🧐 What makes Autoplay session analysis different?
Built for what agents & copilots need to personalise per user.
🧱 Designed around 3 core user behaviours:
- Every user is their own edge case — most tools assume one-size-fits-all; Autoplay doesn’t
- Users don’t know what they don’t know
- Users don’t want to be told what they already know
🔬 Our research → one signal mattered most:
- Which workflows users completed — and at what completion rate
That’s the foundation: every session is labelled by workflow.
🗂️ How the labelling works
- Define all tasks & workflows in your product
- Autoplay runs your sessions through TERRA
- Each session is tagged with a workflow label + completion rate — full schema at developers.autoplay.ai/sdk/user-memory
🧠 How TERRA works:
- Computer vision + raw rrweb JSON → normalised user actions
- Compared against the tasks & workflows you defined