📊 New Success Metrics for Relationship Design

Beyond Conversion Rates

Traditional UX metrics miss the point entirely when evaluating agentic experiences. Conversion rates and session duration tell you nothing about relationship quality or long-term value creation. Here are the metrics that matter for relationship-centric design.

Traditional UX Metrics Dashboard

Standard analytics focused on individual sessions and immediate conversions

3.2%
Conversion Rate

Users who completed target action

4:32
Avg Session Duration

Time spent per visit

68%
Bounce Rate

Single-page sessions

2.8
Pages/Session

Page views per session

User Journey Funnel

Landing Page
10,000
Product Page
4,500
Add to Cart
2,200
Checkout
800
Purchase
320

Traffic Sources

Organic Search 45%
Direct Traffic 28%
Social Media 18%
Paid Advertising 9%

What These Metrics Miss

  • No understanding of user satisfaction or trust development
  • Can't measure relationship quality or emotional connection
  • Ignores long-term value and compounding benefits
  • Doesn't track context accuracy or personal alignment
  • Focus on individual sessions, not ongoing relationships
  • No measurement of AI system learning or adaptation
  • Can't identify whether users are getting better outcomes over time
  • Misses entirely the value of trust and delegation comfort

Why These Metrics Matter More

Direct comparison of insights from traditional vs relationship metrics

Traditional Metrics Tell You

📊 3.2% of visitors made a purchase this session
⏱️ Average user spent 4:32 minutes on the site
📈 Most users came from organic search
🚪 68% of users left after viewing one page

Optimization Focus

Increase conversion rate, reduce bounce rate, optimize for immediate transactions

Relationship Metrics Tell You

🤝 94% trust level indicates deep partnership potential
📈 Users get 3.8x more value from system over time
🧠 89% context accuracy enables autonomous assistance
73% proactive success rate shows predictive understanding

Optimization Focus

Deepen relationships, improve context understanding, increase long-term value creation

Implementing Relationship Metrics

🎯

Start with Trust Indicators

Track delegation comfort, correction frequency, and user confidence in system decisions. These provide early signals of relationship development.

📈

Measure Value Compounding

Look at problem complexity growth, time-to-resolution improvement, and outcome quality enhancement over extended periods rather than individual sessions.

🧠

Assess Context Understanding

Evaluate how well the system understands user intent, preferences, and situational needs. This drives both trust and autonomous action effectiveness.

⚖️

Monitor Democratic Alignment

Ensure system behaviors align with broader human values and social expectations, not just individual user preferences. This builds sustainable relationships.