Step-by-step process for analyzing and improving products using cognitive bias principles.
Step 1: Identify Decision Points
Map where users make decisions:
User Journey Decision Points:
Landing Page
├── Stay or bounce? [Availability, Social Proof]
├── Which CTA to click? [Framing, Anchoring]
│
Signup
├── Email or social login? [Convenience, Trust]
├── Share optional data? [Reciprocity]
│
Pricing
├── Which plan? [Anchoring, Decoy]
├── Monthly or annual? [Loss Aversion]
│
Onboarding
├── Complete or skip? [Commitment, Sunk Cost]
├── Invite teammates? [Social Proof]
│
Retention
├── Continue or churn? [Sunk Cost, Loss Aversion]
└── Upgrade or stay? [Anchoring, Social Proof]
Step 2: Map Current Bias Usage
Audit existing design:
| Screen | Decision | Bias Used | Ethical? | Effective? |
|---|---|---|---|---|
| Pricing | Plan selection | Anchoring | ✅ | ✅ |
| Checkout | Add extras | Scarcity | ⚠️ Fake | ❌ |
| Trial end | Convert | Loss aversion | ✅ | ✅ |
Step 3: Design Improvements
For each decision point:
Decision: Plan selection
Current state:
- Plans listed low to high
- No default highlighted
- Equal visual weight
Improved design:
- Anchor with Enterprise first (Anchoring)
- "Most popular" badge on target plan (Social Proof)
- "Recommended for you" personalization (Confirmation)
- Annual savings calculated (Loss Aversion)
Output Template
After completing analysis, document as:
## Cognitive Bias Analysis
**Product/Feature:** [Name]
**Analysis Date:** [Date]
### Decision Point Audit
| Decision Point | Current Biases | Ethical Assessment | Recommendations |
| -------------- | -------------- | ------------------ | --------------- |
| [Point 1] | [Biases used] | [✅/⚠️/❌] | [Changes] |
| [Point 2] | [Biases used] | [✅/⚠️/❌] | [Changes] |
### Recommended Improvements
#### High Priority
- [Improvement 1]: Apply [bias] at [location] to [effect]
- [Improvement 2]: Remove [dark pattern] from [location]
#### Medium Priority
- [Improvement 3]
- [Improvement 4]
### Ethical Checklist
- [ ] All scarcity claims are factual
- [ ] Users can easily reverse decisions
- [ ] No exploitation of vulnerable states
- [ ] Transparent about pricing and terms
- [ ] Personalization is controllable
### Success Metrics
| Metric | Current | Target | Measurement |
| ----------------- | ------- | ------ | ------------- |
| Conversion rate | X% | Y% | Analytics |
| User satisfaction | X | Y | Survey |
| Regret rate | X% | <Y% | Cancellations |
Integration with Other Methods
| Method | Combined Use |
|---|---|
| Five Whys | Why do users behave unexpectedly? |
| Graph Thinking | Map bias influences across user journey |
| Business Canvas | Bias impact on value proposition |
| Jobs-to-be-Done | Align bias use with user goals |
| A/B Testing | Validate bias effectiveness ethically |