# FigJam tips from the Atlassian design team

Source: https://www.youtube.com/watch?v=qJlSEWE_GZE
Recap page: https://rapidrecap.app/video/qJlSEWE_GZE
Generated: 2025-11-14T18:08:21.799+00:00

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## Quick Overview

Jade Jiang, Senior Product Designer at Atlassian, demonstrates how she integrates FigJam and Jira into her design workflow, focusing on using FigJam for rapid ideation, low-fidelity mockups using basic shapes, and effectively communicating concepts and feedback to engineers before escalating to high-fidelity designs or moving into Jira for execution.

**Key Points:**
- Jade Jiang, a Senior Product Designer at Atlassian, shares her design process utilizing FigJam for ideation and Jira for tracking work.
- She emphasizes using FigJam for rapid, low-fidelity mockups, often employing simple shapes like circles and scribbles to convey concepts quickly.
- Low-fidelity FigJam mockups save time by providing a fast visual artifact for initial feedback before committing to detailed high-fidelity work.
- The team uses FigJam for collaboration, enabling engineers to provide direct feedback on concepts via comments before development begins.
- Jira is used for formal tracking, where agents (like 'Unit Test Creator' or 'Feature Flag Cleaner') can be suggested and assigned to issues based on development needs.
- The process involves moving from rapid FigJam concept validation to more refined mockups, and finally into Jira tickets for actionable engineering tasks.

![Screenshot at 00:05: Jade Jiang begins demonstrating how she uses FigJam as part of her design process, showing a board titled 'Der team ideation workshop - 2hrs total' filled with sticky notes and initial layout sketches.](https://ss.rapidrecap.app/screens/qJlSEWE_GZE/00-00-05.png)

**Context:** The video features a discussion between Jay Dalal and Jade Jiang, a Senior Product Designer from Atlassian, focused on optimizing the early stages of a design workflow. The primary context is demonstrating how Atlassian designers leverage FigJam, a collaborative whiteboarding tool, to quickly iterate on and gather feedback for design concepts before formalizing them into high-fidelity designs or engineering tickets within Jira.

## Detailed Analysis

Jade Jiang details her design process, which heavily incorporates FigJam for fast concept validation. She prefers starting with low-fidelity explorations in FigJam, using basic elements like colored shapes and scribbles to communicate ideas, stating this saves time compared to jumping straight into high-fidelity tools or Jira. She shows examples of these low-fidelity flows, where concepts are quickly sketched out. She also highlights the ability to use FigJam to gather feedback from stakeholders and engineers directly on the canvas, such as using comments within FigJam to discuss issues related to a specific design element before it becomes a formal Jira ticket. When moving towards execution, she shows how Jira issues are structured, noting that the development section within a Jira ticket can suggest relevant 'Agents' (AI tools or predefined actions) like 'Unit Test Creator' or 'Feature Flag Cleaner' to automate parts of the task, which helps ensure the team has a clear sense of the task's status and scope. The goal is to use FigJam for rapid iteration and alignment, ensuring that when engineers pick up the work, the concepts have already been vetted and clarified, potentially saving 30 minutes to an hour of rework.

### FigJam for Rapid Ideation

- Using basic shapes and scribbles for low-fidelity mockups
- Aiming for quick concept validation over high fidelity early on
- Communicating ideas visually before formal documentation.

### Workflow Integration

- Using FigJam for initial feedback and discussions with engineers on Slack
- Moving validated concepts into Jira for formal tracking and execution.

### Jira Automation & Agents

- Demonstrating the 'Development' section in Jira where suggested AI agents (e.g., Unit Test Creator, Feature Flag Cleaner) appear
- Using these agents to quickly assign tasks or automate parts of the workflow based on the ticket type.

![Screenshot at 00:00: The introductory view of the FigJam board titled 'Der team ideation workshop - 2hrs total' with both hosts visible.](https://ss.rapidrecap.app/screens/qJlSEWE_GZE/00-00-00.png)
![Screenshot at 00:08: A section of the FigJam board displaying several clusters of colorful sticky notes and shapes, representing different ideation stages.](https://ss.rapidrecap.app/screens/qJlSEWE_GZE/00-00-08.png)
![Screenshot at 00:33: Jade shows a low-fidelity mobile wireframe mockup created using basic shapes and color blocks within FigJam.](https://ss.rapidrecap.app/screens/qJlSEWE_GZE/00-00-33.png)
![Screenshot at 01:21: A close-up of a low-fidelity wireframe on the FigJam board, illustrating how simple UI elements are sketched out.](https://ss.rapidrecap.app/screens/qJlSEWE_GZE/00-01-21.png)
![Screenshot at 02:50: A split screen showing the FigJam automation rule setup on the left and a comparison example for 'Dead code removal' on the right.](https://ss.rapidrecap.app/screens/qJlSEWE_GZE/00-02-50.png)
![Screenshot at 03:05: A view of a Jira issue open, showing the details panel and the 'Development' section with suggested AI agents.](https://ss.rapidrecap.app/screens/qJlSEWE_GZE/00-03-05.png)
![Screenshot at 03:27: Jade points out how feedback can be gathered directly within FigJam, illustrating collaborative annotation.](https://ss.rapidrecap.app/screens/qJlSEWE_GZE/00-03-27.png)
![Screenshot at 04:57: Jay Dalal wraps up the session, gesturing with his hands while encouraging viewers to comment with future topic suggestions.](https://ss.rapidrecap.app/screens/qJlSEWE_GZE/00-04-57.png)
