The problem
You know exactly what you want to test. You've identified the hypothesis, designed the experiment, and written the brief. But the engineering ticket takes two weeks to get prioritized, another two weeks to build, and by the time it ships, the original hypothesis is stale and the team has moved on to a different initiative. Growth velocity dies in the ticket queue.
What you get
- AI drop-off diagnosis — one click identifies exactly where and why users leave your conversion funnel. No manual funnel definition required — AI detects your funnel automatically. Learn more →
- No-code flow builder — build tooltips, modals, guided tours, and checklists without writing a line of code. Describe what you want in plain English and AI generates it, or use the visual editor. Learn more →
- A/B testing built in — split traffic between flow variants, track conversion per variant, and get statistical significance indicators. No separate testing tool required. Learn more →
- Activation metrics — track activation rate, time to value, and milestone completion. Define what "activated" means in plain English. Learn more →
- AI Insights command center — 10 AI analyses in one tab. Funnel, activation, adoption, paths, retention, anomaly detection, and more. Learn more →
Ship 10 experiments in the time it took to ship 1
The no-code flow builder removes engineering from the experiment loop entirely. Diagnose a drop-off, create a flow to fix it, A/B test two variants, measure conversion — all in the same afternoon. No tickets, no sprint planning, no code review, no deploy pipeline. When you're ready to try a new hypothesis, archive the old flow and create a new one. Growth velocity is limited only by how fast you can form hypotheses, not how fast engineering can build them.
The growth stack you actually need
- AI-powered funnel analysis with automatic funnel detection
- No-code in-app flows (5 types: tooltip, modal, banner, tour, checklist)
- A/B testing with deterministic assignment and statistical significance
- Activation tracking with AI-defined custom metrics
- Real-time event streaming for live experiment monitoring
- CSV export on every view for stakeholder reporting