Overview

The gadget works in three layers. Understand the layers and the rest of the configuration is straightforward.

Layer	What It Is	How Many
Variables	Named aggregations over Jira issues, called `a` through `i`. Each has its own data source and JQL	Up to 9
Formulas	Math expressions over those variables	As many as you need
Displays	How each formula's result is rendered	One mode per formula

A Worked Example

To show escaped defect rate - bugs found in production as a percentage of all bugs:

Variable a: Count of work items, JQL type = Bug AND labels = production
Variable b: Count of work items, JQL type = Bug
Formula: a / b * 100, suffix %, 1 decimal
Display: gauge, 0 to 100, green under 5, amber to 15, red above

The result is a single number your leadership can read, computed from two completely independent queries.

Why Separate Data Sources Matter

Each variable resolves its own scope. That means one formula can compare different projects, different time windows, or different issue types - something no single-query gadget can do.

Comparison	How
This sprint vs. last sprint	Two variables, two sprint-scoped JQL queries
Team A vs. Team B	Two variables, two project or component scopes
Bugs vs. stories	Two variables, two issue-type filters
Actual vs. target	One variable plus a constant in the formula

Feature	Description
9 Variables	Named `a` to `i`, each independently scoped
5 Aggregations	Count, Sum, Average, Minimum, Maximum
Full Function Library	Arithmetic plus rounding, logs, conditionals, and aggregate functions
4 Display Modes	Number, number colored by value, gauge chart, and star rating
Color Rules	Value ranges that drive the color of the result
Card Layout	Multiple formulas laid out as cards in one gadget

Data Sources

Every variable supports Projects, Board, Saved Filter, Custom JQL, and Dynamic Filter Controller - chosen per variable, not once for the gadget.