Problem definition
A bottleneck mediating support contribution, career outcomes and access.
View all bottlenecksGAME DECISION MAP
A bottleneck mediating support contribution, career outcomes and access.
View all bottlenecksSeparate support baseline floors, protection of career choice and competition caps through versioned rules, preserving support investment, characters, competitive legitimacy and free routes.
View all mechanismsChoose a trainee, two legacy parents, and a six-card Support deck → run an approximately three-year Career by choosing training, rest, outings, races, and skills → build stats, skills, mood, relationships, and meet race goals → finish the scenario and create a trained Uma with inheritance factors → enter Team Trials, seasonal competition, collection, and inheritance → reinvest rewards and assets into the next Career.
REASONING IN THIS GAME
These entries describe the selected design. Design selection is distinct from actual application and effect validation. The classified objects below retain their own roles and connections.
Realign attribution, exposure, conversion and governance at the result-contribution boundary toward the established recovery goals.
Recurring Structures
What repeats and keeps the system moving?
2 analysis items · Read the method
Choose a trainee, two legacy parents, and a six-card Support deck → run an approximately three-year Career by choosing training, rest, outings, races, and skills → build stats, skills, mood, relationships, and meet race goals → finish the scenario and create a trained Uma with inheritance factors → enter Team Trials, seasonal competition, collection, and inheritance → reinvest rewards and assets into the next Career.
Outputs strengthen assets, capabilities, or access and open a stronger next cycle.
View pattern definition →This source-declared core loop connects the game's actual repeat sequence.
This source-declared loop connects the game's actual repeat sequence.
The affected flow runs through Support depth → Career result contribution; its limiting point is the training growth planning handoff.
Multiple goals, resources, states, rules, and paths cannot be compared on one decision surface, forcing repeated reprioritization.
View pattern definition →The affected flow runs through Support depth → Career result contribution; its limiting point is the training growth planning handoff.
The affected flow runs through setup → result attribution; its limiting point is the training mastery result handoff.
The affected flow runs through Career demand aggregation; its limiting point is the routine training return handoff.
The affected flow runs through calendar → required action; its limiting point is the liveops event return handoff.
The affected flow runs through expiry → residual conversion; its limiting point is the result handoff.
The affected flow runs through completion → Career use; its limiting point is the character collection handoff.
Contradictions
What must improve, and what must remain protected?
6 analysis items · Read the method
Across asset-depth/result mediation quality; Support asset-depth in-run choice, improve Freedom Vs Control while preserving Revenue Vs Trust.
Causes and retry conditions for outcomes, failures, and fairness must become attributable while strategic, combat, and competitive depth and rule integrity remain protected.
View pattern definition →Across asset-depth/result mediation quality; Support asset-depth in-run choice, improve Freedom Vs Control while preserving Revenue Vs Trust.
Across choice/result attribution quality; setup revision → healthy retry, improve Complexity Vs Convenience while preserving None.
Across time/demand exchange quality; completion → claim → return, improve Performance Vs Load while preserving Complexity Vs Convenience.
Across calendar/action compatibility; reward → participation window, improve Performance Vs Load while preserving Freedom Vs Control.
Across exchange residual/choice safety; point-expiry value continuity → next-choice predictability, improve Revenue Vs Trust while preserving Freedom Vs Control.
Across acquisition → completion → Career use coherence; affection/use choice, improve Popularity Vs Scarcity while preserving Complexity Vs Convenience.
Solution Mechanisms
Which intervention mechanism changes the condition?
6 analysis items · Read the method
Apply Context Asset and Authority Isolation across asset-depth/result mediation quality; Support asset-depth in-run choice while preserving the protected value.
Isolate truth and responsibility by surface, asset, currency, role, and authority so rules do not bleed across contexts.
View pattern definition →Apply Context Asset and Authority Isolation across asset-depth/result mediation quality; Support asset-depth in-run choice while preserving the protected value.
Apply Context Asset and Authority Isolation across choice/result attribution quality; setup revision → healthy retry while preserving the protected value.
Apply State and Rule Visibility Encoding across Career while preserving the protected value.
Apply State and Rule Visibility Encoding across calendar/action compatibility; reward → participation window while preserving the protected value.
Apply Loss Trust and Entitlement Buffer across exchange residual/choice safety; point-expiry value continuity → next-choice predictability while preserving the protected value.
Apply State and Rule Visibility Encoding across acquisition → completion → Career use coherence; affection/use choice while preserving the protected value.
Solution Compositions
How should interventions be combined and sequenced?
8 analysis items · Read the method
Connect 1 source-declared mechanism across asset-depth/result mediation quality; Support asset-depth in-run choice 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 →Connect 1 source-declared mechanism across asset-depth/result mediation quality; Support asset-depth in-run choice as Single-Track Localized Bundle.
Connect 1 source-declared mechanism across choice/result attribution quality; setup revision → healthy retry as Single-Track Localized Bundle.
Connect 1 source-declared mechanism across Career as Single-Track Localized Bundle.
Connect 1 source-declared mechanism across calendar/action compatibility; reward → participation window as Single-Track Localized Bundle.
Connect 1 source-declared mechanism across exchange residual/choice safety; point-expiry value continuity → next-choice predictability as Single-Track Localized Bundle.
Connect 1 source-declared mechanism across acquisition → completion → Career use coherence; affection/use choice as Single-Track Localized Bundle.
Connect 6 source-declared mechanisms across asset-depth/result mediation quality; Support asset-depth in-run choice as Core-First Branch-Sequential Portfolio.
Connect 6 source-declared mechanisms across asset-depth/result mediation quality; Support asset-depth in-run choice as Parallel Local Contracts with Independent Rollback.