Research Highlight

We surveyed 10,000+ Gen Z users to understand their relationship with budgeting. The results? Pure chaos that became our design blueprint.

​
🎯 The Poll: Chaos, but Make It Scientific

We asked our community a simple question: “What would you rather do than sit down and budget your money for 20 minutes?” The responses broke the internet (and our expectations).
Methodology: 10,247 responses collected via TikTok, Discord, and in-app surveys over 2 weeks in Q3 2024.

​
Top 10 Responses (Ranked by Votes + Meme Engagement)

🥇 Fight a Goose

Barehanded. 23% of responses. “At least the goose fight has a clear winner”

🥈 Rewatch GoT

All 8 seasons. Including Season 8. “More realistic than my budget goals”

🥉 Text My Ex

“I miss us 😔” then throw phone in lake. “Both are financial disasters”

4️⃣ Read T&Cs

Every app on phone. Full terms. “Equally incomprehensible”

​
🧠 The Psychology Behind the Chaos

​
What Gen Z Really Told Us

The Real Issues:
  • 67% associate budgeting with shame
  • 54% feel overwhelmed by financial terminology
  • 43% have analysis paralysis from too many options
  • 38% avoid it due to “adulting” pressure
Traditional budgeting apps ignore the emotional tax of being broke.

​
🛠️ How We Turned Chaos Into Features

Each ridiculous answer became a legitimate product feature:

​
Feature Development Map

1

Chaos Analysis

We categorized responses by emotional triggers:
  • Avoidance behaviors → Gamification opportunities
  • Humor preferences → Tone and messaging
  • Extreme scenarios → Feature inspiration
2

Design Translation

Every answer got a corresponding feature:

🪿 'Fight a Goose' → Trap Cards

Budget Challenge System
  • Random financial obstacles appear
  • “Angry Landlord: Rent Hike +$400”
  • “Crypto Bro Pitch: Invest or Escape?”
  • Users swipe to accept or dodge

💬 'Text My Ex' → Financial Personas

Emotional Money Archetypes
  • Broke Bestie: “We’re in this together”
  • Chaos Goblin: “YOLO but make it budget”
  • Anxiety Owl: “Have you considered this worst-case scenario?”
  • Each persona has unique dialogue and advice

🔥 'Get Roasted' → AI Coach

Roast-to-Redemption Flow
  • AI analyzes spending patterns
  • Delivers personalized (gentle) roasts
  • Offers specific, actionable advice
  • Celebrates improvements with memes
3

Testing & Iteration

  • A/B tested humor levels (75% preferred “medium roast”)
  • Optimized for 30-second interaction sessions
  • Added social features based on competitive responses

​
Technical Implementation

// Trap Card System
const trapCards = [
  {
    title: "Angry Landlord",
    description: "Rent hike incoming! +$400",
    choices: [
      { text: "Fight it", impact: "stress +20, savings -200" },
      { text: "Pay up", impact: "stress +5, savings -400" },
      { text: "Move out", impact: "stress +50, savings -2000" }
    ]
  }
];

​
📊 Results & Impact

​
User Engagement Metrics

Daily Active Users

340% increase after chaos-driven redesign

Session Duration

2.3x longer average sessions

Feature Adoption

89% of users engage with gamified elements

​
User Testimonials

​
🎯 Follow-Up Research: The Fun Factor

​
Second Poll Results

We asked: “What would ACTUALLY make you open a finance app every day?”
  1. “Roast me, coach me, reward me” (31%)
  2. “Make it feel like Duolingo but for broke people” (28%)
  3. “Let me beat my friends at budgeting” (24%)
  4. “Give me Sauce. I don’t know what it is, but I want it” (21%)
  5. “Can I unlock outfits for my money persona???” (18%)

​
🔬 Research Methodology & Learnings

​
Our Approach

Mixed Methods Research

Quantitative Data:
  • 10,247 survey responses
  • 15,000+ in-app behavioral data points
  • A/B tests across 47 feature variations
Qualitative Insights:
  • 50+ user interviews
  • Discord community feedback
  • Social media sentiment analysis
  • Focus groups with 18-26 year-olds

​
Key Learnings for Product Teams

Design Principle #1: Meet users in their emotional state, not where you think they should be.
Design Principle #2: Humor disarms financial anxiety—but it must be authentic, not patronizing.
Design Principle #3: Gamification works when it mirrors real emotional stakes, not just points.
Common Mistakes to Avoid:
  • Don’t infantilize users with “cute” financial advice
  • Avoid shame-based motivation (even subtle guilt)
  • Don’t over-gamify to the point of losing utility
  • Never ignore the genuine stress of financial insecurity

​
🚀 Implementation Guide

​
For Product Teams

1

Research Your Users' Avoidance Behaviors

  • What do they do instead of your desired action?
  • What emotions drive that avoidance?
  • How can you transform resistance into engagement?
2

Map Emotions to Features

  • Identify core emotional barriers
  • Design features that address feelings, not just functions
  • Test humor and tone extensively
3

Build Micro-Interactions

  • Gen Z prefers many small interactions over few large ones
  • Optimize for 30-second sessions
  • Make every interaction feel rewarding
4

Create Social Elements

  • Enable sharing wins (anonymously)
  • Add competitive elements
  • Build community around shared struggles

​
Technical Considerations

{
  "userId": "chaos_goblin_47",
  "persona": {
    "type": "Chaos Goblin",
    "level": 12,
    "traits": ["impulsive", "optimistic", "social"],
    "currentMood": "determined",
    "preferredHumor": "self-deprecating"
  },
  "engagement": {
    "streakDays": 23,
    "xpTotal": 1847,
    "lastRoast": "2024-10-15T14:30:00Z",
    "favoriteFeature": "trap_cards"
  }
}

​
🎁 Resources & Next Steps

​
Try Our Features

Get Roasted

Let our AI analyze your spending and serve you the reality check you need (with love)

Swipe to Save

Make split-second financial decisions in our chaos-budget simulator

Join Mayhem League

Compete with friends in our monthly budgeting challenges

Chaos Academy

Financial literacy content that doesn’t put you to sleep

​
Research Downloads

​
💬 Join the Conversation

Community & Feedback

Want to be in our next poll?Follow us for more chaotic financial research:We’re building the chaotic financial universe you actually want to live in. 🪿💥💸
Research Ethics Note: All user data was collected with explicit consent and has been anonymized. No personally identifiable information was used in this study.