Bartle Player Types

Understanding Player Motivations

Mr. John Jennings

Who Was Richard Bartle?

MUD Pioneer

Richard Bartle co-created the first MUD (Multi-User Dungeon) in 1978 and studied player behavior in virtual worlds for decades.

Game designer and researcher
Observed patterns in how players engage with games
Created taxonomy still used today

The Four Player Types

Acting

Killers: Acting on Players
Achievers: Acting on World

Interacting

Socializers: Interacting with Players
Explorers: Interacting with World

The Bartle Quadrant

        Players
           |
Killers  │  Socializers
    ─────┼─────
         │
Achievers│  Explorers
         │
       World

Achievers: “Diamonds”

Goal: Accumulate points, levels, achievements
Motivation: Mastery and progression
Behavior: Optimize strategies, min/max builds
Enjoy: Clear objectives, measurable progress
Frustrated by: Unclear goals, lack of advancement

Game Elements They Love

Leaderboards, experience points, unlockables, completion percentages

Achiever Examples

In Games:

Completing every quest in an RPG
Getting 100% completion in platformers
Reaching the highest rank in competitive games
Collecting all achievements/trophies

Real World Parallel:

Students who focus on grades and GPA
Employees driven by promotions and metrics

Explorers: “Spades”

Goal: Discover new content, understand systems
Motivation: Knowledge and understanding
Behavior: Test boundaries, experiment, investigate
Enjoy: Hidden secrets, emergent gameplay
Frustrated by: Linear experiences, limited options

Game Elements They Love

Hidden areas, easter eggs, complex systems, modding tools

Explorer Examples

In Games:

Finding secret areas in adventure games
Testing game physics and boundaries
Understanding complex crafting systems
Discovering unintended game behaviors

Real World Parallel:

Scientists and researchers
People who take apart devices to see how they work

Socializers: “Hearts”

Goal: Connect and communicate with others
Motivation: Relationships and community
Behavior: Chat, collaborate, help others
Enjoy: Guilds, teams, shared experiences
Frustrated by: Solo-only content, toxic communities

Game Elements They Love

Chat systems, guilds, cooperative gameplay, mentoring tools

Socializer Examples

In Games:

Leading guilds in MMORPGs
Helping new players learn
Organizing community events
Creating fan communities outside the game

Real World Parallel:

Community organizers
People who prioritize relationships over achievements

Killers: “Clubs”

Goal: Dominate and compete against others
Motivation: Power and superiority
Behavior: PvP combat, competitive play
Enjoy: Ranking systems, tournaments
Frustrated by: Pay-to-win, unbalanced gameplay

Game Elements They Love

PvP modes, competitive rankings, skill-based matchmaking

Killer Examples

In Games:

Dominating in fighting games or shooters
Griefing other players (negative expression)
Competing in esports tournaments
Leading successful raids or battles

Real World Parallel:

Competitive athletes
People driven by winning and competition

Player Type Distribution

Based on Bartle’s original MUD research:

Achievers: ~80%
Explorers: ~10%
Socializers: ~8%
Killers: ~2%

Note: Modern games show different distributions

Important Considerations

Players Are Not Fixed Types

People can exhibit multiple types
Types can change over time
Context matters (different games, moods, life situations)
Types can shift within a single session

Important Considerations (cont.)

Cultural and Temporal Factors

Original research was on 1990s MUDs
Modern games have different demographics
Cultural differences affect player motivations
Mobile gaming has changed player behaviors

Designing for Different Types

For Achievers

Clear progression systems
Measurable goals and milestones
Achievements and unlockables
Optimization opportunities

For Explorers

Hidden content and secrets
Complex, interconnected systems
Tools for experimentation
Non-linear exploration

Designing for Different Types (cont.)

For Socializers

Communication tools
Collaborative gameplay
Community features
Mentoring systems

For Killers

Competitive multiplayer
Skill-based challenges
Ranking and tournament systems
Fair competitive balance

Multi-Type Design

Best Practices

Layer systems to appeal to multiple types
Optional content for different motivations
Avoid forcing single-type gameplay
Balance competing needs

Multi-Type Example: World of Warcraft

Achievers

Level progression, gear upgrades, achievements

Explorers

Vast world to discover, complex talent systems

Socializers

Guilds, chat systems, group content

Killers

PvP battlegrounds, arena competitions

Modern Extensions

Yee’s Player Motivations (2006)

Achievement: Advancement, mechanics, competition
Social: Socializing, relationships, teamwork
Immersion: Discovery, role-playing, customization, escapism

Quantic Foundry’s Model (2015)

12 motivations across 6 factors
More nuanced and data-driven approach

Limitations of Bartle Types

Oversimplification of complex motivations
Binary thinking (you’re one type or another)
Context-dependent behavior not well captured
Cultural bias toward Western, male gamers
Temporal limitations (based on 1990s data)

Beyond Bartle: Modern Understanding

What We Know Now

Player motivations are multifaceted
Situational factors heavily influence behavior
Demographics matter (age, culture, experience)
Game genre affects player expression
Social context shapes motivations

Practical Application

Using Player Types in Design

Identify your target audience
Understand their primary motivations
Design systems that support those motivations
Test with real players to validate assumptions
Iterate based on observed behavior

Exercise: Player Type Analysis

Self-Reflection

Think about your own gaming preferences
Identify which type(s) you most align with
Consider how your preferences change in different games
Analyze a favorite game: how does it appeal to different types?

Key Takeaways

Bartle types provide useful framework for understanding motivations
Players are complex and may exhibit multiple types
Context matters more than fixed personality
Design for multiple types to broaden appeal
Modern research offers more nuanced understanding
Observe actual behavior rather than relying on assumptions

Next: Game design patterns and tools