{"id":18704,"date":"2020-05-26T11:14:44","date_gmt":"2020-05-26T10:14:44","guid":{"rendered":"https:\/\/www.intercom.com\/blog\/?p=18704"},"modified":"2024-09-24T15:06:05","modified_gmt":"2024-09-24T14:06:05","slug":"the-100-answer-challenge","status":"publish","type":"post","link":"https:\/\/www.intercom.com\/blog\/the-100-answer-challenge\/","title":{"rendered":"The 100 answer challenge: How our support team helped train Resolution Bot"},"content":{"rendered":"<p>We recently released our next generation support chatbot, <a href=\"https:\/\/www.intercom.com\/blog\/automated-answers\" target=\"_blank\" rel=\"noopener noreferrer\">Resolution Bot<\/a>. It\u2019s designed to provide instant answers to customers right in the Intercom Messenger.<\/p>\n<p>It was the culmination of a huge amount of work by multiple product teams, vast amounts of research by our <a href=\"https:\/\/www.intercom.com\/blog\/podcasts\/intercom-fergal-reid-ai-machine-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">machine learning experts<\/a>, and hands-on collaboration with the support team. We chronicled the initial training process of Resolution Bot to give you an inside look into how support teams can play a pivotal role in product development.<\/p>\n<p><script src=\"https:\/\/fast.wistia.com\/embed\/medias\/8q9uw4tibd.jsonp\" async><\/script><script src=\"https:\/\/fast.wistia.com\/assets\/external\/E-v1.js\" async><\/script><\/p>\n<div class=\"wistia_embed wistia_async_8q9uw4tibd aligncenter\" style=\"height: 461px; position: relative; width: 500px;\"><\/div>\n<h2 id=\"kicking-off-the-training-process\">Kicking off the training process<\/h2>\n<p>The development of Resolution Bot also saw a very significant involvement from our team here at Intercom \u2013 the <a href=\"https:\/\/www.intercom.com\/blog\/how-to-keep-kpis-meaningful-for-your-customer-support-team\/\" target=\"_blank\" rel=\"noopener noreferrer\">Customer Support team<\/a>. We have long been a valuable source of <a href=\"https:\/\/www.intercom.com\/blog\/how-the-support-team-improves-the-product\/\" target=\"_blank\" rel=\"noopener noreferrer\">customer feedback to the Product team<\/a>. We also take part in the QA process and beta test new feature rollouts, providing direct feedback and guidance.<\/p>\n<p>This project, however, marked an entirely new level of collaboration between our teams. Resolution Bot sets out to improve and optimize the support experience, so designing it meant that feedback from the teams who would use it most was essential. Its development benefited massively from our input, as we aim to be product experts and understand our customers\u2019 top questions from <a href=\"https:\/\/www.intercom.com\/blog\/rebuilding-support-around-continuity-trust\/\" target=\"_blank\" rel=\"noopener noreferrer\">helping them day in, day out<\/a>.<\/p>\n<blockquote class=\"pullquote-style-two\"><p>\u201cWe provided 100 answers to our most commonly asked questions in order to help train Resolution Bot\u201d<\/p><\/blockquote>\n<p>From the very early stages of the project, <a href=\"https:\/\/www.intercom.com\/blog\/putting-customer-support-at-the-product-table\/\" target=\"_blank\" rel=\"noopener noreferrer\">we worked closely with the Product team<\/a> to provide feedback on the user experience, and to really help shape this new product as it developed.<\/p>\n<p>Central to our involvement was a significant challenge \u2013 providing 100 answers to our most commonly asked questions, in order to help <a href=\"https:\/\/www.intercom.com\/blog\/help\/operator\/answer-bot\/train-answer-bot-to-provide-more-resolutions\" target=\"_blank\" rel=\"noopener noreferrer\">train Resolution Bot<\/a> and make sure it was ready to go from day one.<\/p>\n<h2 id=\"finding-the-right-answers\">Finding the right answers<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2020\/03\/chatbot-common-customer-question-resolution-bot.png\" alt=\"Training Resolution Bot\" width=\"1600\" height=\"415\" \/><\/p>\n<p>One of Resolution Bot\u2019s most powerful features is its ability to analyze your past conversations and surface suggestions for your most commonly asked questions. But starting from scratch, we needed to collate a pool of answers to help train it and gauge its effectiveness.<\/p>\n<p><a href=\"https:\/\/www.intercom.com\/blog\/how-to-train-a-conversational-chatbot\/\" target=\"_blank\" rel=\"noopener noreferrer\">Training a chatbot<\/a> can feel overwhelming, especially if you\u2019re not sure where to start. That\u2019s why we started with 100 answers. We knew that 100 answers would allow us to gain a strong understanding of the ins and outs of the product.<\/p>\n<p>It would also allow us to really dig into the data behind these answers. Above all, we needed to know how often the answers successfully resolved questions automatically. A sample size of 100 answers allowed us to adequately assess the impact that Resolution Bot could have for a support team like Intercom\u2019s.<\/p>\n<p>We thought, if Resolution Bot could resolve even 10% of our customers\u2019 frequently asked questions, this would free up a serious amount of time. As a result, our team would be enabled to focus less on the <a href=\"https:\/\/www.intercom.com\/blog\/how-to-handle-frequently-asked-questions\/\" target=\"_blank\" rel=\"noopener noreferrer\">frequently asked questions<\/a> and devote more time to our customers\u2019 tougher problems, resolve the more technical investigations, and help new customers get set up as quickly as possible.<\/p>\n<blockquote class=\"pullquote-style-one\"><p>\u201cSince re-launching Resolution Bot, we learned that the chatbot instantly solves 33% of common support questions, and on average has helped businesses save their customers 109 hours over the last year\u201d<\/p><\/blockquote>\n<p>We were right. Since re-launching Resolution Bot, we learned that the chatbot instantly solves <a href=\"https:\/\/www.intercom.com\/blog\/announcing-resolution-bot\/\" target=\"_blank\" rel=\"noopener noreferrer\">33% of common support questions<\/a>, and on average has helped businesses save their customers 109 hours over the last year.<\/p>\n<h2 id=\"building-a-thoughtful-testing-process\">Building a thoughtful testing process<\/h2>\n<p>Our first approach to testing Resolution Bot was to build a dedicated group of Customer Support teammates who would create answers within Resolution Bot on the main Intercom workspace, test the product to see what worked and more importantly what didn\u2019t, and <a href=\"https:\/\/www.intercom.com\/blog\/customer-feedback-strategy\/\" target=\"_blank\" rel=\"noopener noreferrer\">provide detailed feedback to the product team<\/a>.<\/p>\n<p>For our dedicated team we enlisted a group of some of our most tenured team members, spanning across four offices around the globe, who all boasted an impressive and deep knowledge of Intercom and our products.<\/p>\n<p>We worked together to identify and build out our answers, supplying Resolution Bot with suggested answers while it was being tested. Communicating regularly, we reviewed the suggested answers to ensure they were firing properly and sending out the correct information.<\/p>\n<p>We were, in a sense, helping to train Resolution Bot as it became smarter and more useful.<\/p>\n<h2 id=\"questioning-our-intuition\">Questioning our intuition<\/h2>\n<p>As we collated 100 answers, we discovered something interesting. At first, we relied on our own intuitive sense of what Intercom customers\u2019 most frequently asked questions were. We were the experts in this field, so it seemed like a natural way to start.<\/p>\n<blockquote class=\"pullquote-style-two\"><p>\u201cThe anecdotal approach provided very different answers from the analytical\u201d<\/p><\/blockquote>\n<p>However, it transpired these questions diverged markedly from what the data revealed. The anecdotal approach provided very different answers from the analytical. For instance, teammates who were involved in particular projects were naturally prone towards suggesting questions concerning those topics.<\/p>\n<p>And it also highlighted some understandable blindspots \u2013 one example of a frequently asked question that we missed was \u201cWhere do I find my closed conversations?\u201d This is second nature to the support team, and it didn\u2019t occur to us that it might be confusing to a customer.<\/p>\n<p>When our analytics team provided us with conversation \u201cclusters\u201d (conversations that coalesced around similar questions, themes or topics), we were able to identify the most glaring omissions. We used the clusters as a platform to clearly outline questions for which answers were needed.<\/p>\n<p>Using hard data as a springboard from which to craft answers super-charged the product, and saw us hit our goal of 100 live answers within <em>two weeks<\/em>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2018\/11\/AnswerBotClusters.jpg\" alt=\"Our analytics team provided us with conversation \u201cclusters\u201d to help us train Resolution Bot\" width=\"1600\" height=\"810\" \/><\/p>\n<p>The next step was to start monitoring the answers we created, optimize them for quality, and fix the ones that simply weren\u2019t working.<\/p>\n<p>We took a close look at answers that were misfiring, and created new answers to solve the issue. For example, an answer about how to create messages may have fired for a question about creating users, in which case we simply provided a correct answer.<\/p>\n<p>To diagnose why some answers misfired, we focused on the supplied examples. Was there enough meaningful variation between the answers? \u201cMeaningful variation\u201d means having different ways of phrasing important words within a question. The difference between \u201cCan I?\u201d and \u201cHow do I?\u201d is not a meaningful variation. By contrast, the difference between \u201cadmin\u201d and \u201cteammate\u201d is a very meaningful variation indeed.<\/p>\n<p>Here we can see how to train Resolution Bot to recognize certain questions on a given issue. We had to ensure that, within the examples we fed to Resolution Bot, there were multiple variations of different phrasings for the same issue, while precluding questions that shared words but differed in meaning:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2020\/03\/how-to-train-a-chatbot-common-questions.png\" alt=\"Train Resolution Bot to answer common questions\" width=\"1600\" height=\"921\" \/><\/p>\n<p>A final tool available to us was <a href=\"https:\/\/www.intercom.com\/blog\/help\/en\/articles\/2408889-when-should-i-use-resolution-bot-s-qualifiers\" target=\"_blank\" rel=\"noopener noreferrer\">qualifiers<\/a> \u2013 qualifiers allows us to clearly define the phrases that should be present in a customer\u2019s question in order for an answer to fire.<\/p>\n<h2 id=\"cross-functional-development\">Cross-functional development<\/h2>\n<p>We didn\u2019t just focus our work within the Customer Support team, but also with our Product Education team as well as our <a href=\"https:\/\/www.intercom.com\/blog\/sales-team\/\" target=\"_blank\" rel=\"noopener noreferrer\">Sales team<\/a>, helping them identify and convey the value of Resolution Bot to leads and customers.<\/p>\n<blockquote class=\"pullquote-style-two\"><p>\u201cOur support team now has more time available to focus on the meatier questions\u201d<\/p><\/blockquote>\n<p>By spending time testing Resolution Bot during its initial evolution, the Customer Support team was set up for success in time for the launch, and the benefit was two-fold \u2013 we were able to hit the ground running in terms of supporting our customers as they adopted Resolution Bot, and we were able to get great value from Resolution Bot ourselves.<\/p>\n<h2 id=\"keeping-resolution-bot-healthy\">Keeping Resolution Bot healthy<\/h2>\n<p>We have now established a special Resolution Bot team to focus on curating answers and maintaining and optimizing these answers. With the re-launch of Resolution Bot, this process is even more effective, because Resolution Bot allows us to <a href=\"https:\/\/www.intercom.com\/blog\/help\/en\/articles\/2408846-measure-resolution-bot-s-performance\" target=\"_blank\" rel=\"noopener noreferrer\">track what answers are underperforming<\/a> so that we can improve them.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.intercom.com\/blog\/wp-content\/uploads\/2021\/02\/Resolution-Bot-Reports-1-1.jpg\" \/><\/p>\n<p>To create a fantastic answer from the get-go, we\u2019re also now able to <a href=\"https:\/\/www.intercom.com\/blog\/help\/en\/articles\/2408791-resolution-bot-how-to-create-an-effective-answer#4-compose-a-high-quality-answer\" target=\"_blank\" rel=\"noopener noreferrer\">copy an answer from a past conversation<\/a> that we know resolved the customer\u2019s question immediately. Using Resolution Bot ourselves means our support team now has more time available to focus on the meatier questions and to help our customers in an even more valuable way.<\/p>\n<p>Our collaboration with the product team drove significant growth in the evolution of Resolution Bot. If you work on a support team, your feedback plays an essential role in the success and development of new products. If you haven\u2019t, reach out to your product team and see how you can help.<\/p>\n<p>That collection of 100 answers we started out with two years ago has evolved and grown. With over 55k conversations resolved immediately and over 300 live answers, Resolution Bot, it\u2019s fair to say, is coming into its own as a crucial piece in the next generation of support.<\/p>\n<hr \/>\n<h3>Extra resources:<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.intercom.com\/blog\/help\/operator\/answer-bot\/provide-instant-resolutions-247-with-answer-bot\" target=\"_blank\" rel=\"noopener noreferrer\">How Resolution Bot works<\/a><\/li>\n<li><a href=\"https:\/\/www.intercom.com\/blog\/help\/operator\/answer-bot\/answer-bot-how-to-create-an-effective-answer\" target=\"_blank\" rel=\"noopener noreferrer\">How to create an effective answer for Resolution Bot<\/a><\/li>\n<li><a href=\"https:\/\/www.intercom.com\/blog\/help\/operator\/answer-bot\/train-answer-bot-to-provide-more-resolutions\" target=\"_blank\" rel=\"noopener noreferrer\">Train Resolution Bot to provide more resolutions<\/a><\/li>\n<li><a href=\"https:\/\/www.intercom.com\/blog\/help\/operator\/answer-bot\/measure-answer-bots-performance\" target=\"_blank\" rel=\"noopener noreferrer\">Measure Resolution Bot\u2019s performance<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We chronicled the initial training process of Resolution Bot to give you an inside look into how support teams can play a pivotal role in product development. <\/p>\n","protected":false},"author":279,"featured_media":18700,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"category":[25198,3],"tags":[339,9980,142,21425],"coauthors":[620,542],"class_list":["post-18704","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","category-customer-support","tag-bots","tag-chatbot","tag-customer-support","tag-resolution-bot"],"yoast_head":"<!-- This site is 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