Priya's Wednesday, Before and After

Priya, a product analyst at a mid-size e-commerce company.

Priya starts her Wednesday with a familiar task: the checkout team wants to know if the new payment flow is working. Before the course, she would spend hours pulling data and second-guessing which metric to use. Now she opens ChatGPT and types: 'Help me define a success metric for our new checkout flow. The goal is to reduce cart abandonment.' In seconds, she has a clear metric and a way to explain it to the team.

Next, she needs to see how different user groups are responding. She uses a prompt from the cohort lesson: 'Compare behavior of new versus returning users on the checkout page. Show me where they drop off.' The AI suggests a query, and Priya runs it in her analytics tool. She finds that returning users struggle with the new payment step. She notes the insight for the team.

Later, Priya checks the results of an A/B test on the payment button color. She uses the A/B test analysis prompt: 'Help me interpret these results. The test ran for two weeks. Is the difference significant?' The AI walks her through the pitfalls and confirms the result is trustworthy. She writes a short summary for the product manager.

With the time she saves, Priya joins a brainstorming session on a new feature. She also leaves work on time to meet a friend for dinner. The prompts did not do her job, but they helped her do it faster and with more confidence.