Sentiora

What is Sentiora?

Sentiora is a real-time monitoring and analytics tool designed for website chatbots. It allows businesses to detect risky, misleading, or off-tone messages generated by their chatbots, ensuring effective communication with users. By analyzing tone, sentiment, and keywords, Sentiora provides insights into chatbot interactions, helping organizations maintain brand voice and address potential issues promptly.

How to use Sentiora?

1. Sign up for a Sentiora account and choose a pricing plan that suits your needs.
2. Install the lightweight script provided by Sentiora on your website to enable monitoring of chatbot interactions.
3. Customize your keyword alerts and rules to specify what types of messages you want to track.
4. Monitor real-time chatbot interactions through the Sentiora dashboard, reviewing tone and sentiment analyses.
5. Receive email alerts for any flagged messages that may require immediate attention.

What are the main features of Sentiora?

• Real-time monitoring of chatbot interactions.
• Tone and sentiment analysis to gauge emotional responses.
• Keyword tracking with customizable alerts for specific terms.
• Risk classification to categorize messages based on severity.
• Email alerts for quick notifications on off-tone or risky messages.
• Conversation export and logs for detailed analysis and record-keeping.
• Pre-made keyword templates for common monitoring scenarios.

Who is Sentiora for?

Sentiora is designed for customer experience (CX) teams, chatbot developers, and businesses that utilize chatbots for user interaction on their websites. It is particularly beneficial for organizations that prioritize maintaining brand voice and ensuring positive user experiences through effective communication. By providing tools for monitoring and analyzing chatbot conversations, Sentiora helps teams quickly identify and address issues that may arise during user interactions.

What are the use cases of Sentiora?

1. Monitoring customer service chatbots to ensure they provide accurate and helpful responses.
2. Analyzing chatbot interactions during high-traffic periods to identify common user frustrations.
3. Reviewing chatbot messages for compliance with brand guidelines and tone consistency.