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Nov 14, 2024 | 3 Mins read

What is a Dialogue Builder? The Essential Tool for Automated Customer Support

A dialogue builder is a tool for creating conversation flows in chatbots and virtual agents to deliver customer support. It helps you direct the conversation flow based on the user's actions and responses. This article will deep dive into what a dialogue builder is, why it’s important, and what to look for in an automation platform.

What is a Dialogue Builder?

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A dialogue builder is used to create the conversation paths that chatbots and virtual agents follow when talking to users. These automated systems are used in customer service to answer common, simple questions without human intervention. With a dialogue builder, you can map out different conversation scenarios and guide customers to resolve their issues through pre-defined options

Chatbots vs Virtual Agents

Before we get into dialogue builders, it’s important to understand the difference between traditional chatbots and AI-driven virtual agents as the tools used to create their dialogues are quite different.

Traditional chatbots are based on rule-based algorithms that respond to specific inputs with pre-set answers usually powered by if-else statements. Dialogue builders for chatbots usually involve decision trees that dictate the conversation flow based on recognized keywords or phrases. For example, if a user asks “order status” the chatbot will respond with an answer linked to

On the other hand virtual agents use artificial intelligence, specifically natural language processing (NLP) to understand and respond to user intents not just keywords. This allows them to handle different phrasings and even minor typos, they are more flexible and efficient. But even with NLP, humans must carefully craft dialogue flows to get accurate responses, hence the need for user-friendly dialogue builders.

What to Look for in a Dialogue Builder

When choosing a dialogue builder, especially for multiple customers it’s important to consider multiple factors into account. The key ones are as 

No-Code vs Low-Code

Depending on your team’s technical skills you may choose between no-code or low-code. No-code is for non-technical users, and visual interfaces are for customer support teams. Low-code is for tech-savvy users, with more customization options but requires some coding knowledge.

AI Integration


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Advanced dialogue builders often come with AI capabilities that help the chatbot understand and respond to customer queries. These platforms may use historical support data to identify common customer issues and train the virtual agent to answer those questions. This customization ensures the bot is tailored to your brand not gene

Multilingual Support


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If you’re operating in multiple regions a dialogue builder with multilingual support is a must. Choose platforms that offer native language support not just translations as this will make a big difference in accuracy and user experience in languages other than English.

Rich Messaging Options

While allowing users to type freely is important, rich messaging features like buttons, quick replies and image carousels can increase user engagement. These tools can streamline conversations and make it easier for users to navigate through dialogue flows and get to their

CRM and API Integrations


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To deliver personalized customer interactions your dialogue builder should support integration with your CRM and other backend systems. This allows the virtual agent to access customer-specific data and create personalized conversation flows that mimic human interactions.

Choosing the Right Dialogue Builder for You

Choosing the right dialogue builder is more than just the core features; it should fit into your overall automation strategy. A good dialogue builder can boost your automated support and free up human agents to focus on complex cases that require human attention. By investing in a good dialogue builder you can upgrade your customer service and provide a smoother and more efficient experience
 
 Book a demo here today to get a personalized demo for IrisAgent here and leverage the power of dialogue builder

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