Know It All — Reimagining How We Disagree Online
A conceptual debate game that transforms fact-checking into play and makes changing your mind feel like progress.
TL; DR
The Challenge:
Online discussions favor speed and confidence over accuracy, leaving many people hesitant to speak, unprepared to research, or punished for being wrong—especially around complex or polarizing topics.
The Solution:
Know It All is a conceptual multiplayer debate game where anonymous users are randomly grouped to challenge or validate claims using reputable sources. Structured rounds, private badges, reflective voting, and difficulty settings shift debate from performance to practice.
Impact at a Glance:
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Promotes research-first thinking through play
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Makes changing your mind feel like progress
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Lowers intimidation through anonymity and private growth
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Encourages thoughtful participation over hot takes
What I Learned:
Well-designed systems can make intellectual humility feel safe. Thoughtful structure—timing, anonymity, and feedback—can transform disagreement into learning.
Summary
Designed For
Conceptual / Portfolio Project exploring research-driven discourse and game mechanics
Make of the Team
1 Designer (solo project)
My Role
Product Designer, UX Designer, Systems Thinker
Concept creator, rule designer, interaction designer, and narrative writer.
AI Collaboration
ChatGPT (ideation, system design, rules, stress-testing, copy)
Figma Make (interactive prototyping, demo walkthroughs, flow visualization)
High level Timeline
~5 hours total
From initial concept → fully structured ruleset → interactive prototype → demo walkthrough
Methods Used
Design thinking & systems design, Rapid ideation and concept validation, Game mechanics design, Rule definition and stress-testing, User flow mapping, Interaction design, Conceptual walkthroughs, Iterative refinement through AI collaboration
Prototyping and Research Tools
ChatGPT, Figma Make, Manual UI refinements and layout adjustments in Figma
Project Details
Know It All is a conceptual multiplayer debate game designed to help people practice research-first thinking in a low-pressure, anonymous environment. Players are randomly grouped into small rooms to challenge or validate claims using reputable sources, earning private feedback and progress markers that reward curiosity, reflection, and growth rather than “winning” arguments.
By collaborating with AI tools, I rapidly translated a complex idea into a structured ruleset and interactive prototype—demonstrating how thoughtful system design and AI-accelerated workflows can bring ambitious concepts to life in hours instead of weeks.
BREAKING DOWN THE PROCESS
Introduction
Public discourse increasingly rewards being loud over being right. As misinformation and opinions presented as facts spread across social platforms, nuance disappears, cultural divides widen, and many people either disengage or argue without understanding.
Fact-checking these conversations revealed a deeper issue: people lack accessible spaces to practice critical thinking, research, and thoughtful communication without social penalty.
Problem Statement
Most online platforms incentivize speed, certainty, and performative debate rather than evidence and reflection. This leads to misinformation, fear of being wrong, and repeated arguments without understanding—leaving no low-stakes environment to practice meaningful discourse.
Goals
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Encourage research-first thinking before public discussion
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Make nuance and reflection feel safe and rewarding
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Reduce intimidation through anonymity and structure
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Help users build confidence in thoughtful communication
RESEARCH & DISCOVERY
Exploratory Research
Through observation and synthesis of online debates, fact-checking viral claims,
and analyzing participation patterns, clear behavioral gaps emerged between
confidence and understanding in public discourse.
Proto-personas
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The Silent Observer: Curious but hesitant to speak due to fear of being wrong
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The Confident Repeater: Actively debates but often relies on secondhand arguments
Both lack systems that support learning, reflection, and nuance.
PROBLEM DEFINITION
Findings
From observational research and synthesis, the challenges were clear:
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Public platforms reward speed and certainty over accuracy and reflection
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Misinformation spreads easily when opinions are presented as facts
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Fear of being wrong discourages participation and learning
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Nuance is penalized, while confidence—regardless of understanding—is amplified
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There is no low-stakes environment to practice research-based discourse
These conditions reinforce cultural division and discourage thoughtful engagement.
IDEATION & STRATEGY
Proposed Solutions
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Introduce a structured, game-based environment that prioritizes research over reaction
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Use anonymity to reduce intimidation and encourage intellectual risk-taking
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Require reputable, non-social sources to support claims
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Replace “winning” debates with reflective voting and contextual recognition
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Track growth privately through badges rather than public rankings
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Together, these mechanics reframe disagreement as learning rather than conflict.
DESIGN PROCESS
Design Principles
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Guiding principles ensured the experience encouraged learning over winning:
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Research Before Reaction
Claims must be supported by reputable, non-social sources. -
Psychological Safety Enables Bravery
Anonymity reduces fear of being wrong and encourages participation. -
Reflection Over Dominance
Recognition focuses on insight, clarity, and growth—not debate “wins.”
Core Gameplay Loop
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A repeatable, low-friction loop that reinforces critical thinking:
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Enter a Room.
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Users are randomly placed into a small, anonymous group around a submitted claim.
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Research & Respond.
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Players investigate the topic and submit evidence-backed arguments.
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Reflect & Vote.
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Participants vote using contextual prompts (e.g., “Most Convincing,” “Challenged My View”).
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Private Progress.
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Users earn personal badges that track growth over time—without public ranking.
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Defining the Game Loop
Gameplay Screens in Context
AI-Accelerated Design & Prototyping
AI tools enabled rapid iteration and validation of a complex system:
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Used ChatGPT to pressure-test rules, edge cases, and gameplay mechanics
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Used Figma Make to translate logic into a functioning interactive prototype
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Enabled end-to-end concept development in ~5 hours, allowing more time for refinement and critique
AI acted as a design collaborator—accelerating ideation, not replacing decision-making.
Prompting as System Design
Why This Matters
This process demonstrates how thoughtful systems—not louder platforms—can change how people engage with ideas.
From Logic to Interactive Prototype
Once the rules and flows were defined, I used Figma Make to translate the system into a functioning interactive prototype using simulated states—without CMS or backend data. Keep in mind this is the first iteration.
BEHIND THE SCREENS
Designing the Rules Before the UI
Early exploration used to clarify mechanics, edge cases, and values.
Curious to know what Sparked My Idea?
Here's how I worked through my idea at conception


“We're so quick to shut each other down when hiding behind keyboards but we could leverage anonymity as a way to learn and be heard without pressure”
- Me (Designer)


















