분기별 사용량 공개와 관련된 잠재적 문제:

[洛雨]

Potential problems and countermeasures

1. Data lag and accuracy
If the quarterly data is updated less frequently (e.g. once a quarter), version changes (such as new characters or equipment) may not be reflected in a timely manner. For example, the new hero Orca added in the March 2023 update may not be fully counted before the data is updated.

Suggestion: Developers can shorten the data update cycle (e.g. once a month) and provide real-time usage trend charts to help players adjust their strategies in a timely manner.

2. Lineup solidification and game fatigue
The concentration of high-usage characters may lead to a single gameplay. For example, if most players use the same lineup in a guild war, it may reduce the freshness of the game.

Suggestion: Developers can alleviate this problem in the following ways:

- Introduce a limited-time "disable mechanism" to limit the number of appearances of high-usage characters.

- Design specific gameplay (such as the "unpopular character challenge") to encourage players to try a diverse lineup.

3. Unfairness in resource allocation
The need for special weapons for high-usage characters may increase acquisition costs, leading to a widening gap between free players and paying players. For example, high-level six-star heroes may exacerbate resource inequality.
Suggestion: Developers can release enhanced resources or green hammers through activities or stores to try (but not completely) lower the threshold for acquisition.

Summary

This update of the Korean server reshapes player strategies and game ecology through data transparency: players can plan resources more accurately, and developers can adjust the balance more efficiently. However, the data-driven ecology also faces challenges such as lineup solidification and marginalization of unpopular characters. In the future, how to find a balance between strategy guidance and diversity encouragement will be the key to the sustainable development of "GT". For players, the core of improving the game experience is to use data reasonably instead of blindly following the trend and explore personalized lineups based on their own operating habits.

In addition, if you plan to "not ban heroes"
Ⅰ. Then, add map adjustments or increase;
①［Gravity Map］
Reduce the flexibility and convenience of mobile heroes
Force players to choose a simple and rough combination of critical hits and general attacks
②［Reverse World］
Reduce the damage of general attacks and critical hits,
Force players to use flexible and mobile heroes
③［Land of the Ancestors］
Focus on: increasing skill recovery speed
Reduce the increase in critical hits or general attack damage
Focus on fast, accurate and ruthless strategies
...
Ⅱ. Add a rotating skill tree system with a season theme (may have a high development cost)
Allow temporary skills to be selected and role positioning to be changed.

Ⅲ. Incentive resource feedback mechanism
Design usage rate ladder rewards
Using unpopular heroes, you can add
Level 70 awakening stones, gold coins random treasure box (must set a minimum),
Experience random treasure box (must set a minimum),
IV. Design a season passive skill tree,
Enlarge the positioning of heroes to avoid being selected for a large team due to versatility.

V Dynamic balance feedback system
Add [Player voting fine-tuning] mechanism
Allow players to "increase or decrease the affected skill cooldown or skill details, general attack damage according to the usage rate"
VI Data-driven gentle adjustment:
Provide a "dynamic usage rate heat map"
Intuitively display the usage trend in different time periods
Add potential hero tags (mark heroes with low usage rates)
VII Temporary gain mechanism
Apply "periodic" buffs to unpopular heroes
rather than directly weakening strong heroes.

Through the comprehensive design of five dimensions, namely, dynamic adaptation of the environment, incentive resource allocation, reconstruction of the gameplay ecosystem, community co-creation, and flexible data adjustment, GT can effectively guide players to try out diverse lineups without relying on a banning mechanism. These solutions can not only retain the strategic depth brought by data transparency, but also stimulate players' creativity through non-compulsory means, and ultimately achieve the coexistence of "version answers" and "personalized lineups". For example, in the S39 season of Honor of Kings, the diversity of the peak lineup was increased by 42% through independent points for lanes and a bonus mechanism for unpopular heroes, while maintaining competitive fairness. This experience is worth learning from. For developers, the key is to find a balance between "guidance" and "freedom", so that data can become a tool for players to explore rather than a shackle.

thank you

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