![\"HelpCrunch-FAQ-chatbot\"](\"https:\/\/helpcrunch.com\/blog\/wp-content\/uploads\/2023\/06\/HelpCrunch-FAQ-chatbot.png\")
How does it work? A user provides a query in chat and gets their reply immediately from a bot. It\u2019s an easy way to teach customers about your brand, product, and service and direct them to the appropriate website page. The best part here is that the chatbot for customer support<\/a> is available 24\/7 with no breaks (except for technical ones \ud83e\udd16).<\/p>\n\n\n\n If you are already interested and want to test, sign up<\/a> for a free trial version. But if not yet, then let’s continue our journey.<\/p>\n\n\n\n Even though we focus more on FAQ chatbots for customer service in this article, this tool can also serve well for internal support. Let\u2019s talk about it more precisely in the following paragraphs.<\/p>\n\n\n\n It\u2019s not news that customers appreciate their time and don\u2019t like searching, scrolling, or waiting for the business to reply. Moreover, 90%<\/a> of users consider an immediate response a crucial factor in customer service. <\/p>\n\n\n\n And businesses understand this. Overall, the interest and usage of chatbots have grown dramatically, and it looks like this tendency won\u2019t go away soon.<\/p>\n\n\n Chatbot FAQ can help you create a conversational landing page<\/a>, improve company productivity, and also: <\/p>\n\n\n\n Gather user contact information<\/strong> to ensure follow-up and satisfaction with provided answers.<\/p>\n\n\n\n Pre-set responses, artificial intelligence, or both can power chatbot for FAQ. Thus, we can break it down into three main types: <\/p>\n\n\n\n Rule-based bots communicate using predefined scenarios. Just like in a simple mobile game, the program always sticks to the script and responds to users\u2019 actions in a predetermined way. If a player does \u201cthis,\u201d then \u201cthat\u201d will happen. No other options. <\/p>\n\n\n\n Support managers define and implement these pre-set rules. It\u2019s also worth noting that rule-based FAQ chatbots don\u2019t understand the context of the dialogue. They can provide the correct answer only when users include a keyword they were programmed to respond to.<\/p>\n\n\n So when a rule-based chatbot gets a question, it first looks for specific keywords in the sentence, like \u2018order\u2019 or \u2018product.\u2019 After that, it tries to match them with programmed answers in its database. When the bot finds the matching information, it immediately provides it to the customer. <\/p>\n\n\n\n However, if a visitor uses a word that is out of the scope, the bot will fail to find the right answer to the question. What\u2019s then? You can program your chatbot to ask users to rephrase their questions or transfer the query to a live agent.<\/p>\n\n\n\n For example, GOL Airlines uses a rule-based FAQ chatbot to provide information on regulations, flight status, check-in details, and other relevant information gathered from the company’s help center.<\/p>\n\n\n Due to their simplicity, rule-based chatbots are extremely easy to build and train. The price will make you happy as well \ud83e\udd11 <\/p>\n\n\n\n Another benefit is that the behavior of these chatbots can be designed from A to Z, which allows businesses to deliver a predictable customer experience. On the flip side of the coin, rule-based chatbots can\u2019t learn on their own; they only respond to a predefined set of rules created by your team. That means your customer experience with rule-based bots is pretty linear.<\/p>\n\n\n\n FAQ chatbots with artificial intelligence software communicate using machine learning and natural language processing (NLP), and some even leverage sentiment analysis<\/a>. (Wait, what?) Let\u2019s take this slowly.<\/p>\n\n\n\n Machine learning<\/strong> can help bots identify user input patterns, learn from other interactions, and even make decisions.<\/p>\n\n\n\n Natural language processing<\/strong> allows chatbots to understand the context of the dialogue despite grammatical mistakes or jargon. Sentiment analysis<\/strong> is here to let bots comprehend customers\u2019 emotions.<\/p>\n\n\n Although AI chatbots are more advanced, you need to train and build them with a set of predefined answers, just like rule-based chatbots. Over time, they can learn from past conversations without the need to be constantly updated. AI chatbots FAQ can make communication more personalized by sending targeted messages, speaking different languages, improvising, answering more complex questions, and providing fast human-like support. <\/p>\n\n\n\n The other side is that these bots take a lot of work to build. It requires more time and money. Among other challenges you have to be aware of:<\/p>\n\n\n\n These FAQ chatbots communicate with people using a combination of both rule-based and AI benefits. On the one hand, they are trained to say specific things when answering user queries, but they can also leverage NLP to recognize the user\u2019s intent.<\/p>\n\n\n Choosing the type of FAQ chatbot depends on three main factors:<\/p>\n\n\n\n The most important factor is your business aim<\/strong>. So, what are you looking for? Do you need a bot that can reduce the workload of support agents and answer some straightforward questions? Or, a chatbot that is capable of nearly replacing an agent? <\/p>\n\n\n\n The next question is, how much time and money can you dedicate to the chatbot design? The rule-based type is perfect for a tight budget and immediate help (especially if you already have an FAQ page hot to trot). The AI and hybrid chatbots deliver to the needs of large businesses better as they can handle a huge number of requests of varying complexity. <\/p>\n\n\n\n Speaking of the industry<\/strong>, if you work in the retail niche and offer several products, your chatbot will require better human understanding to identify the user\u2019s intent and assist them in their shopping experience. Your customers most probably use different forms of questions, and the chatbot must be able to match the words to the right products. Moreover, it has to be profound in pricing, discounts, and even competitors\u2019 solutions to be really helpful to a visitor.<\/p>\n\n\n The type of chatbot also depended on the volume and complexity of the FAQ database<\/strong>. For instance, AI chatbots require a huge load of training data to perform better, whereas rule-based bots can operate perfectly well with a low or moderate volume. The choice is yours \ud83d\udc81\u200d\u2640\ufe0f<\/p>\n\n\n\n The last but not least determinant factor is the integration channel<\/strong>. If you interact with users through several channels and store the whole data on one customer communication platform, then you would better go with the bot this software offers. It will help you to avoid the difficulties associated with the use of several tools for communication, which inevitably makes it impossible to synchronize or analyze data properly. <\/p>\n\n\n\n However, if your company focuses on just one communication channel, you have many companies to choose from when selecting your chatbot provider. <\/p>\n\n\n\n Generally, an FAQ-based chatbot is used as a customer service bot<\/a> to answer visitors\u2019 common questions. Depending on the company’s goals, businesses can integrate the bot in various ways for customers and employees.<\/p>\n\n\n\n Users can benefit greatly if you offer a chatbot for frequently asked questions and the help page. This way, they get an available assistant around the clock, respond in seconds, and manage multiple users simultaneously. <\/p>\n\n\n\n Chatbots can be good at capturing new leads<\/strong>. When chatting with a person, they ask for personal information and redirect it to the sales team. Later, you can use these contact details to create a personalized approach, send special offers, and move the lead through the sales funnel. <\/p>\n\n\n\n AI-powered FAQ chatbots can cross-sell <\/strong>and eventually increase revenue. Smart chatbots learn from past conversations, suggest matching products, provide information about promotions, and encourage customers to buy other products or services.<\/p>\n\n\n FAQ-based chatbot can be a substitute or an auxiliary tool for an internal knowledge base or onboarding pack. Imagine you have a big company, and a newcomer joins your team. Predictably, they have many questions about everything, from schedule and holidays to weekly meeting times to technical product issues. Chatbots can help a lot here and allow new members to get the answers they need.<\/p>\n\n\nWhy do you need an FAQ chatbot?<\/h2>\n\n\n\n
![\"Chatbot](\"https:\/\/helpcrunch.com\/blog\/wp-content\/uploads\/2022\/04\/Chatbot-growing-trend.png\")
\n
What are the types of FAQ chatbots?<\/h2>\n\n\n\n
\n
![\"Rule-based](\"https:\/\/helpcrunch.com\/blog\/wp-content\/uploads\/2022\/04\/Rule-based-chatbot-scheme.png\")
![\"Rule-based](\"https:\/\/helpcrunch.com\/blog\/wp-content\/uploads\/2023\/06\/faq-chatbot-example-2.png\")
\n
![\"AI](\"https:\/\/helpcrunch.com\/blog\/wp-content\/uploads\/2022\/04\/AI-chatbot-architecture.png\")
\n
\n
![\"Compare](\"https:\/\/helpcrunch.com\/blog\/wp-content\/uploads\/2022\/04\/Compare-chatbots.png\")
How to choose the right chatbot for FAQ?<\/h2>\n\n\n\n
\n
![\"Chatbot](\"https:\/\/helpcrunch.com\/blog\/wp-content\/uploads\/2022\/04\/Chatbot-in-fashion.png\")
What are the use cases for FAQ chatbots?<\/h2>\n\n\n\n
\n
![\"An](\"https:\/\/helpcrunch.com\/blog\/wp-content\/uploads\/2022\/04\/An-example-of-chatbot-cross-sell.png\")
\n
![\"Internal](\"https:\/\/helpcrunch.com\/blog\/wp-content\/uploads\/2022\/04\/Internal-chatbot-usage.png\")