| Case-study type | Jira, Confluence, developer workflows, collaboration and enterprise adoption. | Merchant growth, checkout, Shop Pay, app ecosystem and commerce workflows. |
| Product-sense framing | Teams, admins, collaboration pain and platform tradeoffs. | Merchant jobs-to-be-done, buyer conversion and operational simplicity. |
| Analytics depth | Activation, seat expansion, retention, collaboration health and enterprise funnels. | GMV, conversion, merchant retention, payment success and buyer experience. |
| Leadership signal | Five Atlassian Values, craft and stakeholder alignment. | Life Story, autonomy, directness and shipping judgement. |
| On-site rounds | Craft, system/product design, values and hiring manager. | Life Story, craft, case or execution and leadership conversations. |
| Take-home | Can include craft or product exercise by team. | Often live case or craft review rather than long take-home. |
| Level calibration | Enterprise SaaS scope and cross-team influence. | Merchant impact, autonomy and product judgement. |
| Decision speed | Templated and usually predictable. | Remote and direct, often quicker. |