We recently released our next generation support chatbot, Resolution Bot. It is designed to provide instant responses to customers directly within Intercom Messenger. It was the Latest Mailing Database culmination of a huge amount of work from multiple product teams, a lot of research from our machine learning experts, and hands-on collaboration with the support team. We've chronicled the initial Resolution Bot training process to give you insight into how support teams can play a pivotal role in product development. Start of the training process The development of Resolution Bot has also seen a very significant involvement from our team here at Intercom - the customer support team. We have long been a valuable source of customer feedback for the Product team. We also participate in the QA process and beta testing of new feature rollouts, providing direct feedback and guidance.
This project, however, marked a whole new level of collaboration between our teams. Resolution Bot aims to improve and optimize the support experience. Its design therefore implied that feedback from the teams that would use it the most was essential. Its development has greatly benefited from our input, as we aim to be product experts and understand our customers' key questions by helping them day in and day out. We've provided 100 answers to our most frequently asked questions to Latest Mailing Database help train Resolution Bot From the early stages of the project, we worked closely with the Product team to provide feedback on the user experience and to really help shape this new product as it developed. At the heart of our involvement was a daunting challenge: providing 100 answers to our most frequently asked questions, to help train Resolution Bot and ensure it was ready to go from day one.
Find the right answers Training Solving Bot One of Resolution Bot's most powerful features is its ability to analyze your past conversations and surface suggestions for your most frequently asked questions. But starting from scratch, we needed to gather a pool of responses to Latest Mailing Database help train it and gauge its effectiveness. Training a chatbot can seem overwhelming, especially if you don't know where to start. That's why we started with 100 answers. We knew 100 responses would give us a solid understanding of the ins and outs of the product. It would also allow us to really dig into the data behind these answers. First and foremost, we needed to know how often the answers automatically solved the questions successfully. A sample of 100 responses allowed us to adequately assess the impact Resolution Bot could have for a support team like Intercom's. We believed that if Resolution Bot could solve even 10% of our customers' frequently asked questions, it would free up a lot of time.