Guides
In-depth resources on conversation analytics, AI product management, and building products your customers love.
What is Conversational Analytics? The Complete Guide for AI Products
Conversational analytics measures multi-turn AI interactions to understand customer intent, identify friction points, and track goal completion. Learn how to implement it for your AI product.
What is Experience Analytics? | Definition & Complete Guide
Experience Analytics tracks the quality of AI agent interactions, not just events. Learn why product teams need new metrics for AI experiences.
Why Do I Need Analytics for My AI Agent?
Without analytics, you can't debug AI failures, measure ROI, or optimize performance. Learn why AI agents need different analytics than traditional software.
What Metrics Should I Track for My AI Product?
AI products need different metrics than traditional software. Learn which KPIs actually predict success: task completion, quality scores, and user outcomes.
How Do I Measure Chatbot Success?
Measure chatbot ROI with task completion rate, deflection rate, user satisfaction, and cost savings. Learn which metrics actually predict chatbot success.
How Do I Track AI Agent Performance?
Learn how to measure AI agent effectiveness beyond token costs and latency. Track conversation quality, task completion, and user satisfaction.
How Do I Improve My AI Chatbot Performance?
Improve chatbot task completion by 30%+ with better prompts, knowledge base optimization, intent recognition, and conversation flow design. Proven techniques from real deployments.
AI Product Metrics: What to Track and Why
Traditional product metrics don't work for AI features. Learn the 4-category framework for measuring AI products: Intent, Experience, Outcome, and Business Impact metrics.
Experience Analytics: The Analytics Layer for AI Products
Experience analytics is how teams understand whether their AI products actually work for customers. Learn how to measure outcomes, not just engagement.
OpenClaw Analytics: The Complete Guide to Measuring AI Agent Success
OpenClaw went from zero to 100K+ deployments in 3 days. Most have zero visibility. Learn the 4 metrics that matter for measuring AI agent success.
Better AI experiences
start here.
Connect your data and see what your customers are actually experiencing in your AI product. Then do something about it.