Antanas Andrulis conducted an A/B test to help customers choose the right dog food package based on their dog's size, believing this would increase conversions. Instead, the test resulted in a -4.74% conversion rate, indicating that the change did not resonate with customers. The feedback highlighted that while the intention was to simplify the shopping experience, it may have complicated decision-making and increased cognitive load. Customers prefer to feel in control of their choices, which wasn’t achieved with this approach. Commenters on the post noted that asking customers to consider their dog’s weight adds friction, as many may not have this information readily available. This could discourage purchases. Some suggested that the recommendation system might be more effective if it focused on specific dietary needs, such as recommending low-calorie options for overweight dogs. Others pointed out that many customers tend to buy in bulk based on pricing, rather than specific dog sizes. There was also mention of specific challenges faced by niche markets, like vegan dog food options, which could present an opportunity for more targeted recommendations. Overall, the discussion emphasizes the importance of understanding customer behavior and preferences through research, rather than assuming that good intentions will lead to better user experiences. The insights suggest a need for businesses to test assumptions carefully and to engage with actual users to refine their strategies.