A customer\u2019s support journey should never start out with a human-human interaction. Not only can a bot collect basic information faster than a human can, but it can also instantly make decisions based on this information.<\/p>\n
To give an example, say that a customer deleted his email with shipment tracking information and contacts customer service to retrieve the tracking number. The chatbot would immediately present options for issue classification from which the user could choose (e.g. \u201cShipping\u201d, \u201cAccount Login\u201d, \u201cPayment Issues\u201d, etc.). The user would select shipping, and the chatbot would present the user with his most recent orders and ask him to select one. The second the user selects the order, the chatbot would present options of potential problems with the order from which to choose \u2014 e.g. \u201cReturn Item\u201d, \u201cShipment Tracking\u201d, or \u201cProblem with Item\u201d. When the user selects \u201cShipment Tracking\u201d the chatbot instantaneously gives the tracking number and latest shipment update.<\/p>\n
Now, this is an example of an interaction in which a human agent was never necessary. While an agent should never begin the conversation, there should also be provisions for an option like \u201cnone of the above\u201d in order to be routed to an agent when necessary.<\/p>\n
The best customer service journeys are partially automated with easily accessible escape hatches for users to contact live agents.<\/em><\/p><\/blockquote>\nThe four different steps that can be automated are:<\/p>\n
\n- Information Collection<\/li>\n
- Guided Issue Filing<\/li>\n
- Self-Service Suggestion<\/li>\n
- CSAT Collection<\/li>\n<\/ul>\n
There are the four types of chatbots that every customer service team should be using. Simple queries that can be addressed through self-service should only reach chatbots and never be routed to an agent. In more unique cases, however (or in cases where a customer simply wants<\/em> to speak to an agent) the agent could enter at two points, as outlined below. The flow of your customer journey should progress as follows.<\/p>\nStep 1: Collecting Information<\/h4>\n
Much of an agent\u2019s time is taken up with routine information collection. Thanks to simple but necessary questions like asking for name and account number, the agent oftentimes spends the bulk of an interaction just getting basic information to answer a question.<\/p>\n
The information bot efficiently replaces the need for this step by asking users to enter their own information. Some bots will present button options for the user to select (iOS vs. Android, for example), while others can use natural language processing to identify the information. The bot can also suggest options \u2014 for instance, if customers say they want to return an item, the bot can present the last five items purchased and ask users to click on the one they want to return.<\/p>\n
Step 2: Classifying Issues<\/h4>\n
Using artificial intelligence, a chatbot can also classify an issue with a high degree of accuracy. This step is extremely important, as it both allows the bot to deflect tickets through self-service suggestions, and helps route the issue to the correct agent in the event that ticket deflection does not work.<\/p>\n
Step 3: Suggesting Knowledge Articles<\/h4>\n
This bot promotes self-service by suggesting knowledge base articles that address the user\u2019s inquiry. For instance, if a user asks \u201cwhere do I see my purchase history\u201d the bot could suggest a knowledge base article (or even a gif or video explanation, depending on how robust your knowledge base is) showing where to find this information. If, on the other hand, the bot uses menu options, and the user selects \u201cpurchase history\u201d, the bot could suggest four related articles such as \u201cWhere do I see my purchase history\u201d, \u201cWhy is one of my items not showing on my purchase history\u201d, \u201cReturn an item\u201d, and \u201cCheck my refund status\u201d.<\/p>\n
This bot is particularly interesting because it learns and improves over time. After offering self-service options, the bot will let the user select whether or not the knowledge base article(s) were helpful. Over time, the bot improves its accuracy by gathering feedback from its users. It also will have the capability to offer significantly more nuanced answers so that users don\u2019t have to parse through as much content to find a resolution.<\/p>\n
Step 4: CSAT Collection<\/h4>\n
Regardless of whether the conversation has been entirely handled by bots or has been handed off to an agent, the CSAT collection bot should still be the last touch point between the customer and the company. Unlike traditional forms of feedback gathering (email surveys, for instance), the CSAT bot follows up immediately after customers have found what they\u2019re looking for, and does so within the conversation thread. This encourages users to give feedback by removing the extra steps associated with most forms of survey collection.<\/p>\n
How To Get Started With Chatbots<\/h3>\n
It\u2019s likely that your customer service journey already looks very similar to the one outlined above, with the largest difference being that each step is handled manually by an agent. Automating aspects of this process will have these three effects. Chatbots will:<\/p>\n
\n- Decrease ticket volume<\/li>\n
- Improve time-to-first-response<\/li>\n
- Improve CSAT ratings<\/li>\n<\/ul>\n
Many top companies have already integrated chatbots into their customer service journey. In fact, according to that recent Helpshift survey, 48 percent of consumers have interacted with a chatbot in the past year for customer service inquiries, and 65 percent of millennials want chatbots involved in the customer service process.<\/p>\n","protected":false},"excerpt":{"rendered":"
First Off, What Is A Chatbot? There\u2019s a lot of chatter about chatbots today, but the concept of a chatbot is really nothing new. Over the last 50+ years, the…<\/p>\n","protected":false},"author":2,"featured_media":22809,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[145,177,178],"tags":[188,189],"table_tags":[],"acf":[],"taxonomy_info":{"category":[{"value":145,"label":"The Future of Customer Service"},{"value":177,"label":"Artificial Intelligence"},{"value":178,"label":"Chatbots"}],"post_tag":[{"value":188,"label":"artificial-intelligence"},{"value":189,"label":"chatbots"}]},"featured_image_src_large":["https:\/\/www.helpshift.com\/wp-content\/uploads\/2022\/04\/markus-spiske-207946-1024x682.jpg",1024,682,true],"author_info":{"display_name":"Brandan","author_link":"https:\/\/www.helpshift.com\/author\/brandond\/"},"comment_info":0,"category_info":[{"term_id":145,"name":"The Future of Customer Service","slug":"the-future-of-customer-service","term_group":0,"term_taxonomy_id":145,"taxonomy":"category","description":"","parent":0,"count":28,"filter":"raw","cat_ID":145,"category_count":28,"category_description":"","cat_name":"The Future of Customer Service","category_nicename":"the-future-of-customer-service","category_parent":0},{"term_id":177,"name":"Artificial Intelligence","slug":"artificial-intelligence","term_group":0,"term_taxonomy_id":177,"taxonomy":"category","description":"","parent":0,"count":7,"filter":"raw","cat_ID":177,"category_count":7,"category_description":"","cat_name":"Artificial Intelligence","category_nicename":"artificial-intelligence","category_parent":0},{"term_id":178,"name":"Chatbots","slug":"chatbots","term_group":0,"term_taxonomy_id":178,"taxonomy":"category","description":"","parent":0,"count":17,"filter":"raw","cat_ID":178,"category_count":17,"category_description":"","cat_name":"Chatbots","category_nicename":"chatbots","category_parent":0}],"tag_info":[{"term_id":188,"name":"artificial-intelligence","slug":"artificial-intelligence","term_group":0,"term_taxonomy_id":188,"taxonomy":"post_tag","description":"","parent":0,"count":5,"filter":"raw"},{"term_id":189,"name":"chatbots","slug":"chatbots","term_group":0,"term_taxonomy_id":189,"taxonomy":"post_tag","description":"","parent":0,"count":9,"filter":"raw"}],"_links":{"self":[{"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/posts\/22808"}],"collection":[{"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/comments?post=22808"}],"version-history":[{"count":2,"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/posts\/22808\/revisions"}],"predecessor-version":[{"id":30229,"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/posts\/22808\/revisions\/30229"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/media\/22809"}],"wp:attachment":[{"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/media?parent=22808"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/categories?post=22808"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/tags?post=22808"},{"taxonomy":"table_tags","embeddable":true,"href":"https:\/\/www.helpshift.com\/wp-json\/wp\/v2\/table_tags?post=22808"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}