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Customer support isn't paid well, so they often aren't motivated to become very skilled beyond the level of a chatbot before they move on to other things. So the interface to bad docs doesn't matter much. And good docs are very hard to produce. AI magnifies problems when good docs are lacking.


> aren't motivated to become very skilled beyond the level of a chatbot

Everyone has some amount of common sense. The current state of the art does not, so it cannot make decisions. This is why these things can't currently replace real support beyond being a search function exceedingly capable of interpreting natural language queries and, optionally, rephrasing what the found document says to fit onto the query better

You can't even have these systems as first line support, verifiying whether the person has searched the docs because you can't trust it with a decision about whether the docs' solutions are exhausted and human escalation is needed. There currently simply needs to be a way to reach a human. I'm as happy as the next person to find that a no-queue computer system could solve my problem so I use it when my inquiry is a question and not a request, but a search function is all they are


Chatbots are loaded with issues. But I have also had a lot of issues with humans.

By the time I have an issue, I have usually covered basic ideas and FAQs already. Currently, I tend to use perplexity supported by ChatGPT before engaging online tech support, and I create a document for them before beginning.


> Customer support isn't paid well

"We choose not to pay customer support well".

I've worked at companies where customer support was both strongly supported, paid well and given the tools to do their jobs well.

They were incredible.


Microsoft used to have some managers do support calls. Absolutely amazing service.




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