Improving the post-booking experience on OpenTable would involve addressing a number of pain points and areas for improvement. One potential area to focus on could be providing more personalized recommendations for users based on their dining preferences and past experiences. This could involve leveraging data analytics and machine learning to better understand user behavior and preferences, and then using that information to make tailored suggestions for restaurants and dining experiences. Another key area for improvement could be streamlining the process of making changes or cancellations to reservations. This could involve implementing more user-friendly interfaces and workflows, as well as providing better support and guidance for users who need to modify their plans. Overall, improving the post-booking experience on OpenTable will require a deep understanding of user needs and pain points, as well as a commitment to leveraging technology and innovation to create a more seamless and satisfying experience for all users.
Product Prioritization