The Feynman Technique for AI Product Managers
The Feynman Technique, developed by physicist Richard Feynman, is a valuable method for AI product managers to grasp complex AI concepts better and communicate them effectively to both technical and non-technical audiences.
Here's how you can use it:
Choose an AI Concept
Pick a specific AI topic you want to learn more about, like a new ML algorithm, a part of NLP, or the basics of a particular AI feature.
Explain it Simply
Imagine you're explaining this topic to a new team member who knows some technology basics.
Write a clear and simple explanation, as if you're creating a training guide.
This helps you break down the topic and find any assumptions you've made.
Find Your Gaps
While writing, you'll notice parts where your understanding isn't clear.
These gaps show what you need to learn more about.
Do more research to strengthen your knowledge in these areas.
Simplify the Jargon
Rewrite your explanation without using technical jargon.
AI has many complicated terms, so aim to explain things in a way that non-technical people, like a product designer or marketing manager, can understand.
Use Analogies
Use analogies to make complex AI ideas easier to understand.
For example, explain a recommendation system by comparing it to a friend suggesting movies you might like.
By following these steps, AI product managers can:
Solidify Their Knowledge: Teaching the material helps you understand the core concepts better.
Communicate Clearly: Being able to explain complex topics simply is important for getting support from various stakeholders.
Identify Learning Needs: The process reveals areas where you need more knowledge, guiding your future learning.
The Feynman Technique helps AI product managers become users of AI technology and true experts in its potential.
Source: LinkedIn Post