The best way to reduce user confusion and questions is to provide guided support. Zinger has developed best- practice frameworks to help with user -success management. Below are some key use-cases for guided onboarding.
- Role Onboarding
- Guided Process/Task Support
- Proactive micro surveys and quizzes to understand knowledge gaps and issues faced
Users are not looking for answers. They are looking for solutions to their problems. It is important for the chat assistant to be able to ask questions to understand the problem and then provide the best response and next step recommendations. Zinger’s recommendation engine has the following capabilities. It can:
- Ask discovery questions proactively
- Predict the next user questions
- Recommend the next best action
An intelligent chatbot needs to know when to defer to human intelligence. Complex situation support requires human intervention, which can in turn make the chatbot smarter.
Being able to assess user sentiments, route to the right party for help, and close the response loop by reminders and follow-ups are key to building user trust. Zinger helps with
- Routing to the right SMEs and Helpdesk
- Routing responses to the recommended audience
- Generating escalation triggers based on sentiment and complexity scores
Auto-generates FAQ database by parsing documents and videos.
Auto-identifies tasks from user guides and help manuals.
Auto-creates Intent and Entities from API documentation.
Delivers superior NLU performance compared to popular NLU Engines.
Uses Large Language Models,
Pre-Trained Models, and Generative AI to reduce training samples and training iterations
Creates dynamic guided bot flows from user guides and training manuals, automatically.
Auto-creates forms from API documentation.
Uses AI to generate qualifying questions and route to helpdesk.
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