![Building A Digital PR Strategy: 10 Essential Steps for Beginners [With Examples]](https://buzzsumo.com/wp-content/uploads/2023/09/Building-A-Digital-PR-Strategy-10-Essential-Steps-for-Beginners-With-Examples-bblog-masthead.jpg)
![How One Brand Solved the Marketing Attribution Puzzle [Video]](https://contentmarketinginstitute.com/wp-content/uploads/2025/03/marketing-attribution-model-600x338.png?#)
![How to Use GA4 to Track Social Media Traffic: 6 Questions, Answers and Insights [VIDEO]](https://www.orbitmedia.com/wp-content/uploads/2023/06/ab-testing.png)
![[Hybrid] Graphic Designer in Malaysia](https://a5.behance.net/920d3ca46151f30e69b60159b53d15e34fb20338/img/site/generic-share.png)
EP78 Feature Definitions are the Foundation of Effective AI Application
In this conversation, Jay Stansell and Conor Joyce delve into the significance of feature definitions in AI applications, emphasizing the need for clear definitions to drive meaningful outcomes.
In this conversation, Jay Stansell and Conor Joyce delve into the significance of feature definitions in AI applications, emphasizing the need for clear definitions to drive meaningful outcomes. They discuss the transition from product-led growth to behavior-led growth, highlighting the importance of understanding user behavior and the role of behavioral science in product development. Conor shares insights on practical frameworks and resources for improving feature definitions and the overall impact of AI in product design.
Takeaways
Feature definitions are crucial for effective AI applications.
Understanding user outcomes is more important than just outputs.
Behavioral science can enhance product development processes.
The tech industry needs to focus more on research and understanding user behavior.
There is a shift from product-led growth to behavior-led growth.
AI should solve real problems rather than just follow trends.
Organizations should not overlook established ML solutions for new AI trends.
Practical frameworks can help improve feature definitions and product outcomes.
Investing time in research can uncover significant growth opportunities.
Career advancement can be achieved by focusing on impactful AI features.
Chapters
00:00 Introduction to AI and Impactful Features
08:03 The Importance of Feature Definitions
12:12 Outcomes vs Outputs in AI
21:18 Behavioral Science in Product Development
30:03 The Shift from Product-Led to Behavior-Led Growth
33:14 AI's Role in Feature Definitions
39:28 Practical Frameworks and Resources for Improvement
