Landbot: From Designing a Conversation to Building a Chatbot

What makes chatbots so relevant now? What are the advantages of automated messengers over human conversations? The options for B2B (Business to Business) and B2C (Business to Consumer) communication are already extensive. We have phone conversations, instant messaging, email, snail mail, and the WWW. What is missing?

What business value do chatbots add? Under which circumstances are they superior to the existing modes of business communication?

This test will help you remember the rationale for chatbots and support your efforts to convince businesses why they need chatbots.

A demonstration of a live AI-NLP chatbot implemented on the IBM Watson platform

This quiz will solidify the meaning of a common acronyms in use within the Artificial Intelligence-driven Chatbot universe.

A recorded interaction with BAXBY, a training and services Chatbot that drives traffic to businessanalysisexperts.com

Consider the pros and cons of each chatbot type to decide which is better suited to your unique situation.

Test your understanding of the differences between chatbot types.

In the context of a chatbot, user experience encompasses any interaction between people and technology within the bot. Lean business analysis up front clarifies how you want your user to experience your chatbot.

We introduce you to Baxby, the rule-based chatbot that is at the center of this course. We start with an interview with a subject matter expert explaining the current process that Baxby should support.

Although the user experience determines the success of the chatbot, the driving force behind the development of the chatbot has to be clearly articulated business goals. We need to recognize the business problems and opportunities that Baxby needs to address,  because great chatbots have to satisfy both business needs and user goals for the selected target audience.

Before you start designing the content of the chatbot, you need to know what can it do for the visitor? The desired outcomes have to support the business goals, but first and foremost, they have to satisfy the visitors.

Determine criteria the company will use to ultimately determine whether the development of a chatbot was a good investment.

We introduce initial guidelines for guiding the user to the suggested solution by analyzing the potential outcomes and creating groups that share a common element.

Successful chatbots simulate conversations with knowledgeable people who achieve the desired outcome. The conversation has to offer the user questions or choices that the user selects to advance the conversation. Start with identifying who has the needed expertise.

A choice table defines the decision points that will lead a visitor from initial contact to the desired outcome.

Test your understanding of the need for and use of visitor choices.

Human conversations tend to follow a natural flow and have several characteristics in common. We introduce how to incorporate those characteristics into a chatbot conversation to make visitors more comfortable using the bot.

Test your comprehension of the importance of structure and visibility for a chatbot.

We present this spin-off of Use Case modeling which is a great vehicle for depicting logical paths.

Whether you like spreadsheets or simple tables, we show you what a conversation flow looks like in simple tabular format.

Figuring out how to show the flow or the conversation is not easy. Turns out that it is often a personal preference that makes the difference. We are going to introduce three methods that have worked for us.

Test your understanding of the modes for depicting conversation flows.

Meet Lucidchart, a free online tool for drawing diagrams of all kinds and a great tool for thinking you way through the logical paths of a chatbot before you start creating it. This is powerful regardless which chatbot platform you choose.

Learn how to evolve a decision tree that represents the flow of a conversation without considering the wording of each element.

This test is designed to help you remember how conversation flows can be depicted using a decision tree.

We are going to demonstrate in the chatbot how to implement a complex condition that simplifies the entire conversation flow.

The proper time to request a rating for the chatbot is as soon as the visitor has completed a path and the experience is fresh in his or her mind.

Before we move into considering how to construct the elements of the conversation, some final thoughts on how to evaluate the quality of your designed conversation flow.

This will test your understanding of the conditional logic concept in a chatbot.

To create a great conversation with a chatbot, you need to first understand what makes for great conversations with people.

One of the most important decisions you will make early in the development of your chatbot is what personality should your bot have. All of the work involved in creating the bot has to align with its personality.

This is to anchor your awareness of how to construct a natural communication flow.

These 8 simple rules will help you create a conversation that people will find natural.

Use brain-based studies to lead the user down the right path with precision.

A picture is worth a thousand words is a fundamental truth when it comes to effective chatbots.

Testing your grasp of the role non-conscious brain plays in chattbot interactions.

Learn about getting a Landbot account and a quick overview of the home page functions.

See examples of Landbot's  plethora of templates covering many standard chatbot situations.

Learn how to create a simple chatbot based on a Landbot template.

Reinforcing the location of the knowledge base and help facilities for Landbot.

Create a simple chatbot using a standard template from Chatbot. This is kind of like the traditional "Hello, World" bot, but with a slight twist.

A quick run-through of the features and functions that you can configure for the Landbot platform.

Navigating a tool like Chatbot can be challenging. What do you remember of the overview of functions?

Use the decision tree from Lucidchart with the brain-based messaging lessons from section 6 and learn how to develop the chatbot in Landbot step-by-step.

Just like when meeting a new person, you never get a second chance to make a great first impression. Your welcome message needs to rock. One part of achieving that is by speaking the language of your audience.

The core structure of a rules-based chatbot is the paths that it offers visitors.

Create and name variables to capture visitor choices.

This will test your understanding of what kind of welcome message you should create and how to follow the decision tree to get to a better chatbot.

Adding more choices in series for visitors' decisions.

Pictures speak louder than words and allow the user to see the options.

Cement your understanding of the rationale for deciding on the sequence of implementing a chatbot.

Landbot allows you to easily incorporate fancy fonts and pretty much any look you desire to the messages.

You can discover the class name of any element in your chatbot using the features of some browsers. We'll show you how to do it in Google Chrome.

The rating block in Landbot allows you to capture feedback.

Test your recollection of adding CSS and HTML to your messages.

The Set Variable function allows you to build strings of text for effective messaging.

Check you understanding of the advanced options available for variables in Landbot.

Learn how to transition from the simple chatbot to a live chat assigning the chat to the right person in your organization.

Although the sequence in which you create blocks simplifies your workflow, it is not cast in concrete. You can change anything in the chatbot anytime but you must be aware of the consequences.

Finalizing the paths of the chatbot extends its usability and takes advantage of existing blocks to simplify the structure.

A Persistent Menu allows visitors who are familiar with your organization quick and easy access to selected choices. Just beware that jumping into the middle of a chatbot can be just as bothersome as jumping into a human conversation because you might not have the right data available.

Now that you have completed all lessons in this section, it's time for a reality check.

Templates are a great time-saving asset, but they can also become boring if they are overused by multiple chatbots.

Landbot gives you the ability to personalize your chatbot to fit the environment around it. Keep in mind that any changes you make still have to be in sync with your chosen Bot Personality.

If you know CSS, you can really make your chatbot unique. If you don't know CSS, find a developer friend who does.

This quiz tests your understanding of the design options available to make your Landbot Chatbot stand out.

Learn how to make your chatbot development environment efficient to use and save time developing chatbots.

Never forget that anything that goes up on the Internet needs to be found. Search Engine Optimization should never be neglected, even for your chatbot.

Test your retention of the System Settings and SEO Optimization section.