Compare drop-off before and after releases
Track friction across onboarding and checkout
Detect behavior changes before conversion drops
Neutral
89
Struggling
95
High Velocity
96
Tracks page views, route changes, modal opens, and journey movement. Understand where users go, where they pause, and where they drop off.
Tracks clicks, taps, CTA presses, and feature usage. Identify intent, engagement, and the actions that move users forward.
Tracks form edits, search inputs, filter changes, and dropdown selections. Detect hesitation, correction loops, and friction during input-heavy flows.
Tracks validation failures, API timeouts, payment failures, and crashes. These events raise friction risk and help explain why users abandon a flow.
Tracks successful signups, completed checkouts, finished onboarding, and other conversion events. These confirm progress and close the journey loop.
Track progression, consistency, drop-off risk, recovery behavior, loyalty signals, and engagement quality from every user interaction.
Identify where users slow down, repeat actions, abandon flows, or experience failed attempts before those patterns become lost conversions.
Convert raw event activity into risk scores that show which users, accounts, or journeys are likely to disengage.
Follow how users move through onboarding, checkout, feature adoption, and other key flows without relying only on static funnels.
Turn behavior patterns into clear explanations your team can understand, review, and act on.
Powered by Elixir, Kafka, Broadway/GenStage, PostgreSQL, and real-time channels to support high-throughput event processing with live responsiveness.
From early-stage products to large-scale platforms, Trichspace grows with your event volume, behavioral complexity, and real-time engagement needs.
