A “what to watch” decision-making tool, often in the form of an interactive questionnaire, assists individuals in selecting content from the streaming platform based on their preferences. These tools typically pose a series of questions regarding genre interests, preferred actors or directors, desired mood or theme, and viewing history. For example, a user might be asked if they prefer comedies, dramas, or documentaries, or if they are looking for something lighthearted, suspenseful, or educational.
Such recommendation aids offer several advantages. They streamline the content discovery process, which can be overwhelming given the extensive library available on the platform. They can also introduce users to titles they might not otherwise consider, expanding their viewing horizons. Historically, recommendations were primarily algorithm-driven, relying on viewing data to suggest similar content. Interactive questionnaires represent a user-centered approach, incorporating explicit preferences into the selection process. This can improve user satisfaction and engagement with the service.
