Chatbots already exist, and have done so for decades. But the classical bots from “ye olden days” have their limits. They rely on a database of thousands of pre-made answers to pre-thought up conversation scenarios. Every time a user writes something, the bot looks through its database for an answer. If a user’s question alternate a little from the bot’s script, it’s followed up by a standard “I don’t understand the question” reply. It’s a stone sure way to find out if that sweet girl you’re talking to on Tinder is actually a human..
Chatbots are already here, but in the next couple of years, we’re going to see a lot more of them. Frameworks for them are both affordable and easily adaptable to specific companies. The chatbot can become part of a company’s support or information departments, without having to be built from scratch. But how do you test one?
A pension company digitised the flow of receiving, treating and accepting requests for pension products. To the pension workers, what before took place on paper, pen and in ring binders, now became hidden. Though creating a demo video for this project only took a few days compared to the amount of […]
I’ve gone through several iterations of coming up with test persona names in my latest project. In the beginning I started thinking about names for my amusement. But after some time I realized that there’s actually something to gain from considering naming practices when it comes to test data. Setting […]