AI for Product Managers: Best Practices, Benefits, and Tools

Artificial Intelligence for Product Managers is becoming an increasingly demanding assistive technology to help build better products. The power of AI in product management comes in with the ability to analyze incredibly large amounts of data and simplify them using cutting-edge tools and APIs like OpenAI, ChatGPT, or Google Bard.

If you are a product manager, either at a group-level or in a startup, you are making a number of large, micro, and important decisions every day. These decisions are based on the data you have right now, or from the past.

→ What if you can make better decisions faster, without having to make a number of data points before deciding on the next step?

→ What if you can just ask "What should I focus on next to increase retention by 20% this quarter?" and get an answer in a few seconds instead of days going through multiple excel sheets and data points?

→ What if you can have an assistant that has super fast and near-accurate decision-making skills, and can help you make better decisions faster? You would be free from the mundane tasks right? You would be investing your time in making important decisions backed by data, much faster, right?

This is where AI comes in. AI can help you make better decisions faster, and help you focus on the important tasks that matter.

What is AI for Product Management?

Best Practices for AI in Product Management

Ask the right product questions

Product Managers are responsible for overseeing the entire product cycle, from concept to launch and beyond. To make informed decisions, they need data-driven insights. AI can play a crucial role in this process by providing valuable insights and answers to the questions they ask. By leveraging AI, Product Managers can make better decisions, ultimately leading to the success of their products.

1. Start with a clear goal
2. Use AI to identify what to focus on
3. Use AI to process large amounts of data points