Instinct’s new product recommendations are giving some users the ick

Instinct, a popular consumer platform, has launched a new feature offering human-curated product and travel recommendations to its user base. While the company positions this as an enhancement designed to improve user experience and discovery, the rollout has generated unexpected backlash from certain segments of the community who view the unsolicited suggestions as intrusive.

Instinct's recommendation system leverages human curation—rather than purely algorithmic selection—to suggest products and travel destinations to users. The platform aims to provide personalized content that enhances browsing and purchasing experiences. However, early adoption has revealed a notable friction point: many users report feeling uncomfortable receiving recommendations they didn't explicitly request. This sentiment represents a broader tension between platforms' desire to increase engagement and users' preferences for content control and privacy.

The backlash highlights several key concerns across the industry:

• User autonomy concerns: Unsolicited recommendations may feel like an infringement on user choice, particularly when they appear prominently in feeds or notifications
• Privacy implications: Curated suggestions require data collection and analysis, raising questions about how user information is being leveraged
• Content fatigue: Users increasingly experience recommendation overload across multiple platforms, leading to skepticism about additional suggestion systems
• Trust and transparency: Without clear explanation of curation criteria, users may distrust the motivations behind recommendations
• Opt-in versus opt-out: The default approach to rolling out features significantly impacts user perception and adoption rates

Instinct's experience underscores a critical lesson for technology companies: features designed with positive intent can backfire without proper user consideration and control mechanisms. As digital platforms compete for engagement, the distinction between helpful personalization and unwanted intrusion grows increasingly important. Companies launching recommendation features must prioritize transparent communication, granular user controls, and respect for user preferences to avoid alienating their audiences. This incident serves as a reminder that user satisfaction ultimately depends on balancing innovation with respecting individual autonomy and choice.