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Algorithmic personalization: Rating systems are one of the most effective ways to personalize a user experience based on real behavior. This is especially true of products with sophisticated algorithmic personalization systems, like Netflix. The more frequently users submit ratings, the more accurate the system's personalization becomes, resulting in a richer user experience. Aggregation of decision-making: Aggregate rating systems are useful in helping users make decisions. This works particularly effectively for products that have either high or low degrees of personalization; a brand-new Amazon user, for example, will still benefit from aggregated ratings, even if they don't receive personalized offers as a result. This type of rating system becomes even more useful for products with longer decision times. Only you and your team can decide which kind of rating system is right for your product. Depending on which of the factors above is most important to you and your users, you may find that a binary rating system will suit your needs. That said, you may find that a more nuanced rating system is required. But many platforms have utilized binary rating systems to great effect, particularly within the realm of algorithmic personalization. Online radio platform Pandora has long relied on its thumbs-up/down system to craft increasingly individualized playlists and stations for listeners, as has music-streaming titan Spotify. Products that rely on sophisticated algorithmic personalization and curation functionality often benefit from a binary rating system. But simpler rating systems can also encourage users to provide feedback to create larger, more robust data sets that may help users make more complex decisions. So far, we've focused primarily on the pros and cons of binary rating systems and star rating systems, but these are far from the only options available to UX practitioners seeking to incorporate user feedback into their product experiences. Online movie database IMDb, for example, relies upon a 10-point rating system to give titles in its vast database a little more nuance than perhaps a five-point system would allow. Rotten Tomatoes, another incredibly popular movie-rating website, favors its 100-point rating system, which allows for even greater distribution of titles' ratings. Other sites that rely on user-generated content, such as aggregation platform Reddit and the marketing community GrowthHackers, opt for up-vote/down-vote systems in which users can "vote" to promote content they like and dislike. As with virtually everything in UX, there's often no "right" answer when it comes to user rating systems. There are just too many variables for a one-size-fits-all approach to soliciting and acting upon user feedback. That said, hopefully this post has given you some insight into not only the kind of rating system that's right for your product and your users but also the advantages and disadvantages of these systems. high quality imitation bagsbogg bag cyber monday deal

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