Shasta helps departments provide dependable, customer-focused support by pairing strong answers with an ongoing process to review and improve the experience.

A high-quality chatbot experience includes consistent, accurate, and timely responses that meet user expectations and align with the department’s service goals. It also reflects ongoing collaboration between IT and the administrative department to monitor performance, refine content, and ensure the chatbot delivers clear, helpful, and accessible support.

A successful chatbot should demonstrate several key characteristics that contribute to effective, engaging, and trustworthy interactions. AI Solutions will guide the department in building and evaluating chatbot performance based on the following quality traits:

1. Contextual Responses: Chatbots need to understand the context of a conversation to provide relevant and accurate responses. Leveraging advancements in natural language processing (NLP) can help achieve this.
2. Human Handover: It's important for chatbots to recognize when a conversation requires human intervention and seamlessly hand over the interaction to a human support agent. 
3. Great UI/UX: The design of the chatbot should be simple and intuitive, making it easy for users to interact with and find answers. 
4. Personalized Support: Chatbots should be able to adjust their tone and language based on the user's needs, providing a personalized experience. 
5. Accessibility: Chatbot interfaces should be accessible to all users, regardless of language proficiency or any visual or hearing impairments. 
6. Security: Ensuring that chatbots are secure and transparent about data collection is crucial, especially in the wake of recent data breaches. 
7. Explainability: Chatbots should be able to explain their reasoning and actions, making their responses more understandable to users. 
8. Learning Ability: Chatbots should be able to learn from the knowledge sources and customer interactions to improve over time, referencing relevant information for future conversations. 
9. Fail Usefully: When a chatbot encounters a request it cannot handle, it should escalate the issue to a human agent and record the data for future improvements.
10. Customer Experience (CX) First: Chatbots should prioritize providing a great customer experience, prompting users with options and escalating complex requests to human agents when necessary