Boost your metrics and ROI by using sentiment and personality to make your bot more human-centric

Most chatbots adhere to rules, read scripts, only understand keywords and aren’t very smart.  They can’t interpret what the user really intends and if you get them off-script there’s no telling what will happen.  Often, this leads to frustration and users end the chat short, or eventually get handed off to a human, who then asks them everything over again making things worse.

This frustration leads to low success and high dissatisfaction rates with your customers, meaning users won’t want to use your chat solution in the future. This directly impact opinions about your company’s support as well as increases Tier-0 staffing costs and frustration.

Who wants to use keywords to trigger a set of rules, when you could converse in full sentences and have the system understand you, show empathy and crack a joke once and a while.

We’ll talk about how to build a more human-centric conversational interface to boost your satisfaction and hopefully your deflection rates, saving your Tier-0 support time and money.

Date

Mar 30 2022
Expired!

Time

1:15 pm - 2:00 pm
Category
Jonathan Wheat | Head of Product Development | Nearly Human AI

Speaker

Jonathan Wheat | Head of Product Development | Nearly Human AI
Email
jonathan.wheat@nearlyhuman.ai

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