Why Explicit Feedback And
Standard Analytics Can’t Help You

Only 10% of users give
explicit feedback

You don’t learn much from
 “churned users” dashboards

Manually reviewing conversations
in a spreadsheet is dull

Your Users' Implicit Feedback Is Gold.

It’s the most valuable signal you’re not acting on — yet.

Interaction analytics

Understand What Users Really Needed — Not Just What They Typed

Analyze raw conversations to extract hidden signals: user goals, repeated attempts, confusion patterns, and keyword intent — all without relying on explicit feedback.

Configurable Reports

Measure What Matters to Your Use Case

Track how well your AI performs across custom metrics like helpfulness, correctness, empathy, and goal completion. Reports are fully configurable to reflect your product's definition of success.

Actionable Insights

Insights You Can Actually Act On — Instantly

Every insight from FI is built for impact. Fine-tune prompts, improve product flows, generate synthetic training data, or trigger business logic — all from real user behavior.

The only explicit feedback we actually trust

“Understanding user preferences and needs not only aids in data curation and optimizing LLM apps but also ensures that the products align with user expectations and deliver meaningful results.”

Sr. PM at a scale-up in CRM

“Continuous improvement of a chatbot is crucial to ensure it’s reliable in production and aligned with business KPIs. Without customizable metrics and actionable insights, the optimization process becomes a long, manual task.”

VP of AI at a Fortune500 Insurance company

“Implicit feedback helps reduce hallucinations and ensures more representative data, leading to more accurate and reliable conversational AI.”

Sr. Director of Data at an enterprise

Works with your LLM stack

Integrate your app with our SDKs in just 5 minutes, or simply upload your interaction data
for instant analysis. Gain actionable insights to power smarter decisions across teams.

See all integrations

See a live example of
Feedback Intelligence in action

See how Feedback Intelligence powers mental health AI agents by analyzing millions of daily chats to surface trends, track sentiment, and improve user support.

Live example

When we developed the LLM-powered AI assistant part of our product offering we implemented a direct feedback mechanism with thumbs up/down and an input field. We thought that channel was enough to know when things go wrong and then improve the assistant using that feedback.But the reality was different — it was 100 times harder to incorporate the collected feedback from the AI assistant into the improvement pipeline.Also, our users do not like to give us feedback — less than 10% of users are giving feedback so it’s biased. We added Heap as well - it only provides the number of clicks inside and outside of the AI assistant.

Director of Product Development at Fortune500

Certification

Scale with security

SOC 2 Type 2

Feedback Intelligence is SOC 2 Type 2 certified.

ISO 27001

Feedback Intelligence is working towards achieving ISO 27001 certification.

GDPR compliant

We safeguard your data through secure processing in compliance with GDPR.

LLM User Analytics

Used by leading AI teams to align
‍AI Conversational Agent
behavior with real-world goals

Qualify and quantify every interaction across your LLM ecosystem -
user ↔️ agent, agent ↔️ user, agent ↔️ agent. Detect behavioral patterns with misalignments, and turn implicit feedback into actionable signals. Keep your AI Conversational Agents aligned and on track - at any scale.

Live example of mental health AI companion

Watch 2-min video

Why Explicit Feedback And
Standard Analytics Can’t Help You

Only 10% of users give
explicit feedback

You don’t learn much from
 “churned users” dashboards

Manually reviewing conversations
in a spreadsheet is dull

Your Users' Implicit Feedback Is Gold.

It’s the most valuable signal you’re not acting on — yet.

Interaction analytics

Understand What Users Really Needed — Not Just What They Typed

Analyze raw conversations to extract hidden signals: user goals, repeated attempts, confusion patterns, and keyword intent — all without relying on explicit feedback.

Configurable Reports

Measure What Matters to Your Use Case

Track how well your AI performs across custom metrics like helpfulness, correctness, empathy, and goal completion. Reports are fully configurable to reflect your product's definition of success.

Actionable Insights

Insights You Can Actually Act On — Instantly

Every insight from FI is built for impact. Fine-tune prompts, improve product flows, generate synthetic training data, or trigger business logic — all from real user behavior.

The only explicit feedback we actually trust

Works with your LLM stack

Integrate your app with our SDKs in just 5 minutes, or simply upload your interaction data
for instant analysis. Gain actionable insights to power smarter decisions across teams.

See a live example of
Feedback Intelligence in action

See how Feedback Intelligence powers mental health AI agents by analyzing millions of daily chats to surface trends, track sentiment, and improve user support.

Scale with security

Get started with Feedback Intelligence

Gain clear insights into user needs through implicit feedback, making it easy to
optimize your LLM applications.

LLM User Analytics

Used by leading AI teams to align ‍AI Conversational Agent behavior with real-world goals

Qualify and quantify every interaction across your LLM ecosystem -user ↔️ agent, agent ↔️ user, agent ↔️ agent. Detect behavioral patterns with misalignments, and turn implicit feedback into actionable signals. Keep your AI Conversational Agents aligned and on track - at any scale.

Live example of mental health AI companion

Watch 2-min video

Why Explicit Feedback And Standard Analytics Can’t Help You

Only 10% of users give explicit feedback

You don’t learn much from “churned users” dashboards

Manually reviewing conversations in a spreadsheet is dull

Your Users' Implicit Feedback Is Gold.

It’s the most valuable signal you’re not acting on — yet.

Interaction analytics

Understand What Users Really Needed — Not Just What They Typed

Analyze raw conversations to extract hidden signals: user goals, repeated attempts, confusion patterns, and keyword intent — all without relying on explicit feedback.

Configurable Reports

Measure What Matters to Your Use Case

Track how well your AI performs across custom metrics like helpfulness, correctness, empathy, and goal completion. Reports are fully configurable to reflect your product's definition of success.

Actionable Insights

Insights You Can Actually Act On — Instantly

Every insight from FI is built for impact. Fine-tune prompts, improve product flows, generate synthetic training data, or trigger business logic — all from real user behavior.

The only explicit feedback we actually trust

Works with your LLM stack

Integrate your app with our SDKs in just 5 minutes, or simply upload your interaction data for instant analysis. Gain actionable insights to power smarter decisions across teams.

See a live example of Feedback Intelligence in action

See how Feedback Intelligence powers mental health AI agents by analyzing millions of daily chats to surface trends, track sentiment, and improve user support.

Loved by people building LLM apps Trusted by enterprises

Scale with security

Get started with Feedback Intelligence

Gain clear insights into user needs through implicit feedback, making it easy to optimize your LLM applications.

Used by leading AI teams to align
‍AI Conversational Agent
behavior with real-world goals

Qualify and quantify every interaction across your LLM ecosystem -
user ↔️ agent, agent ↔️ user, agent ↔️ agent. Detect behavioral patterns with misalignments, and turn implicit feedback into actionable signals. Keep your AI Conversational Agents aligned and on track - at any scale.

Why Explicit Feedback And
Standard Analytics Can’t Help You

Only 10% of users give
explicit feedback

You don’t learn much from
 “churned users” dashboards

Manually reviewing conversations
in a spreadsheet is dull

Integrate your app with our SDKs in just 5 minutes, or simply upload your interaction data
for instant analysis. Gain actionable insights to power smarter decisions across teams.

See a live example of
Feedback Intelligence in action

Loved by people building LLM apps 
Trusted by enterprises

Gain clear insights into user needs through implicit feedback, making it easy to
optimize your LLM applications.