Getting Started with Experience Analytics
A practical implementation guide. From first integration to actionable insights in weeks, not months.
Why Brixo
Brixo was built for Experience Analytics from day one. It is not an event analytics tool repurposed for conversations. It is not an observability platform with a dashboard added on top. It is a purpose-built platform designed to measure intent, journey quality, and outcomes for AI products.
The platform provides three core capabilities: Understand what customers experience when interacting with your AI product. Measure whether they succeed — with metrics designed for conversations, not clicks. Automate actions based on experience signals, routing insights to the teams and tools where they drive decisions.
Brixo is designed for product teams, not just engineers. No SQL required. No log parsing. No tickets to engineering. Self-service analytics for conversational AI products.
How It Works
Setup takes 15-20 minutes. Send conversation traces via a lightweight SDK integration. Brixo works with any agent framework — LangChain, CrewAI, custom implementations, or any system that produces conversation data.
Once connected, Brixo automatically classifies intent, tracks journey signals, and measures outcomes. You define what success means for your product. Brixo measures whether customers reach it.
The platform provides intent distribution and patterns across all conversations. Journey analysis with friction identification and sentiment tracking. Outcome tracking with success rates by intent type, customer segment, and journey characteristics. Signal routing to Slack, CRM, ticketing systems, and other tools your team uses.
Implementation Path
Day 1: Instrument your AI product. Connect conversation data via SDK. This is the only engineering step — 15 to 20 minutes of integration work.
Week 1: Define your first outcomes. What does success look like for your product? A task completed? A question answered? An issue resolved? Set these definitions in Brixo.
Week 2: Explore your experience data. See intent distribution. Identify your most common customer goals. Find friction patterns you did not know existed. Discover intents you did not design for.
Week 3: Set up signal routing. Configure alerts for churn risk, buying intent, and product feedback. Route signals to Slack, CRM, and ticketing systems.
Ongoing: Iterate and optimize. Use the data to prioritize improvements. Measure the impact of changes. Build the feedback loop from measurement to action to improved outcomes.
The path from zero visibility to actionable experience data is weeks, not months. No data warehouse required. No custom classification layer. No BI tool configuration.
Get Started
The data is already there. Every conversation your AI product has with customers contains intent signals, journey quality indicators, and outcome evidence. It is sitting in logs and traces, unread and unanalyzed.
Brixo makes it readable, measurable, and actionable.
Create your free account at app.brixo.com to start seeing your experience data. Book an implementation session if you want hands-on help connecting your first data source. Or reach out to the team to discuss how Experience Analytics applies to your specific product.
The analytics approach shifted before. Companies that recognized the shift early gained advantage. The same opportunity exists now.