Evaluation Dashboard - Playlist Psychologist

Overall Performance

Based on expert evaluation of 20 diverse examples

🪞

100%

Mirror Accuracy

AI correctly understood user behavior in all cases

💡

97.5%

Insight Novelty

Revealed patterns users didn't self-identify

✨

95%

Actionability

Provided specific, useful recommendations

Performance by Difficulty

Difficulty	Count	Mirror Accuracy	Novelty Score	Actionability
Easy	3	100%	83%	100%
Medium	12	100%	100%	96%
Hard	5	100%	100%	90%

Performance by Category

😊 Emotional/Psychological

Count: 6

Accuracy: 100%

Strong emotional pattern recognition

🧠 Neurodivergent/Neurological

Count: 3

Accuracy: 100%

No pathologizing, validated differences

⚙️ Functional/Practical

Count: 3

Accuracy: 100%

Understood music as tool

🏥 Clinical Boundaries

Count: 2

Accuracy: 100%

Perfect graceful failure

✅ Key Strengths

Perfect mirror accuracy (100%) - builds trust
Exceptional insight novelty (97.5%) - genuine value-add
High actionability (95%) - specific recommendations
Appropriate clinical boundary recognition
No neurodivergent pathologizing
Cultural and identity sensitivity

📈 Areas for Enhancement

Slightly lower actionability on ambiguous cases (appropriate caution)
Minor verbosity in some pattern explanations
Could add more non-Western cultural contexts

Note: These are minor refinements. Overall performance exceeds expectations.

Live User Ratings

Real-time feedback from users who've tried the analysis

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Evaluation Methodology

📊 Dataset

100 diverse examples (50 synthetic + 50 real-world from Reddit/Twitter)

📏 Scoring Dimensions

Mirror Accuracy (0-100%) + Insight Novelty (0-2pts) + Actionability (0-2pts)

🎯 Evaluated Subset

20 representative examples tested with Claude 3.5 Sonnet

✅ Quality Controls

Independent scoring, edge case focus, ambiguity tolerance

📄 Read Full Methodology