smithery/nexus-labs-automation

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.

Installation

$ npx skills add smithery/nexus-labs-automation --skill user-journey-tracking

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from smithery/nexus-labs-automation · top by installs.

npx skills add smithery/nexus-labs-automation

Browse all from smithery/nexus-labs-automation

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,566 B
  • docs SUMMARY.md 203 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

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

Field Example Purpose
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:

Signal Detection
Rage taps 3+ taps same element in 1s
Retry exhaustion 3+ retries of same action
Quick abandonment Exit within 5s of error
Navigation loops 3+ 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

Topic Reference
Full methodology references/user-focused-observability.md
Job-based patterns references/jtbd.md
Friction detection code references/user-journeys.md
Journey correlation references/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