| Case-study type | Merchant growth, checkout, Shop Pay, app ecosystem and commerce workflows. | Developer and merchant infrastructure cases, payments, billing and API tradeoffs. |
| Product-sense framing | Merchant jobs-to-be-done, buyer conversion and operational simplicity. | Precise user, problem and constraint definition before solutioning. |
| Analytics depth | GMV, conversion, merchant retention, payment success and buyer experience. | Reliability, conversion, fraud, payment success and merchant outcomes. |
| Leadership signal | Life Story, autonomy, directness and shipping judgement. | Written clarity, user empathy, craft and ownership. |
| On-site rounds | Life Story, craft, case or execution and leadership conversations. | Product, analytical, execution, cross-functional and values style rounds. |
| Take-home | Often live case or craft review rather than long take-home. | Possible written exercise or case prep depending on team. |
| Level calibration | Merchant impact, autonomy and product judgement. | Infrastructure scope, API quality and cross-functional influence. |
| Decision speed | Remote and direct, often quicker. | Can be measured and writing-heavy. |