Analytics for AI Agents and LLM applications.
Why Mindlytics?
AI-native products need metrics that make sense.
Traditional analytics track clicks and pageviews — but modern AI agents engage in non-linear, conversational experiences. Mindlytics is built from the ground up to quantify those interactions and deliver actionable performance metrics that product teams care about.
What You Can Measure
Intent Insights
Reveal what users actually want — track intent volume, top intent categories, and fulfillment rates to prioritize product roadmaps.
Engagement KPIs
Measure user droughts and bursts: session length, conversational depth, repeat interactions, and engagement curves.
AI Effectiveness Metrics
Track agent accuracy, resolution rates, task success, and friction hotspots to fine-tune AI responses.
Conversion & Funnel Metrics
Connect conversations to outcomes: goal completion rate, intent-to-action conversion, user retention, and drop-off segmentation.
Enterprise-Grade Analytics
Role-based dashboards, cohort segmentation, and customizable KPIs for product managers, data analysts, and executive leadership.
HOW IT HELPS PRODUCT TEAMS?
Product Adoption
Understand where users drop off, which intents convert, and what features matter most.
Driven Experiences
Benchmark agent performance — identify friction, optimize responses, and accelerate onboarding.
Development Backlog
Use real usage data — not guesswork — to justify feature investments.
Time to Insight
Get meaningful analytics in minutes, not weeks of tagging and instrumentation.
Decode user Intent. Measure [Human-AI] Engagement. Optimize Conversion.
START IN MINUTES
EASY INTEGRATION