为何要采用抢先体验这种模式？

“We're launching Spray Forge in Early Access because we want to build the most effective spray training experience possible with direct input from our community. While our core spray training system is fully functional and provides comprehensive training scenarios, Early Access allows us to gather valuable feedback from real users about which features and training modules are most impactful for their learning goals.”

这款软件的抢先体验状态大约持续多久？

“We plan to remain in Early Access for roughly 6-12 months. This timeline allows us to implement the most requested community features and expand our training system based on user feedback. The exact duration will depend on the complexity of suggested improvements and how quickly we can integrate valuable community input, but we're committed to delivering a polished, comprehensive spray training experience.”

计划中的完整版本和抢先体验版本到底有多少不同？

“The Early Access version provides the core overlay functionality for spray pattern tracking and analysis. We're exploring potential additions such as enhanced statistics, additional customization options for the overlay display, and improved tracking features. The specific improvements we implement will be guided by community feedback on what overlay enhancements would be most valuable.”

抢先体验版本的现状如何？

“The spray pattern training system is functional with multiple weapons available for practice. Players can train recoil control, track basic progress, and customize controls. Some features are still being refined and we're actively developing improvements based on user experience.”

在抢先体验期间和结束之后，这款软件的价格会有所不同吗？

“The price will increase when we leave Early Access. Early Access supporters get the full development experience and all future updates at the current lower price. The full release price will reflect the expanded feature set and polish developed through Early Access feedback.”

在开发过程中，你们是如何计划让玩家社区参与进来的？

“We actively monitor community feedback through Steam discussions, Discord, Reddit, and direct user reports. Player suggestions help us prioritize which features to develop next and identify areas needing improvement.”