11 Steps to Design a Voice-Embedded Chatbot for 2024

    Voice-Embedded Chatbot

    With great voice-embedded chatbot design, developers can improve the user experience and build solid business-customer relationships. In 2024, we will see a surge in chatbot usage.

    According to Chatbot Market Report by Markets and Markets,


    Conversation Design is a complex subject; a lot depends on the project, the resources, and the company involved. This article explores the 11 steps that help developers to design a voice-embedded chatbot.

    Step 1: Understand the Goals of the Conversational Interface

    Before designing a voice-embedded chatbot, they must determine the main goals of the conversational interface. It can be selling products or services or a medical examination to navigate users to the right website page. This helps them find relevant information quickly to engage them in long conversations and generate leads.

    Defining these goals will help them make decisions while designing and also help in setting up the right metrics and KPIs to measure the success of this Voice-embedded chatbot once it is live. To fulfill these requirements, they can reach out to the stakeholders, learn their needs and expectations, and consider whether these goals fit the voice bot.

    Step 2: User Personas

    The development of chatbots requires them to know their target audience. For this, they can circulate an easy, user-friendly feedback form. Also, they can analyze the contact history (emails or tickets the client’s contact center receives) and learn what target users are looking for.

    Developers must start with user research, setting user personas and the parameters of the general characteristics of their target users. This helps them check whether their voice-embedded chatbot goals match the requirements of targeted users.

    This way, developers can discover the popular topics they have asked for.

    Step 3: Mapping Topics for AI chatbots

    Developers must determine whether their chatbots will answer a wide range of queries or focus on limited topics. They will be able to map which requests their AI chatbots will understand and which answers they can provide.

    It is a crucial step in designing Voicebot as conversational interfaces cannot handle human knowledge.

    Therefore, the more specific the chatbot’s knowledge base is, the better customer satisfaction it will give its users. This is because of semantic ambiguity. The narrow context helps the chatbots choose the correct answers to the query.

    Step 4: Voice Chatbot Personality & Voice Tone

    After topic mapping, it is time to define the chatbot’s personality and tone of voice. The main thing they must focus on is that their AI-based chatbots speak in the same language their target users speak.

    Its overall personality reflects the brand they are working for. They need to decide on the formality and informality of the voice chatbots. Will it be serious or fun, lengthy or concise, etc.? This is a crucial step in developing chatbots. It will influence the stylistic choice while drafting the copy and designing flows.

    Developers are suggested to play with the pons and cultural standards while designing voice chatbots. They must give the bot a human voice to create an emotional connection with the users and improve the conversational customer experience. They need to be consistent always while creating a chatbot personality.

    According to an article by ServiceBell,

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    Step 5: Conversational Bot Infrastructure

    In this step, developers must create architecture behind every activity of their conventional bot. Here, they must define how the voice bot will introduce itself, how it will answer the queries, and how it will retrieve data—setting infrastructure based on which conditions it will consider before answering and how users will achieve their goals. In addition, voice-embedded chatbot designers need to design the repair sequences. Some tips for these are:

    • Do not blame users
    • Give recommendations to continue the conversation
    • Provide the opportunity to contact humans.

    This can be done by email, ticket, or real-time live chat. This ensures customers are heard and increases customer experience.

    Step 6: ChatBot Prompts & Copywriting

    Developers must ensure that their chatbots are clear and concise, availing much information in a few sentences in the easiest way possible. Adding a button at the end of the text, allowing users to ask more, is an excellent option.

    Consistency in the voice-embedded chatbots’ personality and tone of voice is critical. The channels developers use generally solicit the use of various written and spoken languages. Because of this, they are allowed to use abbreviations, emojis, and some characteristics of a spoken variety, but it still is not a face-to-face interaction.

    Step 7: Prototype Testing

    Once the main conversational Flow and prompt are done, it is time for an early user test. While developing voice-embedded chatbots, they need a prototype to test its user interface and a speech synthesis tool to record answers.

    To test the conversation interface, they can use the Wizard of Oz method that presents the prototype as the final software. This makes the user believe it is the original voice bot, in which the responses are human-generated.

    They must conduct these tests as soon as the prototype is ready to find out what flows and wordings are not working as planned and change them before they are executed.

    Step 8: Natural Language Understanding (NLU) Setup

    NLU is a component that allows the chatbots to understand the inputs expressed in natural language. Currently, not all bots use NLU, as some focus on Conversational Flow, where users can only select options and cannot chat freely.

    Voice chatbots using NLU will offer a better natural conversational user experience. Developers need to set up NLU to improve voice bot performance constantly.

    They must select good training phrases for the Machine Learning algorithm and keep tuning set.

    Step 9: Flows Implementation

    It is time to implement chatbot flow by setting its features to engage visitors with quick questions and answers. Developers can convert this voice-embedded chatbot flow into a more straightforward stage called a node with the help of different actions, like setting a welcome greeting, collecting user data, and providing various alternatives to the request.

    They must ensure the chatbot’s Flow is as conversational as possible to improve customer experience. Adding visuals in videos, emojis, and gif forms makes the bot quite interactive.

    They must ensure the voice bot design is a conversation with open communication. This allows them to understand customers’ requirements better and collect more valuable information. Designing a bot with human support is essential and must avail human agents whenever needed.

    Step 10: Making Voice-Embedded Chatbot Live

    After following the steps mentioned above to design a voice-embedded chatbot, from goal setting to prototype testing and flow implementation, the conversational chatbots will go live into production.

    Also Read: Best ChatBot Builders Businesses Must Know About

    Step 11: Chatbot Metrics Analysis

    Even though the voice chatbot is live, the final stage of design is to analyze the chatbot’s performance. Is it user-friendly? Is it achieving all the goals that were expected?

    Developers can measure chatbot metrics by the honest conversations the bot transfers to human customer support. This will analyze the capability of the bot to engage customers by resolving their queries.

    Measuring how many successful conversions are done by bots where no human interactions have been done. Do NSP surveys to calculate the score and know how satisfied customers are with the voice-embedded chatbot’s responses.

    According to ChatBot’s Article,


    Wrap up

    Following each step mentioned above, developers can design haul for their customers by engaging them interactively. Also, they must stay updated with the latest tech trends to update or improve their Chatbots. This will help them to stay ahead in 2024 and beyond.

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