A Chabot can be a game-changer for your website if you match it with your needs. This program is powered by AI and machine learning to mimic human conversations. It will give you 24/7 support services to your audience and provide appropriate responses for their decision making. This is arguably one of the important benefits that come with creating a Chabot for your website.
So, how do you get a Chatbot for your website? Learning how to create a Chabot is not a complex process especially when you got the skills to do so. There are many solutions available online although experts can do a better job because it is something they have learnt and are trained to do. If you want to create a Chabot for your website, here are 5 easy steps to follow:
- Develop a workflow hypothesis
A Chatbot is designed around your specific needs and requirements. Therefore, you should create various hypotheses for your bot using queries that match your needs. It will be important to use chat history to get to understand search patterns and queries to help in building a workflow in an “else/if” format.
You can also connect to other teams in the organization such as support and sales and draw conversations from emails and such. There are many ways to pull data for hypotheses. Your hypotheses should resemble a tree structure and give room to connect to support.
- Start Testing your Hypotheses
Once you have developed several hypotheses, it is time to start deploying and testing each one of them. Make it LIVE using one of your hypotheses. You need to learn how workflows for your hypotheses are built. Get started using freemium Chatbot platforms to learn important basics about chatbots and how to build them.
Using free Chabot platforms, you can build a bot workflow and set it up on your site. It is important to test your hypotheses before deploying them for use by your visitors.
- Test the Chatbot Workflows
Testing hypotheses needs the use of metrics to evaluate the efficiency of your system. There are key performance indicators to look at. The basic include bot efficiency, which has to do with the ratio of the number of conversations closed to the total conversations made.
If you have chat agents on LIVE chat, you can also measure performance using agent bandwidth savings. This is the number of hours spent by agents in the past less the number of hours spent after including chatbots. These tests and KPI metrics must be applied to confirm whether the desired results are attainable.
- Refine the Interaction Process
You may need to smoothen your interactions in a seemingly less robotic approach through Natural Language Processing (NLP). Rather than relying entirely on rule-based bots, it may be important to look for other triggers. You will need NLP in such scenarios as follows:
- Allowing users to type instead of clicking the available options
- Differentiating between nouns and verbs with similar spellings
- Conflicts of purpose such as best shoe for men vs best men shoes. The first option is looking for value whereas the second one is seeking a list.
Refining your Chabot using these scenarios and much more will make it more effective.
- Optimize your Chabot
Keep learning and improving your bot. Optimizing your bot will help you realize your KPIs and set objectives for having it. At this step, you need to repeat step 3 – 5 until you get the best responses from your Chabot. This requires close monitoring and studying of all outcomes.
Continuous evaluation of your Chabot is vital to its full development. Therefore, there should be a constant check against the already predetermined KPIs. Building a Chabot is a great investment and will cost you time and money. Therefore, it will be good to keep reviewing it until you get the best outcomes.
Build your Chabot Today!
There are two ways to build your bot: either hire a professional or do it yourself if you have the skills needed to do it. At the end of the process, your bot should be able to study requests and provide the right responses. This can only be realized with a systematic approach to its development as outlined here!
