).
For many teams, this is a game-changer. But for power users with complex workflows, the "happy path" of native formulas might not be enough. Real-world data is messy, and that is where the distinction lies.
To help you decide which tool fits your needs, letβs look at a real-world use case and compare how you solve it with the Native field vs. the Advanced Formula field from Awesome Custom Fields (Marketplace).
Impact * Probability). It sounds simple, but in the real world:Missing Data: Sometimes 'Probability' is empty (null).
Defaults: If a value is missing, you want it to default to 1, not break the formula.
Logic: You need conditional logic to handle edge cases.
With the new native Jira Formula field (currently in Beta), you can handle the "happy path" in your projects.
The Setup: You enter a simple calculation: {Impact} * {Probability}.
The Result: You get a number. You can even color-code the background (e.g., Red background for high scores).
The Catch:
No Conditional Logic: Currently, you are limited to basic math operators. You cannot write IF/ELSE statements or ternary operators (e.g., "If Score > 50..."). You have to wait until Spring 2026 for logical functions.
Limited Scope: You cannot access values outside the issue (like subtasks).
Project Availability: Currently limited to Team-Managed projects.
Verdict: Perfect for quick, simple arithmetic where data is always clean.
When you'r looking for robustness, you need your field to behave like code rather than a calculator, you may choose Awesome Custom Fields.
The superpower here is Jira Expressions.
The Setup: Instead of basic math, you write a robust expression.
Example: (issue.customfield_1001 || 1) * (issue.customfield_1002 || 0)
The Power:
Null Safety: You can handle empty fields gracefully so your reports never show errors.
Complex Logic: Use ternary operators, extensive math functions (floor, ceil, abs), and list manipulation.
Nested Data: You can access deep object properties that native fields can't reach.
The Result: A rock-solid, calculated number that handles the messy reality of your Jira data.
Verdict: Essential for standardized, logic-heavy workflows where data integrity matters.
Here is a quick cheat sheet to help you choose the right tool:
| Feature | Jira Native Formula Field | ACF Advanced Formula |
| Calculation Engine |
β οΈ Basic Math ( |
π Jira Expressions (Code-like syntax, Null-checks, Map/Reduce) |
| Logic (If/Else) |
ποΈ Planned (Spring 2026) |
β Available (Ternary operators & conditionals supported now) |
| Company-Managed Projects |
ποΈ Planned (Late Spring 2026) |
β Available (Standard Custom Field) |
| Cross-Issue Access |
β Missing (Single issue scope only) |
β Available (Access nested properties) |
| Visual Output |
β Color Coding (Background color based on value) |
β Color Coding (Background color based on value) |
| JQL Search Support |
ποΈ Planned (Spring 2026) |
β Available (Filter issues based on results) |
| Product |
Jira Discovery |
Jira Software, Jira Service Management |
It is exciting to see native formulas finally land in Jira! For simple sums, they are fantastic. But when you need the power of Jira expressions to handle nulls, complex logic, use data outside the current workitem, ACF is the robust engine you are looking for.
Have you tried the new native formulas yet? Let me know in the comments! π
Paul Pasler
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