Onboarding Path Analysis with Markov Chains

Goal: analyze onboarding paths with Markov Chains. Data: event sequences for new users first 7 days. Steps: 1) Build state graph of key events; 2) Compute transition probabilities; 3) Identify states increasing probability of {GOAL_EVENT}; 4) Propose nudges. Output: path diagram and recommended guided walkthrough.

Author: Tsubasa Kato

Model: GPT-5 Thinking

Category: Web Analytics

Tags: onboarding;markov;paths

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