How to train a chatbot – The non-technical way!

Chatbot for Training: Nowadays, businesses use many ways to talk to their customers, and one of the most popular ways is through a chatbot.

Think of a chatbot as a representative of your company.

It’s the first thing customers see, so it’s important to make it as smart as possible. To do this, you need to find the best chatbot development companies and work with them.

But it’s not enough to just create a chatbot and launch it. You need to keep testing and training it to make sure it’s always improving. ‘

This is especially important after you start selling your products because you want to gain your customers’ trust.

Here are some tips to help you with this process:

Creating a Chatbot for Training: Know Your Target Audience

When making a chatbot for training, it’s important to know who your target audience is. To do this, you need to gather and analyze customer information.

This includes things like their age, gender, location, language, job title, hobbies, interests, and purchasing behavior.

If you don’t have all the information you need, you can send surveys or have customer meetings to fill in the gaps.

Once you have the information, look for patterns or things that are common among your customers.

This will help you create a persona for your target audience. Keep in mind that you may have more than one persona, so create multiple profiles if necessary.

After you have created your target persona, you need to understand their main requests.

To do this, visit your customer care or technical support and find out why customers are contacting your company.

This will help you understand the most common issues your chatbot should address.

At this stage, you don’t need to be too specific, just define the main types of issues your customers have.

By knowing your target audience and their main requests, you can create a chatbot that is tailored to their needs.

This will help you provide better training and support to your customers.

Categorize customer requests

Categorization of Customer requests helps businesses make a chatbot more efficient and responsive. 

To make you understand, what categorization is, here is the example

If you visit a Software development company webpage for concerns relating to mobile apps like cheap mobile apps, what ionic apps, future of apps, etc then these all can be put under the category of Mobile application development 

Now, this categorization helps the chatbot to effectively respond to the user’s query.

Datasets – Chatbot for Training

When you created categories based on requests, you need to mention as many ways of saying/requesting as possible. The more different ways of sayings you collect, the more data you should train a chatbot and prepare to get a more natural way of interaction.

There are two ways to train a chatbot according to the availability of the dataset,

Train with the available data: Find previous interactions with your customers from call logs, scripts, and email chains, analyze FAQs, and check in official emails to find repetitive requests then create a dataset to train the chatbot.

Train with the pre-made dataset: these ready-to-use datasets are useful when you need to train your chatbot to Natural Language Processing fast. This dataset has already made questions and answers and helps you get the basic information.

Testing Process

First is to ask your co-workers to join the testing and collect training data from their interactions. Although, remember that your data can be biased as they are familiar with specific terminology, your company, services, etc.

Also, you can ask your real customer to take part in beta testing of the bot.  you can also ask your current clients to chat with the bot for some reward like a discount or a coupon.

A progressive mindset to be implemented

Keep in mind that you need to improve your chatbot constantly. A chatbot analyzes the conversation it had with its users to help them become more smart and effective

Firstly, you need to analyze in which areas your chatbot is lagging and need help and practice, now, after identifying the problem take proper measures to rectify it for example if the bot finds it difficult to understand the intent of the conversation then make it practice more related to this and provide it with the proper date so that it can work better

Provide proper support to your chatbot

We recommend you have a person who will provide the necessary chatbot support to your client. The main task of this person would be to take over the communication process if something went wrong. This will help you retain the lead and potential client.

Also, be sure to add a Live Chat option or train NLP to understand this request. This is key so a user could contact a real person if something goes wrong.

Conclusion

Without any technical knowledge, you can still help in the task of training a Chatbot. This is such a simple task as it depends on the data and the users. Hope this blog helps you in understanding the depth of chatbots.

Read More: The Future of Chatbot from the Expert