The AI kit for Product Analysts

Builds retention curves and feature adoption trends by cohort, like showing why March signups churn faster than February.

Runs hypothesis tests and reads A/B results with effect sizes, like checking if a 2% lift is real.

Plans tests with testable hypotheses, sample sizes, and priorities, like ranking three onboarding ideas before you build any.

Sets up an A/B or multivariate test end to end, from variant copy to significance rules and launch checks.

Like "Draft Feature Success Metrics"

Like "Draft SQL for User Behavior Analysis"

Like "Define Cohorts For Analysis"

Like "Draft A/B Test Hypothesis"

Every strategic experiment reaches a decision at its checkpoint, based on its original rules.

Experiments that are valid, monitored and judged by their own rules.

Events that match the metric definitions exactly.

Experiment samples that are valid before anyone draws conclusions.

Ask your AI about your PostHog data and let it manage flags, experiments and errors for you.

Ask your AI questions in plain English and it reads your BigQuery data to answer them.

Ask your AI questions in plain English and it runs the SQL in Redash, then shows you the answer.

Lets your AI look up and query your Snowflake data, with read-only protection on by default.

GrowthBook 5.0 is a warehouse-native platform for product and engineering teams. It combines feature flags, experimentation, and product analytics, with an AI V

Julius Slack Agent puts an AI data scientist in Slack, querying Postgres, BigQuery, Snowflake and other warehouses to answer product and marketing questions in

Findly is an AI data assistant for Google Analytics that uses natural language to deliver instant insights, tables, and visualizations. It streamlines team coll

Usermaven 2.0 offers privacy-friendly website and product analytics with easy setup, event autocapture, and pre-built SaaS reports. Track multi-touch attributio

Build this to keep web and product behavior data in one owned workspace instead of scattered tools.

Build this when you need pre-registered decision logic and clear assumptions before each test starts.

Build this to cut the time from question to reviewed finance report with every figure traceable.

Build this to turn scattered behavior data into a reviewed, decision-ready report your team can share.

Define product events, analyze funnels, cohorts, retention, and North Star metrics.

Analyzes numerical data to find trends, compare metrics, and produce statistical insights.

Automate Mixpanel analytics: events, funnels, cohorts, profiles, and JQL queries via Rube MCP.

Automate Amplitude analytics: events, users, cohorts via Rube MCP.