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Unpack [Human-AI] interactions into actionable Insights

AI applications and autonomous agents engage users in dynamic, unstructured ways—making traditional analytics ineffective. Mindlytics.ai is built from the ground up to provide deep, intent-driven insights into [Human-AI] interactions, enabling businesses to optimize engagement, conversion, and satisfaction.

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How it works?

Mindlytics.ai is a comprehensive SaaS platform designed to capture, process, and visualize [Human-AI] interactions.

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Client-Side SDKs, Libraries, and APIs

Easily integrate Mindlytics into your AI applications or agents. Our SDKs and APIs seamlessly capture [Human-AI] conversations, agent behaviors, and LLM interactions—transforming them into actionable telemetry data.

AI-Powered Analytics Backend

Mindlytics ingests raw event data from AI interactions and processes them using our custom AI engine to extract meaningful insights, including:

  • User intent decoding from conversations
  • Friction analysis to identify drop-off points
  • AI agent performance tracking to measure effectiveness

Interactive Data Visualization

Our web-based analytics dashboard provides intuitive tools to explore, segment, and visualize [Human-AI] engagement. Build custom charts, data tables, and KPI dashboards to track performance, optimize AI responses, and drive growth.


Key Features

Intent-Driven Analytics

Uncover the real intent behind user interactions by analyzing [Human-AI] conversations and AI agent behaviors. Identify patterns in user needs, intent fulfillment rates, and engagement trends.

Conversational Effectiveness Metrics

Measure the success of [Human-AI] conversations by tracking:
Friction points – Where users struggle in interactions
Intent fulfillment – How well AI apps understand and act on user needs
Engagement drop-offs – Identify where users lose interest

AI Agent Performance Tracking

Get granular insights into [LLM-LMM] and [Human-AI] interactions, monitor AI agent tasks, task success rates, and autonomous decision-making behaviors.

User Segmentation & Cohorting

Segment users based on intent, engagement level, and behavior patterns. Compare cohorts to identify what drives higher conversions and better customer satisfaction.

Custom KPI Dashboards & Journey Mapping

Track key performance indicators such as:
Engagement KPIs – Understand how users interact with your AI solution
Conversion Metrics – Measure goal completion and user retention
User Journey Analysis – Visualize the path users take to achieve their goals

Scalable AI Analytics at Your Fingertips

Mindlytics allows you to quantitatively analyze unstructured AI interactions, turning them into structured, actionable insights. AI-native insights with Human-like understanding.
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