cognitive-biases

Installation
SKILL.md

Cognitive Biases - Psychology for Product Design

Understanding psychological patterns that influence human decision-making, first systematically studied by Kahneman and Tversky. Essential for creating user experiences that work with human psychology.

When to Use This Skill

  • Designing user onboarding flows
  • Improving conversion rates ethically
  • Analyzing why users behave unexpectedly
  • Reviewing designs for dark patterns
  • Planning pricing and positioning strategies
  • Understanding decision-making in user research

Core Biases at a Glance

Bias What It Is Application
Anchoring First info becomes reference point Show premium prices first
Loss Aversion Losses feel 2x stronger than gains Frame as "losing" vs "missing"
Availability Overestimate what's easy to recall Show success stories, social proof
Confirmation Seek info confirming beliefs Personalize onboarding
Planning Fallacy Underestimate task duration Give realistic time estimates
Framing Effect Presentation changes perception Use positive framing
Sunk Cost Invest based on past costs Highlight accumulated value
Social Proof Look to others for guidance Show testimonials, usage stats
Scarcity Value rare things more Use genuine limited offers

Progressive Disclosure

Topic File When to Use
All 9 core biases context/core-biases.md Deep dive into each bias with examples
Analysis framework context/analysis-framework.md Systematic analysis of user decisions
Ethics & examples context/examples-ethics.md Real-world examples and dark patterns

Ethical Framework

Before applying a bias, ask:

1. Is this helping the user? → STOP if NO
2. Would I be comfortable if exposed? → STOP if NO
3. Does this create long-term value? → STOP if NO
4. Would this work on an informed user?
   → YES (persuasion) / NO (manipulation)

Quick Reference

Acquisition:
├── Social Proof → "Join 50,000+ users"
├── Anchoring → Show premium first
└── Scarcity → "Limited beta access"

Activation:
├── Commitment → Small first steps
├── Planning Fallacy → Realistic estimates
└── Loss Aversion → Show progress at risk

Retention:
├── Sunk Cost → "Your history, connections"
├── Confirmation → Personalized experience
└── Social Proof → "Your team uses this"

References

Related skills
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GitHub Stars
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First Seen
Jan 30, 2026