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Here's a list of old episodes in date order! There have been some great conversations so feel free to binge them all!

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Episode 228 - Why Product Managers Should Care About Behavioural Science (with Yael Mark, Behavioural Design Product Consultant)

Behavioural Science
Cognitive Bias
Product Design
Product Ethics
 

Episode 228: Why Product Managers Should Care About Behavioural Science

Yael Mark, Behavioural Design Product Consultant

18 November 2024

18 November 2024 Yael Mark head shot

Listen here!


Content Warning - May Contain Adult Language or Themes
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About the Episode

Yael Mark is a behavioural scientist turned product manager, who is passionate about helping others unlock the power of user-centred product design by embracing behavioural science. She believes that understanding human behaviour and cognitive biases can drive better product decisions and stakeholder alignment, as well as make sure we do it ethically.

Episode highlights:


1. Behavioural science helps product managers design for real-world users

Behavioural science is the study of how people think, act, and interact with their environments. By understanding human "bugs" and irrational behaviours, product managers can create products that align with user needs, addressing pain points inside and outside the app.

2. Ethics matter when applying behavioural science

It's important to align behavioural tactics with user goals. Ethical applications, like encouraging language learning with Duolingo streaks, contrast with manipulative design patterns that exploit users for profit without delivering real value.

3. Cognitive biases can be leveraged for better product outcomes

Cognitive biases are the shortcuts our brains take to help us make decisions. Common biases like anchoring, cognitive dissonance, and the sunk cost fallacy have an impact in product decisions. For example, Amazon Prime uses cognitive dissonance to encourage consolidated deliveries, appealing to users' environmental consciousness while reducing costs.

4. AI offers opportunities and challenges in behavioural science

AI can accelerate behavioural research by simulating user responses, though it is not yet capable of replicating cognitive biases fully, even when told to exhibit them. However, biases in AI training data may introduce new challenges, requiring vigilance in its application.

5. You can prove the ROI of behavioural science through small wins

Some people will be sceptical, so it's important to tie behavioural science theory to measurable KPIs and you can use A/B testing to demonstrate value. Not everything has to be a big development effort. Even reworking copy to focus on gains instead of losses can drive changes in user behaviour.

Contact Yael

You can find Yael and learn more on YouTube at ProductBS or connect with her on LinkedIn