Gamer DNA Framework

by  John Uke Last update: September 2, 2024

The Gamer DNA Model is usable by gamers for clarity about games they will enjoy playing and who to play them with. It is also useful for game designers to know the types of fun they are optimizing for. GameTree’s app uses a test with the Gamer DNA Model that is used with machine learning to connect players with the people they will enjoy playing with most. The model expands upon the famous Aesthetics of Play and Gamer Motivation models which are used in game design. GameTree’s is the first model useful for gamers themselves.

Action

Excitement: adrenaline, explosions, fast pacing

Mechanical Skills: timing, accuracy, precision, reflexes

Strategy

Complexity: many rules, high learning curve, depth

Critical Thinking: strategic decision making, foresight, analysis

Challenge

Difficulty: repeated failure, pushing limits, mastery

Practice: training, watching replays, exercises, self-improvement

Competition

Dominance: pwning noobs, winning, power, influence

Status: leaderboards, rankings, levels

Fellowship

Teamwork: cooperation, helping, unity, shared/synergistic objectives

Socializing: friends, relationship building, emotional connection

Completion

Achievement: badges, accomplishments, collectibles

Grinding: progression for time spent, accumulating resources

Discovery

Autonomy: freedom of choice, multiple paths, lack of required objectives

Exploration: procedural generation, large world, diverse activities

Aesthetics

Graphics: distinct style vs realism, thematic relevance, attention to detail

Sound: atmosphere, voice acting, sound effects, music

Expression

Artistic Creativity: variety, options, uniqueness

Roleplay: immersion, make-believe, choose-your-own-adventure

Story

Characters: interesting, engaging, believable, memorable

Lore: backstory, world-building, history, setting