Instinct's newly introduced product recommendation feature has sparked negative reactions from some users. With terms like "ick" (describing a visceral sense of aversion or awkwardness) frequently appearing on social media, the current situation highlights a mismatch between system-driven suggestions and user expectations or personalization accuracy.
The newly introduced feature is an algorithm that automatically recommends products based on user behavior data. Designed to offer deeper suggestions than traditional recommendation engines, it has, in some cases, been perceived by users as "excessive surveillance" or "inopportune timing."
The purpose of this feature is to improve conversion rates through enhanced personalization based on detailed data analysis. However, critics point out that while pursuing technical precision, the development may have insufficiently considered the psychological impact of recommendation "quality" and "context" from a user experience (UX) perspective.
Instinct is currently adjusting its algorithm by incorporating feedback from some users. Moving forward, the company faces an urgent need to implement deep privacy considerations and improve its UX to feel more natural and comfortable for users.