“EN-01-Game-Design-Production”

Test plan: training-dummy AI, frame timeline docs in-game optionally, tuning

Playtest Plan & Qualitative Analysis

Runs useful playtests: recruitment, tasks, observation, and unbiased debrief interviews; converts footage into design changes.

FTUE / Onboarding Flow Designer

Designs the first-time-user-experience beat-by-beat: teach by doing, hook timing, and drop-off measurement. Critical for F2P retention.

Progression / Skill Tree / Loot Tiers Designer

Designs satisfying progression that offers build expression without false choices or balance traps.

Core Gameplay Loop Analyst

Stress-tests whether a proposed loop actually compels — identifies missing verbs, reward pacing, and where players will churn.

Store Page / Pitch Deck / Trailer Brief

Marketing-ready positioning assets: hook hierarchy, trailer beat sheet, store screenshots with intent — written as a brief to marketing/art.

Rules: complete mechanic rules as numbered statements with all formulas,

Inputs/Outputs: player inputs (per platform/controller mapping), feedback

Content: how much content the system needs at launch (items/enemies/levels)

Edge cases & failure states: disconnect, pause, death mid-action, inventory

Accessibility: alternatives (remapping, reduced effects, timing assists),

Analytics events + success metrics, out-of-scope list, open questions, and a

Map the loop formally: action → challenge → feedback → reward → reinvestment

Tension model: what creates risk/failure cost? Is failure legible and

Reward pacing: cadence model (micro rewards per X seconds, minor per session,

Depth ladder: how a new, skilled, and expert player express mastery differently

Churn points predicted in first week, and 3 concrete changes (each: expected

Inventory table: currency/resource | source(s) with rate formula | sink(s)

Source/sink model: expected income per player type (casual/active/whale) per

Progression curves: XP-to-next-level, cost/income, and power curves as