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Comprehensive user journey analysis with multi-flow comparison
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Based on SOC occupation classification
| name | flow-analysis |
| description | Comprehensive user journey analysis with multi-flow comparison |
Analyze and compare multiple user journeys, identify optimization opportunities, and provide conversion-focused recommendations.
| Flow | Key Metrics | Common Issues |
|---|---|---|
| Signup | Completion rate, time | Too many fields, unclear value |
| Login | Success rate, errors | Password requirements, 2FA friction |
| Checkout | Conversion, abandonment | Guest checkout, payment trust |
| Onboarding | Completion, skip rate | Too long, no progress indicator |
| Search | Results quality, filters | No results, poor relevance |
Document each flow:
For each step, capture:
Evaluate each step:
| Factor | Score 1-5 | Description |
|---|---|---|
| Discoverability | [X] | Can users find next action? |
| Clarity | [X] | Are instructions clear? |
| Efficiency | [X] | Minimum steps possible? |
| Error handling | [X] | Are errors recoverable? |
| Feedback | [X] | Is progress communicated? |
Compare flows side-by-side:
Prioritize by:
# Flow Analysis Report
**Flows Analyzed**: [List]
**Date**: [Date]
**Application Type**: [Type]
## Executive Summary
| Flow | Steps | Time | Friction Score | Completion % |
|------|-------|------|----------------|--------------|
| Signup v1 | 5 | 2m 30s | 2.8 | 65% |
| Signup v2 | 3 | 1m 15s | 1.9 | 82% |
**Recommendation**: [Key finding]
## Flow Comparison
### Signup Flow Analysis
#### Version 1 (Current)
```mermaid
graph TD
A[Start] --> B[Step 1: Email]
B --> C[Step 2: Password]
C --> D[Step 3: Profile]
D --> E[Step 4: Preferences]
E --> F[Complete]
Metrics:
graph TD
A[Start] --> B[Step 1: Email + Password]
B --> C[Step 2: Verify]
C --> D[Complete]
Metrics:
| Step | V1 | V2 | Improvement |
|---|---|---|---|
| Fields to complete | 8 | 4 | -50% |
| Required clicks | 12 | 6 | -50% |
| Error opportunities | 5 | 2 | -60% |
| Validation feedback | Delayed | Real-time | +Quality |
| Step | Friction | Issue | Impact |
|---|---|---|---|
| Step 3 | 4.2 | Profile photo required | 32% drop-off |
| Step 4 | 3.8 | Too many preferences | 18% drop-off |
| Issue | Solution | Expected Impact |
|---|---|---|
| Profile photo | Make optional | +15% completion |
| Preferences | Move to later | +10% completion |
| Practice | V1 | V2 | Best Practice |
|---|---|---|---|
| Social login | No | Yes | Yes |
| Progress indicator | No | Yes | Yes |
| Password visibility | No | Yes | Yes |
| Inline validation | No | Yes | Yes |
| Guest option | N/A | N/A | Depends |
| Point | V1 % | V2 % | Improvement |
|---|---|---|---|
| Start → Step 1 | 15% | 10% | +5% |
| Step 1 → Step 2 | 12% | 8% | +4% |
| Step 2 → Complete | 8% | 5% | +3% |
| Total Drop-off | 35% | 23% | +12% |
Test: Social login prominence
Test: Field count
| Metric | Our Site | Competitor A | Competitor B | Best |
|---|---|---|---|---|
| Signup steps | 5 | 3 | 4 | 3 |
| Time to complete | 2m 30s | 1m 00s | 1m 45s | 1m |
| Social options | 0 | 3 | 2 | 3+ |
| Guest checkout | No | Yes | Yes | Yes |
## Example Usage
Use the flow-analysis skill to:
## Best Practices
1. **Map before optimizing** - Understand current state
2. **Measure everything** - Data over assumptions
3. **Test incrementally** - One change at a time
4. **Consider segments** - Mobile vs desktop, new vs returning
5. **Balance speed and quality** - Don't sacrifice trust for speed
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