Implicit Feedback:
What Users Don’t Say Matters

• Negative Implicit Feedback: Identifies signs of frustration, such as abrupt conversation drop-offs, repeated rephrasings, or critical language that indicate dissatisfaction.

• Positive Implicit Feedback: Tracks prolonged engagement, repeated interactions, and affirmative language that signal user satisfaction even without explicit praise.

Explicit Feedback:
Direct Signals You Can Act On

• Negative Explicit Feedback: Recognizes clear dissatisfaction, such as thumbs down ratings, complaints, or requests for corrections.

• Positive Explicit Feedback: Captures thumbs up, high ratings, or direct compliments, confirming what’s working well.

Automatically Organized
& Actionable

• Pinpoint areas of improvement for model refinement

• Pinpoint areas of improvement for model refinement

• Act faster on real user concerns 

AI-Powered Topic Analysis

Automatically detect recurring themes and topics in conversations.

User Intent Recognition 

Identify the goals and objectives behind every interaction. 

Sentiment Detection 

Analyze the tone of user messages in real time to determine if they are satisfied, frustrated, or neutral.

Advanced Emotional Analysis 

Go beyond sentiment with 27 distinct emotional states detected in user interactions. 

Data-Driven Optimization 

Use these insights to enhance user experience and proactively address concerns before they escalate.

Optimize
your chatbot experience with deep user insights

Nebuly helps you understand user interactions and collect real-time feedback—so you can continuously improve response quality, reduce friction, and boost engagement without guesswork.

Optimize
your chatbot experience with deep user insights

How does Nebuly help improve my LLM’s response quality?

Nebuly captures both explicit and implicit user feedback, analyzes conversation patterns, and detects sentiment and emotional cues. This helps you pinpoint where your model underperforms and refine responses for better accuracy, engagement, and user satisfaction.

What’s the difference between User Intelligence and User Feedback?

• User Intelligence tracks themes, intents, sentiment, and emotions to help you understand what users need from your LLM.

• User Feedback captures direct and indirect signals to show how satisfied users are with responses and where improvements are needed.

Can Nebuly automatically detect user frustration or dissatisfaction?

Yes! Nebuly’s AI-powered sentiment and emotional analysis identifies frustration, confusion, and dissatisfaction even if users don’t explicitly say it. It detects behaviors like abrupt conversation drop-offs or repeated rephrasings to flag potential issues early.

Does Nebuly work with any LLM model?

Absolutely! Nebuly is model-agnostic and integrates seamlessly with GPT-based models, open-source LLMs, and custom AI implementations through an easy-to-use API.

How do I integrate Nebuly with my chatbot?

Nebuly offers a seamless API integration that allows you to start collecting user insights without extra development work. You can begin optimizing your LLM’s user experience right away.

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How TextYess built highly engaging AI Shopping Assistants

How TextYess built highly engaging AI Shopping Assistants

Fabio Ricciato
Head of IT Customer Journey & Digital Architecture, Artificial Intelligence and DEX Iveco Group

Fabio Ricciato
Head of IT Customer Journey & Digital Architecture, Artificial Intelligence and DEX Iveco Group

We’ve been extremely happy with the close collaboration with Nebuly. As the number and complexity of GenAI use cases increase, the need for a solution like Nebuly is clear.”