Sure, maybe we all love designing a witty banter over witty copy bot that takes cracks at its users. But honestly, these bots suck to really use.
The most successful bots are helpful and straightforward. You can design a bit of personality if you want, but ensure that it takes a back seat to clear assistance.
5. Keep your Knowledge Base up-to-date
Your chatbot is only as good as the data it uses.
We see this a lot – a team that wants a fax lists chatbot to magically solve their internal data problems.
‘No one knows what information is over witty copy correct, so we’ll build a bot to sort it for us!’ Unfortunately, at least one person on your team will need to sort it out before training the chatbot.
Once your base data is accurate, keep it updated.
And assign someone to maintain documentation, or connect your chatbot to sources that auto-update, like a CMS or database.
6. Be upfront that it’s a chatbot, not a human
There are plenty of stories of business chatbots that users believe to be human (at the end of the day, we all send pretty similar emails, don’t we?).
Avoid confusion by clearly introducing the gpt-4: a multimodal revolution in artificial intelligence bot as a bot. It helps set expectations for the interaction, and users are more likely to be forgiving if something doesn’t work perfectly.
7. Design new workflows around your chatbot
A chatbot works best when it’s embedded into the flow, not just tacked on beside it.
Make it the default way to start a support over witty copy request, submit a form, or access internal documentation.
For example, route users through the bot first before handing off to a human, or use the bot as the single point of entry for common questions.
If it’s central to the process, usage becomes whatsapp filter automatic (and so does the value!).
8. Use LLMs for flexible conversations
Chatbots used to suck, but now – largely thanks to LLMs – they don’t have to.
Most chatbots these days are LLM agents that use a combination of LLMs and bespoke business logic.
They can have natural conversations (thanks to natural language processing), but still stick to your company’s guidelines – communicating real information, but sounding like a human at the same time.