Which mobile platforms does this skill support?

This skill is designed for mobile observability across iOS, Android, and React Native development environments.

How does this differ from standard analytics tracking?

Unlike basic event logging, this skill focuses on the user's intent (the 'Job') and the quality of the experience, helping distinguish between a smooth success and a success achieved through struggle.

What are friction signals in user journey tracking?

Friction signals are indicators of user struggle, such as rage taps (3+ taps on an element in 1s), retry exhaustion, or navigation loops that suggest a user is confused or blocked.

When should I use the User Journey Tracking skill?

Use it when instrumenting multi-step processes like checkouts, signups, or onboarding flows where understanding the reason for drop-offs is critical for conversion optimization.

User Journey Tracking

Name: User Journey Tracking
Author: nexus-labs-automation

bynexus-labs-automation

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分析与监控

Instruments mobile user flows with intent context and friction signals to pinpoint exactly where and why users fail in multi-step processes.

关于

This skill empowers developers to implement sophisticated user journey observability in mobile applications by tracking intent alongside interaction data. Instead of simply logging events, it helps identify the 'Why' behind user drop-offs by monitoring friction signals such as rage taps, retry exhaustion, and navigation loops. It is particularly effective for optimizing high-stakes flows like onboarding, checkouts, and registrations across iOS, Android, and React Native, providing a clear distinction between smooth completions and those plagued by friction.

主要功能

Standardized context for mobile funnels (job name, step, and progress)
Cross-platform support for iOS, Android, and React Native
Intent-driven instrumentation using Jobs-to-be-Done patterns
Categorized outcome tracking (success, abandonment, or friction-filled completion)
98 GitHub stars
Automated detection of friction signals like rage taps and retry exhaustion

使用场景

Improving feature adoption by correlating user intent with successful task completion
Analyzing onboarding flows to reduce immediate user abandonment
Optimizing checkout funnels by identifying steps with high user friction

关于

主要功能

Standardized context for mobile funnels (job name, step, and progress)
Cross-platform support for iOS, Android, and React Native
Intent-driven instrumentation using Jobs-to-be-Done patterns
Categorized outcome tracking (success, abandonment, or friction-filled completion)
98 GitHub stars
Automated detection of friction signals like rage taps and retry exhaustion

使用场景

Improving feature adoption by correlating user intent with successful task completion
Analyzing onboarding flows to reduce immediate user abandonment
Optimizing checkout funnels by identifying steps with high user friction