The Kahneman Bot | Revenue & Trends

The hottest Substack posts of The Kahneman Bot

And their main takeaways

Designing for the unhappy path in user experiences is crucial for creating user loyalty and retention.
Unhappy path design can trigger a sense of reciprocity in users, leading to positive responses to issues or faults.
Providing what users perceive as unreasonable levels of support can result in long-term loyalty and cost-effective retention strategies.

Behavioral frameworks play a crucial role in product development by focusing on influencing user behavior and decision-making.
Frameworks like EAST, Hooked, and Influence offer practical guidelines for improving products by making actions easy, attractive, and timely.
Models like COM-B and Fogg's Behavior Model help product teams consider the wider environment and factors influencing user behavior.

Subtraction can be more effective than addition in problem-solving. Always ask 'What can we subtract?'
In product development, companies like WhatsApp, Canva, and Apple have succeeded by simplifying their interfaces and products.
To incorporate subtraction in product processes, reduce cognitive load, optimize notifications, and reassess onboarding. Team exercises like 'Subtract the Obvious' and 'Worst Feature Elimination' can help identify what to remove.

Users trust and use algorithms more when they have control over them, despite the benefits algorithms offer.
In product design, be cautious about taking autonomy away from users as it can hinder their happiness and decision-making.
Data-driven products should consider giving users more control over algorithms to improve trust, engagement, and overall value.

To get into tech as a behavioral scientist, consider starting in a junior PM role, transferring internally, working at a startup, or starting your own company.
Before transitioning into tech, make sure you enjoy building software and understand how tech teams work.
Experienced behavioral scientists can enter tech by joining a big tech company as a researcher, rebranding as a data scientist, or joining a tech company that values behavioral science as part of its IP.

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Product squads in tech actively use psychology and behavior science tactics like personalization and defaults to drive metrics.
Top nudges used today include personalization, timely prompts, defaults, and social norms, while scarcity and commitment devices are less common.
Personalization and defaults are perceived as the most effective techniques for driving metrics in tech products, with defaults being notably effective in behavioral science.

The newsletter explores the connection between behavioral science and technology, focusing on how technology uses psychology and behavioral biases.
The author has a diverse background, including training in economics, consulting, working at the UK's Nudge Unit, and being a Product Manager at a tech scale-up.
The newsletter includes insights from a meeting in 2007 between psychologists, notably Daniel Kahneman, and tech leaders, showcasing how tech has integrated behavioral science concepts since the Web 2.0 era.

Deal with disagreement by starting with empathy, bringing evidence, and experimenting towards a solution.
Create a shared sense of purpose to transform disagreement into constructive discussion.
Affirm values, understand different perspectives, and dive into details with an open mind to facilitate changing someone's mind.

Transparency builds trust and engagement with users by showing them how things work behind the scenes.
Operational transparency, like giving clear information on progress or processes, can lead to significant gains at low cost.
Feedback and transparency in various interactions, like customer support or hiring processes, can greatly enhance user satisfaction and engagement.