AI for Product Analysts

Prompt Course for Product Analysts: From Metrics to Stories

1. The lessons

   1. Metric Definition Basics: Draft clear success metrics and KPIs so a product team can agree on what a feature should achieve.
   2. Data Exploration & Behavior: Use AI to shape queries and interpret user behavior patterns from funnels, events, and session data.
   3. Cohort & Segmentation: Define and compare user segments so you can find which groups behave differently and why.
   4. A/B Test Planning: Plan experiments with clear hypotheses, sample sizes, and success criteria before you launch.
   5. A/B Test Analysis: Interpret experiment results and check for pitfalls so you can trust the outcome before sharing it.
   6. Dashboards & KPI Monitoring: Design dashboards and monitoring rules that keep product KPIs visible and trustworthy.
   7. Insights Reports & Storytelling: Turn analysis into persuasive insight reports that connect data to product decisions.
   8. Product Recommendations & Forecasts: Translate data into recommendations and forecast product trends with AI as a thinking partner.
   9. Analyst Documentation & Requests: Handle recurring analyst admin: document methods, triage ad hoc requests, and keep definitions consistent.
2. What the Course Covers

   The course walks through nine lessons in order. You start with metric definition and end with documentation and ad hoc requests.

   Each lesson gives you prompts to use with your AI tool. The prompts are written for real product analyst tasks.

3. How the Lessons Connect

   The lessons build on each other. Metric definition sets the foundation, then you explore behavior, segment users, and plan experiments.

   Later lessons help you monitor KPIs, tell stories with insights, and make recommendations. The final lesson covers the admin work that keeps definitions consistent.

4. How to Use the Prompts Well

   Treat the prompts as starting points. Add your own context, like the product area and the decision you need to support.

   Always check the AI's output against your data and your judgment. The prompts help you think, but you are still the analyst.

5. Who This Course Is For

   This course is for product analysts who want to work faster and more confidently with AI. It is also useful for anyone who supports product decisions with data.

   You do not need to be a coder. If you can write a clear question, you can use these prompts.

6. Safety and Privacy

   Never put sensitive user data into a public AI tool. Use anonymized or aggregated data when you can.

   Follow your company's rules about data handling. The course will remind you to check before you share.

7. Your Next Step

   Pick one lesson that matches a task you have this week. Try the prompt and see how it changes your process.

   Then move through the rest of the course at your own pace. The more you practice, the more natural it becomes.