Dogfooding: How Putting Yourself in the User’s Shoes Changes the Way You See Your Product

Dogfooding: How Putting Yourself in the User’s Shoes Changes the Way You See Your Product

When it comes to product development, it's crucial to have a deep understanding of your users and their needs. One effective way to gain this understanding is through a practice called "dogfooding." Dogfooding refers to using your own product as if you were a regular user. By immersing yourself in the user experience, you can uncover blind spots, identify pain points, and gain valuable insights to improve your product.

Faced with the pain of having to use the Ancestry tool for work communication, one team discovered the power of dogfooding. They realized that by using their own product, they could better understand the problems with it and find ways to solve them. Dogfooding goes beyond a theoretical understanding of your product roadmap; it allows you to experience it in a practical, everyday sense.

One common pitfall that product teams often fall into is forgetting what it's like to be a new user. When you've been working on a product for a long time, it's easy to overlook issues that might be obvious to someone who is using it for the first time. By regularly signing up for your own service using a brand new account, you can stay up-to-date on the user experience and remind yourself that there's always room for improvement.

Customer empathy is a key aspect of dogfooding. It's about putting yourself in the shoes of your users and experiencing your product from their point of view. This means looking outside of yourself and seeing through their eyes, without the debugging tools and access to engineers that you have. It's important to remember that your product is not just for people like you; it's for a diverse range of users who may have different levels of technology literacy and access.

Our perspectives are often limited by our own experiences and environments. We tend to think that everyone is like us, but in reality, that's not the case. By dogfooding, you can gain a different viewpoint and understand how your product affects people who are different from you. This global mindset is crucial for building inclusive and user-centric products.

Now, let's shift our focus to the topic of generative AI and intellectual property. There has been a lot of debate and concern around the use of AI models, such as language models, and their impact on intellectual property. However, it's important to understand the purpose and nature of these models.

Language models, like ChatGPT, do not function as databases. They don't store the text they analyze; instead, they deduce patterns in language by examining vast amounts of text created by people. The goal is not for the model to know the content of specific stories or books; it's about understanding the patterns in human language as a proxy for human thought.

When it comes to generative AI, the focus should be on the intelligence it can infer from human-generated text, not on the specific content it has analyzed. It's crucial to differentiate between the model deducing patterns and the actual creation of content. Just like a camera captures an image but doesn't claim authorship, AI models generate text based on patterns they have learned but don't claim ownership of the original content.

This perspective helps us understand why some people may be concerned about AI-generated music or stories, while others see it as a valuable tool. The focus should be on the output and the value it provides, rather than who or what created it. Whether a machine or a human pressed the "Go" button, the difficulty lies in producing something good, regardless of the creator.

In conclusion, dogfooding and understanding the user experience are essential for product development. By immersing ourselves in the user's shoes, we can uncover blind spots and improve our products. Additionally, when discussing generative AI and intellectual property, it's important to focus on the value and output rather than the specific content analyzed by AI models.

Actionable Advice:

1. Regularly sign up for your own service using a fresh account to stay updated on the user experience and identify areas for improvement.
2. Develop a global mindset by considering how your product may impact users from diverse backgrounds and technological capabilities.
3. When discussing generative AI, focus on the value and output it provides rather than getting caught up in concerns about intellectual property.

By incorporating these practices and perspectives into your product development journey, you can create better user experiences and navigate discussions around generative AI more effectively. Remember, putting yourself in the user's shoes and embracing a broader perspective can lead to valuable insights and innovation.