Making Knowledge Base Count for Customer Experience

Currently companies are no longer struggling to recruit agents for their customer care service. Most of the customer care units have turned out not to be very effective. A knowledge base for customers is the solution to all your customers’ problems.

Yonyx enables organizations to create decision tree driven interactive guides for troubleshooting & how-to information for customer self service.

Customers do not have to pick up a phone to call agents who at times are very busy attending to other clients. Here are ways on how you can make your knowledge base a quick solution.

A problem solving information

A knowledge base is the fastest way customers get their problems solved. It should be simple and easy to understand for your customers. A problem solving knowledge base will save you from receiving a lot of calls from customers seeking for clarification.

A quick-to access client information

Customers do not like waiting especially when they have presented a query. Create a knowledge base that customers will be able to access directly. A knowledge base requiring customers to register or enter unnecessary information is a complete headache.

Easy to find information

Waiting for customers to ask where to find your knowledge base gives a bad signal. Add your knowledge base link to important documents, customer service pages and how they can find it on Google.

Update your customer information

Customer service agents should check for frequently asked questions from customers. These questions will guide them to create more content that will be useful to customers. Having surveyed through the knowledge base it’s also easy to find answers to questions asked from customers.

The key to successful self service is a rich knowledge base organized in a way customers love. We help you with that.

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Create interactive decision trees for customer service management, cold call scripts or self-service. Improve sales performance metrics and customer delight across your call centers.

Interactive Decision Tree