| name | player-experience-modeler |
| description | Map the intended emotional journey and psychological engagement model for a game. Defines what the player should feel at each stage of play and what motivates continued engagement. Use this skill when: (1) translating a vision and pillars into concrete emotional targets, (2) designing the pacing of a play session or campaign, (3) evaluating whether a game delivers the intended experience, (4) diagnosing why a game "feels off" despite sound mechanics, (5) choosing between design options based on which better serves the intended experience, (6) mapping flow state targets and challenge curves. Medium-agnostic — works for digital, tabletop, and hybrid games.
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Player Experience Modeler
Define what the player should feel, not just what they should do. Mechanics are the vehicle. Experience is the destination.
Experience Frameworks
Use these frameworks as lenses, not checklists. Apply whichever combination reveals the most about your specific game.
MDA (Mechanics-Dynamics-Aesthetics)
Work backward from desired aesthetics (emotional responses) to dynamics (runtime behavior) to mechanics (rules):
8 Aesthetic Categories (Hunicke, LeBlanc, Zubek):
- Sensation — Game as sense-pleasure
- Fantasy — Game as make-believe
- Narrative — Game as drama
- Challenge — Game as obstacle course
- Fellowship — Game as social framework
- Discovery — Game as uncharted territory
- Expression — Game as self-discovery
- Submission — Game as pastime
Identify your game's primary aesthetics (2-3 max). These must align with your pillars and core fantasy.
Bartle Player Types (first-pass lens, multiplayer)
A useful starting filter — 4 broad types from Richard Bartle's 1996 MUD research:
- Achievers — Want to accumulate, complete, master
- Explorers — Want to discover, understand, map
- Socializers — Want to connect, communicate, belong
- Killers — Want to compete, dominate, impose
Which types does your game primarily serve? Which are explicitly NOT served? Bartle is a quick first-pass. For deeper motivational modeling, use Quantic Foundry below.
Bartle's limitations: Only 4 types, derived from text MUDs, treats motivations as exclusive categories rather than spectra, and lacks empirical personality grounding. Use it for fast alignment — then refine with Quantic Foundry.
Quantic Foundry Gamer Motivation Model (primary motivation lens)
Nick Yee's empirically-derived model based on data from 1,250,000+ gamers. Identifies 12 motivation factors in 6 paired clusters across 3 high-level groups. Each motivation is a spectrum (0-100%), not a binary type — players have a unique profile across all 12.
3 Groups → 6 Clusters → 12 Motivations:
ACTION-SOCIAL (correlates with Extraversion in OCEAN)
├── Action
│ ├── Destruction — Chaos, explosions, mayhem, causing havoc
│ └── Excitement — Fast-paced, thrilling, action-packed, surprising
└── Social
├── Competition — Duels, matches, PvP, leaderboards, being the best
└── Community — Teamwork, chatting, groups, guilds, being on a team
MASTERY-ACHIEVEMENT (correlates with Conscientiousness in OCEAN)
├── Mastery
│ ├── Challenge — Difficulty, practice, skill mastery, hard-won victory
│ └── Strategy — Thinking ahead, planning, decision-making, second-order effects
└── Achievement
├── Completion — Collecting everything, finishing all missions, 100% completion
└── Power — Powerful characters, rare gear, leveling up, becoming dominant
IMMERSION-CREATIVITY (correlates with Openness to Experience in OCEAN)
├── Immersion
│ ├── Fantasy — Being someone else, somewhere else, role-playing, escapism
│ └── Story — Elaborate plots, interesting characters, narrative depth
└── Creativity
├── Design — Expression, customization, building, decorating, personal style
└── Discovery — Exploring, experimenting, tinkering, finding hidden things
OCEAN / Big Five Personality Correlation:
| OCEAN Trait | Gaming Motivation Group | Correlation |
|---|
| Openness (curious, imaginative) | Immersion-Creativity (Fantasy, Story, Design, Discovery) | Strong positive |
| Conscientiousness (organized, disciplined) | Mastery-Achievement (Challenge, Strategy, Completion, Power) | Moderate positive |
| Extraversion (outgoing, energetic) | Action-Social (Destruction, Excitement, Competition, Community) | Strong positive |
| Agreeableness (sympathetic, cooperative) | No clean cluster — correlates with Community, inversely with Competition | Partial |
| Neuroticism (anxious, sensitive) | No clean cluster mapping — research ongoing | Weak/none |
How to use this model:
For your game, score each of the 12 motivations as a target:
MOTIVATION TARGET NOTES
──────────────── ────────── ──────────────────────────────────
Destruction [0-100%] [How much does your game deliver this?]
Excitement [0-100%] [...]
Competition [0-100%] [...]
Community [0-100%] [...]
Challenge [0-100%] [...]
Strategy [0-100%] [...]
Completion [0-100%] [...]
Power [0-100%] [...]
Fantasy [0-100%] [...]
Story [0-100%] [...]
Design [0-100%] [...]
Discovery [0-100%] [...]
This creates a motivation fingerprint for your game. Compare it to:
- Your target player personas (do their motivation profiles match what you're building?)
- Comp titles (what's the motivation profile of Deep Rock Galactic vs. your game?)
- Market gaps (is there a motivation combination nobody's serving?)
Key advantage over Bartle: A player can score 90% on both Community AND Competition — they love cooperative teams AND being the best. Bartle forces a choice. Quantic Foundry recognizes that motivations coexist on spectra.
Self-Determination Theory (SDT)
Three innate psychological needs that drive intrinsic motivation:
- Autonomy — Feeling of choice and agency
- Competence — Feeling of mastery and effectiveness
- Relatedness — Feeling of connection and belonging
Map how your game satisfies each. Which is the primary driver? Where are the gaps?
Flow Model (Csikszentmihalyi)
The balance between challenge and skill that produces optimal engagement:
HIGH
ANXIETY │ FLOW
│ ╱
Challenge │ ╱
│ ╱
│ ╱
BOREDOM │╱ RELAXATION
└──────────────────
LOW Skill HIGH
Define your flow targets:
- Entry flow — Where should a new player sit on the challenge/skill curve?
- Session flow — How should challenge ramp within a single session?
- Mastery flow — How does the curve evolve over hours 1, 10, 100?
- Flow disruptors — What intentionally breaks flow? (Narrative beats, social moments, discovery pauses)
Lenses of Game Design (Schell)
Selected lenses particularly useful for experience modeling:
- Lens of Essential Experience — What experience do I want the player to have? What is essential to that experience?
- Lens of Surprise — What surprises the player? Does the game have enough of them?
- Lens of Curiosity — What questions does the game put in the player's mind? What can I do to make them even more curious?
- Lens of Endogenous Value — How can I make items in my game more valuable to players?
- Lens of the Hero's Journey — Does the player's emotional arc mirror a hero's journey?
Core Deliverables
1. Emotional Arc Map
Chart the intended emotional journey across two scales:
Per-session arc (what a single play session should feel like):
MOMENT EMOTION INTENSITY
─────────────── ──────────────────── ─────────
Session start Anticipation/Curiosity ██░░░
Early play Discovery/Orientation ███░░
Mid session Engagement/Flow ████░
Tension peak Excitement/Anxiety █████
Climax Triumph/Devastation █████
Resolution Satisfaction/Reflection ███░░
Session end Desire to return ██░░░
Campaign/progression arc (how the experience evolves over many sessions):
Map emotional evolution at session 1, session 5, session 20, session 50+. What changes? What stays constant? Where does the game's emotional center of gravity shift?
2. Engagement Model
What motivates continued play? Define the primary and secondary engagement drivers:
Short-term drivers (why keep playing this session):
- Immediate feedback loop satisfaction
- "One more try" pull
- Social momentum (friends are still playing)
- Unresolved curiosity (what's around the next corner?)
Medium-term drivers (why come back tomorrow):
- Progression toward a goal
- Unfinished business
- Social commitment (our group plays Thursdays)
- New content/discovery promise
Long-term drivers (why still playing in 6 months):
- Mastery depth
- Social identity (this is "our game")
- Evolving meta/challenge
- Creative expression possibilities
- Community belonging
3. Flow State Targets
For each phase of play, define the challenge-skill balance target:
PHASE CHALLENGE SKILL REQUIRED FLOW TARGET
────────────── ──────────── ──────────────── ──────────────
Onboarding Low Low Guided flow
Early game Medium-Low Low-Medium Learning flow
Core gameplay Medium Medium Engaged flow
Advanced play High High Mastery flow
Endgame/Meta Variable High Creative flow
Define what pushes the player OUT of flow and whether that's intentional:
- Difficulty spikes (intentional tension builder or bad balance?)
- Information overload (designed overwhelm or UI failure?)
- Downtime (narrative breathing room or pacing problem?)
4. Player Motivation Profile
Using the frameworks above, create a profile:
PRIMARY AESTHETICS (MDA): [2-3 from the 8 categories]
BARTLE QUICK-PASS: [1-2 types served, 1-2 explicitly NOT served]
QUANTIC FOUNDRY FINGERPRINT: [Score all 12 motivations — see template below]
SDT EMPHASIS: [Which need is primary?]
FLOW PHILOSOPHY: [Steady state? Oscillating? Escalating?]
KEY LENSES: [Which Schell lenses are most relevant?]
OCEAN IMPLICATION: [What personality traits does this game attract?]
Quantic Foundry motivation fingerprint for your game:
ACTION-SOCIAL MASTERY-ACHIEVEMENT IMMERSION-CREATIVITY
Destruction [__]% Challenge [__]% Fantasy [__]%
Excitement [__]% Strategy [__]% Story [__]%
Competition [__]% Completion [__]% Design [__]%
Community [__]% Power [__]% Discovery [__]%
Reading the fingerprint:
- High scores (70%+) = your game is designed to deliver this strongly
- Medium scores (30-70%) = present but not a focus
- Low scores (<30%) = intentionally absent or irrelevant
- The SHAPE of the profile matters more than individual scores — a game high on Community + Discovery + Strategy but low on Competition + Power + Destruction is a very different product than the reverse
- Compare your game's fingerprint to your target persona's fingerprint — mismatches reveal design-audience misalignment
Workflow
Building an experience model from scratch
- Start with the core fantasy (from Vision, Skill 1) — What emotion does the fantasy promise?
- Reference the pillars (from Skill 2) — Which pillars have direct emotional implications?
- Reference the aesthetic direction (from Skill 3) — How does sensory identity shape emotional delivery?
- Select applicable frameworks — Not all frameworks apply to all games. Pick 2-3 that reveal the most.
- Draft the emotional arc — Session level first, then campaign/progression level
- Define engagement drivers — Short, medium, and long-term
- Set flow targets — Per phase of play
- Build motivation profile — Synthesize across frameworks
- Cross-check — Does every element serve the core fantasy? Do engagement drivers match player personas?
Diagnosing a "feels wrong" problem
- Identify the moment that feels wrong
- What emotion was intended at this moment?
- What emotion is actually being produced?
- Check each layer: Is the mechanic right but the pacing wrong? The aesthetic misaligned? The challenge/skill balance off?
- Trace the misalignment to a specific deliverable (arc, engagement, flow, or motivation)
- Propose fix and flag to Coherence Engine (Skill 0) for impact analysis
Outputs
This skill produces:
- Emotional arc map — per-session and per-campaign
- Engagement model — short/medium/long-term drivers
- Flow state targets — per phase with intentional disruptors
- Player motivation profile — synthesis across frameworks
These outputs feed into:
- Skill 7 (Core Loop) — Loop must deliver the modeled experience
- Skill 10 (Economy) — Reward schedules serve engagement drivers
- Skill 12 (Narrative) — Narrative serves emotional arc beats
- Skill 13 (Levels) — Pacing curves implement the emotional arc
- Skill 16 (Playtest) — Playtests verify whether intended emotions land
