🤖Build Your Own Chatbot
With the advancement and popularization of artificial intelligence technology, chatbots have become indispensable tools in business and social communication.Chatbots can serve as powerful assistants for businesses, helping to automate customer service, answer questions, process orders, and provide product recommendations. When combined with AI technology, the scope of chatbot applications expands significantly, making the term "chatbot" highly popular in the AI era and bringing more innovation and convenience in future development.
In this article, we will introduce the built-in chatbot applications and future development of FIRST LINE, explain how they work, and how to use them to create scripts suitable for your most diverse and broadest uses.
If you would like to learn more about the chatbot industry and its applications in depth, please refer to the following resources:
Apply to consult with experts: If you want to learn more about chatbots in depth, you can contact us for professional exchanges and discussions. The link to apply for expert consultation is as follows: https://www.firstline.cc/zh-tw/demo-apply/create
Learn more about chatbots first: If you want to learn more about chatbots before engaging in in-depth discussions: https://www.firstline.cc/chatbot
These resources will help you comprehensively understand chatbot applications, technologies, and market trends, enabling you to better design and deploy chatbot solutions that meet your needs.
Create your chatbot scenarios
FIRST LINE's chatbot is a powerful no-code tool that combines logic with a blueprint interface, allowing you to easily and quickly deploy scenarios across multiple social channels. By using flow-based and intent-based interaction applications and trying to combine the advantages of both (hybrid), it provides efficient and precise customer service.
You can use predefined rules and conditions to help step-by-step analyze customer issues and provide answers, commonly used for clear needs like returns and order inquiries. On the other hand, you can use AI application nodes to build AI chatbots that respond to customer questions by judging intents and context in the conversation and using additional training — this approach is especially suitable for Q&A and product recommendation scenarios.
Combining these two methods allows FIRST LINE's chatbot to flexibly handle various complex customer needs, improving overall service quality and efficiency.
Common uses include:
Automatically answer frequently asked questions and guide users to take the best actions via buttons.
Assign conversations to different customer service agents in the team based on specific criteria (such as language, data, or time of day).
Build automated workflows to improve lead development capabilities or speed up problem resolution time.
Plan chatbot and customer scenarios
The primary step in designing a bot dialogue script is to establish a clear and effective structure. This helps prevent conversational confusion or irrelevant answers in real-world use. Below is a more detailed step-by-step breakdown to guide how to systematically design dialogue scripts:
1. Identify conversation requirements
Before starting the design, first understand the goals of the chatbot and the users' needs.
List all expected conversation scenarios, such as greetings, questions, answers, ending the conversation, etc.
2. Structure decomposition and design
Use flowcharts or mind maps to visualize the conversation flow. This includes main branches (core dialogue flow) and branches (dialogue variations for specific situations).
Clarify the antecedent and consequent relationships of each dialogue point and design natural transitions for dialogue in different contexts.
3. Expand dialogue content
Based on the established structure, fill in specific dialogue texts.
Consider different user types and conversation scenarios, designing responses with strong adaptability to handle varying conversational needs.
4. Optimize interaction points
Design key interaction points so that the conversation naturally flows to the next topic or answer after a user completes an action.
These interaction points should guide users to deeper interaction and increase engagement.
5. Testing and feedback
After the initial dialogue script design is complete, conduct practical tests to observe whether user-bot interactions are smooth.
Adjust and optimize the dialogue script based on test results and user feedback.
Through these detailed steps, the bot's dialogue design becomes clearer and more efficient, significantly improving dialogue quality and user interaction experience. Using visualization tools like mind maps to help plan and organize these steps will further enhance the structure and efficiency of the dialogue script.
Understand chatbot operations and trigger points
In FIRST LINE's chatbot, you can build different flows using a series of scenario nodes such as events, conditions, and actions to match various application scenarios.
📅 Events
When a customer sends a message
Wait for the customer to send any message and determine whether it matches specified keywords to continue the flow.
When a customer browses a page
Determine whether the currently viewed webpage matches a specific URL.
When a customer sends mail
When a customer sends mail and it meets the set conditions.
Referral link Ref Link
When a customer clicks into a specific Ref URL, this event is triggered, starting a "shortcut" event for a specific conversation.
When a customer is idle in the flow
When a customer enters a flow and still hasn't sent any message after the set time, it will proactively move to the next node.
When adding as friend
Triggered when a user adds as a friend. Combined with diverse script combinations, sending specially personalized messages can create more familiarity and goodwill toward your business or brand.
🔍 Conditions
Conditions include the following. These conditions can be used to determine different situations within flow nodes, helping you precisely control chatbot behavior and improve the accuracy and effectiveness of overall interactions.
Customer message matches
The customer's message matches one of the set keywords.
Email content
When the content of the mail matches the set conditions.
Business hours interruption
Determine whether incoming contact is during business hours.
Weekday matches
Incoming time matches specified weekdays.
Agent is online
Determine whether the specified or any agent is currently online.
Message type
Determine whether the customer's transmitted message is text or a file.
Incoming channel
Determine the specified conversation channel.
Match customer tags
Determine whether the customer has specific tags.
🚀 Action
These actions allow you to send diverse messages and flexibly respond to different customer needs, increasing interaction rates and effectiveness.
Send message
Send instant messages or images to guide or respond to customers.
Send options
Send up to 3 button options, suitable for providing suggested options to customers, such as predefined question responses or actions that can be taken.
Send quick replies
Send up to 13 button options. Unlike general options, when a customer clicks or there is a subsequent message, the options disappear. This is suitable for guiding customer flows, reconfirming questions, and similar scenarios.
Send carousel message
Send up to 10 horizontally scrollable cards; each card consists of a title, description, buttons, and an image, suitable for sending product or multiple-item information to customers.
Carousel
Send up to 10 image-format cards and add call-to-action buttons to guide customer interaction with the brand.
FIRST LINE AI
Through advanced AI language models, customer questions can be asked more directly and greatly increase accuracy, quickly retrieving knowledge bases and product catalogs to answer customer inquiries in real time and accurately.
Shopping guide links
Feature up to 10 selected products; by sending shopping guide links to customers, they can easily access product information and make purchases in real time.
Image map
Set multiple clickable areas of different sizes on a single image to provide customers with rich information and interactive experiences.
Set customer tags
If the conversation has associated customer data when incoming, the configured tags can be added.
Webhook script
Integrate additional information to other third-party systems or services through Webhook script integration.
Send Facebook subscription messages
Send subscription messages to obtain customer subscription authorization. Even beyond the 24-hour interaction window, marketing messages can be sent to customers within the specified time to increase marketing reach and customer conversion rates.
🧠 Integration with AI
FIRST LINE AI's chatbot adopts complex AI language models and answers based solely on your knowledge base content, automatically resolving customer issues through secure and accurate conversational answers. In addition, the system can recognize and address problems in 40 languages, ensuring appropriate service for customers speaking different languages.
When using the chatbot, you can integrate it with specific flows. When needed, seamlessly hand conversations over to your customer service team to ensure customers always receive the best experience. This highly integrated functionality enables FIRST LINE AI's chatbot not only to respond quickly to customer questions but also to provide human support when necessary, further enhancing service quality and customer satisfaction.
Chatbot design tips
When building a custom bot, there are a few points to note:
1. Specify priority scenarios
In the vast majority of conversation channels, your dialogue with customers is single-threaded, so only one scenario can be triggered at a time in a conversation. For example, if your "ask user for information" scenario has a higher priority than the "recommend products" scenario, and both are at the same level, only the former will be triggered.
You can mitigate this by specifying conditions and different events within each scenario so each scenario can be activated as intended. FIRST LINE allows you to adjust event priorities to determine which scenario should run. In the editor, you will notice a labeled tag with a number beside the event flow — this is the priority. To change priorities, simply drag and rearrange them. This ensures each scenario is correctly triggered under the intended conditions.
2. Provide options and images to enhance user engagement
When interacting with customers via a bot, whether for sales or answering customer questions, avoid leaving customers without choices. Although bots can replace humans in handling many issues, merely asking questions without offering selectable answers may cause customers to abandon the conversation, making the bot lose its basic problem-solving function. Avoid ambiguous calls-to-action, as they make it hard to prompt customers to participate and may even drive them away from the conversation window. To improve interaction quality and customer satisfaction, design clear and attractive dialogue options so customers can easily choose and continue the conversation.
3. Handle exceptions
In some scenarios, even if you design buttons and other messages to guide customers' input, some customers may still type text instead of using the interface options. To handle this, you can add the keyword "*" at the same-level node for fuzzy matching and handling. This ensures the chatbot can still respond and provide effective service when customers do not follow preset options.
4. Avoid lengthy messages
When designing a chatbot, pay special attention to message conciseness. Overly long responses not only make it harder for followers to read but may also prevent them from quickly grasping the conversation's key points. When users need to manually scroll to the beginning of a message to find the topic, it significantly impacts user experience and can lead to visual fatigue and conversation dropout. To improve interaction efficiency, it is recommended to split long messages into paragraphs, streamline content, and highlight key points so followers can understand information more quickly and stay engaged.
Want to build a chatbot? Easier than you think.
FIRST LINE's chatbot has already collaborated with many industry leaders to build custom features for enterprises across healthcare, retail, finance, and more, offering a range of advantages that make the chatbot solution stand out in the market. It also includes conversation role switching, customer tag management, automated segmented messaging, and automatic reply to comments. The chatbot not only strengthens customer service workflows but greatly improves marketing efficiency and customer interaction quality. These features together form a company's core competitiveness, enhancing customer service efficiency and marketing capabilities, making it a powerful tool that brings significant advantages to businesses.
True multichannel integration: supports up to 10 conversation channels, including Facebook Messenger, Instagram, LINE Official Account, live chat, and includes web calling channels, offering the most complete customer service features on the market.
Flexible trigger mechanisms and actions: provides various trigger mechanisms and more than 40 bot operations, making chatbot operation more flexible and user-friendly, capable of adapting to a variety of complex interactive scenarios.
Integrated applications: the chatbot includes integrated applications such as knowledge bases, ticketing, and product catalogs, creating a complete solution capable of meeting enterprise needs in different scenarios.
It also includes conversation role switching, customer tag management, automated segmented messaging, and automatic reply to comments. The chatbot not only strengthens customer service workflows but greatly improves marketing efficiency and customer interaction quality. These features together form a company's core competitiveness, enhancing customer service efficiency and marketing capabilities, making it a powerful tool that brings significant advantages to businesses.
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