NOVASMC

GAME DECISION MAP

Fate/Grand Order

Turn-based RPG · Mobile · 2015

Current analysisBaseline 2026-06-23Open Decision Analysis →

Summon Servants and Craft Essences → build a party and enter story, event, or challenge quests → select Command Cards, skills, and Noble Phantasms in turn-based combat → spend AP to farm QP, EXP, and materials → level, ascend, skill, Grail, and equip Servants → unlock more story and event goals → summon or reinvest and battle again.

Recurring Structures

Detailed Repeating Structures

What repeats and keeps the system moving?

CORE CLASSIFICATION

Compounding Growth

Summon Servants and Craft Essences → build a party and enter story, event, or challenge quests → select Command Cards, skills, and Noble Phantasms in turn-based combat → spend AP to farm QP, EXP, and materials → level, ascend, skill, Grail, and equip Servants → unlock more story and event goals → summon or reinvest and battle again.

Outputs strengthen assets, capabilities, or access and open a stronger next cycle.

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  1. Core

    Async Challenge Loop

    Challenge quests, Super Recollection, Grail Front and Grand-related battles act as low-pressure mastery checks.

  2. Acquisition

    Summon-Growth-Content-Resummon Loop

    Core loop: summon/acquire → raise servants → farm and clear story/events/high difficulty → gain rewards/attachment → resummon.

  3. Supply

    AP Farming Loop

    AP fuels daily/free/event farming and links growth content to / growth economy.

  4. Return

    Event Loop

    Events provide limited story, event quests, currency, shop, pickup and post-event exchange lifecycle.

  5. Cooperation

    Friend Support Weak-Coop Loop

    Support borrowing connects to story/event progression without real-time social obligation.

Bottlenecks

Bottleneck Patterns

Where do decisions and flow break?

CORE CLASSIFICATION

Decision and Planning Calculability Breakdown

The affected flow runs through growth-view → unlock/resource → first-use/result; its limiting point is the growth economy planning handoff.

Multiple goals, resources, states, rules, and paths cannot be compared on one decision surface, forcing repeated reprioritization.

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  1. Core

    growth-view→unlock

    The affected flow runs through growth-view → unlock/resource → first-use/result; its limiting point is the growth economy planning handoff.

  2. Supporting

    Limited summon components fail to form one predictable contract

    The affected flow runs through state predicts choice/trust beyond price preference; its limiting point is the asset lifecycle handoff.

  3. Supporting

    T M

    The affected flow runs through residual after controls; its limiting point is the entry handoff.

  4. Supporting

    repeat→exchange→use

    The affected flow runs through repeat → exchange → use; its limiting point is the economy commerce settlement handoff.

  5. Supporting

    T M

    The affected flow runs through borrow/provide → friend → provider revisit; its limiting point is the social result handoff.

  6. Supporting

    clear→record

    The affected flow runs through clear → record/recognition → revisit; its limiting point is the social result handoff.

Contradictions

Contradiction Patterns

What must improve, and what must remain protected?

CORE CLASSIFICATION

Action and Return Continuity vs System Depth and Throughput

Across qualification/resource/first-use legibility, improve Complexity Vs Convenience while preserving None.

Continuity to the next action, return, or reinvestment must improve while route diversity, strategic depth, and throughput remain protected.

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  1. Core

    Core Contradiction

    Across qualification/resource/first-use legibility, improve Complexity Vs Convenience while preserving None.

  2. Supporting

    Limited Summon Contract Predictability Pressure

    Across summon-or-stop contract predictability, improve Revenue Vs Trust while preserving Popularity Vs Scarcity.

  3. Supporting

    Story Progression Access & Legibility Pressure

    Across chapter/unlock/current-entry legibility, improve Complexity Vs Convenience while preserving None.

  4. Supporting

    Event Effort-to-Exchange

    Across effort → exchange → use continuity, improve Complexity Vs Convenience while preserving Performance Vs Load.

  5. Supporting

    Friend Support Relationship Accumulation Gap

    Across reciprocity/relationship-memory persistence, improve Freedom Vs Control while preserving Performance Vs Load.

  6. Supporting

    Challenge Mastery Recognition Accumulation Gap

    Across mastery recognition/re-entry persistence, improve Popularity Vs Scarcity while preserving None.

Solution Mechanisms

Solution Mechanisms

Which intervention mechanism changes the condition?

CORE CLASSIFICATION

Layered and Progressive Disclosure

Apply Layered and Progressive Disclosure across Balanced Growth-State Ladder while preserving the protected value.

Separate complex meaning, rules, and strategy into layers and reveal only the depth needed at each moment.

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  1. Core

    Balanced Growth-State Ladder

    Apply Layered and Progressive Disclosure across Balanced Growth-State Ladder while preserving the protected value.

  2. Supporting

    Layered Summon Choice Contract

    Apply Loss Trust and Entitlement Buffer across Layered Summon Choice Contract while preserving the protected value.

  3. Supporting

    Story Authority Route Ladder

    Apply State and Rule Visibility Encoding across Story Authority Route Ladder while preserving the protected value.

  4. Supporting

    Event Earned-Value Handoff Signal

    Apply State and Rule Visibility Encoding across Event Earned-Value Handoff Signal while preserving the protected value.

  5. Supporting

    Voluntary Support Reciprocity Recall & Re-entry Signal

    Apply State and Rule Visibility Encoding across Voluntary Support Reciprocity Recall & Re-entry Signal while preserving the protected value.

  6. Supporting

    Challenge Mastery Recall & Re-entry Signal

    Apply State and Rule Visibility Encoding across Challenge Mastery Recall & Re-entry Signal while preserving the protected value.

Solution Compositions

Solution Compositions

How should interventions be combined and sequenced?

CORE CLASSIFICATION

Single-Track Localized Bundle

Connect 1 source-declared mechanism across Balanced Growth-State Ladder as Single-Track Localized Bundle.

Combine a core intervention with stabilizing or accelerating support within one problem track and keep its impact localized.

View pattern definition →
  1. Core

    Balanced Growth-State Ladder Composition

    Connect 1 source-declared mechanism across Balanced Growth-State Ladder as Single-Track Localized Bundle.

  2. Supporting

    Layered Summon Choice Contract Composition

    Connect 1 source-declared mechanism across Layered Summon Choice Contract as Single-Track Localized Bundle.

  3. Supporting

    Story Authority Route Ladder Composition

    Connect 1 source-declared mechanism across Story Authority Route Ladder as Single-Track Localized Bundle.

  4. Supporting

    Event Earned-Value Handoff Signal Composition

    Connect 1 source-declared mechanism across Event Earned-Value Handoff Signal as Single-Track Localized Bundle.

  5. Supporting

    Voluntary Support Reciprocity Recall & Re-entry Signal Composition

    Connect 1 source-declared mechanism across Voluntary Support Reciprocity Recall & Re-entry Signal as Single-Track Localized Bundle.

  6. Supporting

    Challenge Mastery Recall & Re-entry Signal Composition

    Connect 1 source-declared mechanism across Challenge Mastery Recall & Re-entry Signal as Single-Track Localized Bundle.

  7. Supporting

    Parallel Solution-Mechanism Composition

    Connect 6 source-declared mechanisms across Balanced Growth-State Ladder as Core-First Branch-Sequential Portfolio.

  8. Supporting

    Parallel Solution-Mechanism Composition

    Connect 6 source-declared mechanisms across Balanced Growth-State Ladder as Parallel Local Contracts with Independent Rollback.