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user-journey-tracking

Track user journeys with intent context and friction signals. Use when instrumenting onboarding, checkout, or any multi-step flow where you need to understand WHY users fail.

$ Instalar

git clone https://github.com/nexus-labs-automation/mobile-observability /tmp/mobile-observability && cp -r /tmp/mobile-observability/skills/user-journey-tracking ~/.claude/skills/mobile-observability

// tip: Run this command in your terminal to install the skill


name: user-journey-tracking description: Track user journeys with intent context and friction signals. Use when instrumenting onboarding, checkout, or any multi-step flow where you need to understand WHY users fail. triggers:

  • "checkout funnel"
  • "conversion tracking"
  • "drop-off tracking"
  • "onboarding flow"
  • "track user funnels"
  • "user journey" priority: 2

User Journey Tracking

Track not just WHAT users do, but WHETHER they accomplished their goal.

Core Principle

Every journey event should help answer: "Why did users fail to complete their intended task?"

Key Context to Attach

FieldExamplePurpose
job_name"checkout"User's intended task
job_step"payment"Current step in journey
job_progress"3/4"How far they got
outcome"success" / "friction" / "abandon"Did they succeed?

Friction Signals to Track

Detect user struggle before they contact support:

SignalDetection
Rage taps3+ taps same element in 1s
Retry exhaustion3+ retries of same action
Quick abandonmentExit within 5s of error
Navigation loops3+ back navigations without progress

Outcome Quality

Not just success/failure:

  • Completed smoothly — no friction
  • Completed with friction — retries, errors, slow
  • Abandoned after friction — struggled, then quit
  • Abandoned immediately — no engagement

"Completed with friction" is often the most actionable signal.

When to Use This Skill

  • Onboarding flows
  • Checkout/payment funnels
  • Signup/registration
  • Any multi-step process
  • Feature adoption tracking

Implementation References

TopicReference
Full methodologyreferences/user-focused-observability.md
Job-based patternsreferences/jtbd.md
Friction detection codereferences/user-journeys.md
Journey correlationreferences/user-journeys.md

Decision Tree

Before adding journey instrumentation:

  1. Does this help identify what the user was trying to do? → Add intent context
  2. Does this help determine if they succeeded? → Track outcomes
  3. Does this help explain why they failed? → Add friction signals

If no to all three → probably don't need it.

Related Skills

  • See skills/instrumentation-planning for prioritization framework
  • Combine with skills/interaction-latency for friction detection on key actions
  • Combine with skills/navigation-latency for screen transition context