Title
Gameland - provide a tool for analysis players graph
Authors and contributors
Status
This proposal has been subject to a 7-day discussion period and received less than the required poll votes (minimum 25% “Yes” votes) required to proceed to a vote. The proposal will therefore not proceed to a vote and discussions are closed.
Summary
Gameland is developing a highly customized player profile analysis tool for Merit Circle. This tool collects, analyzes, and visualizes player data to provide in-depth insights into player behavior, preferences, and engagement. It helps you gain a better understanding of your player community, optimize gaming experiences, offer personalized recommendations, and increase user engagement. If adopted this proposal will result in Merit Circle DAO funding Gameland with up to $80,000 to develop a customized player profile analysis tool for Merit Circle.
Specification of the proposal
Gameland has established a new game social data analysis system. On one hand, transforming structured data into readable pages can help users better understand and analyze game data. On the other hand, combining with the real user review ecosystem can provide valuable feedback and optimization suggestions for developers, thus achieving a more fair, transparent, and sustainable game ecosystem.
Gameland adopts an open data graph, which can help users and developers manage their game network data more easily and return the ownership of social data to users. This means that users can better control their own data and decide whether to share it to get a better gaming experience.
In summary, Gameland’s new game social data analysis system can help game users and developers better understand and manage game data, thus achieving a more fair, transparent, and sustainable game ecosystem.
Motivation
【Specific Features】
Our player profile analysis tool will provide the following key features:
Data Collection and Integration: Automatically collect and integrate player data from various games, including behavior, interactions, and game metrics.
Data Analysis and Insights: Utilize advanced data analysis techniques and machine learning algorithms to provide real-time player insights and behavior pattern recognition.
Personalized Recommendation Engine: Offer personalized game content recommendations and activity suggestions based on player interests and behaviors to increase player engagement and retention.
Visual Reports and Dashboards: Provide intuitive data visualization reports and dashboards displaying key metrics, trends, and player behavior patterns to help you quickly understand and interpret the data.
Real-time Monitoring and Alerts: Monitor player activities and game metrics, providing real-time alerts and notifications, along with proactive alerts for key events and trends.
User Segmentation and Cohort Analysis: Perform user segmentation and cohort analysis based on player characteristics and behaviors to gain a more precise understanding of different player segments’ needs and preferences.
Interactive Data Exploration: Provide interactive data exploration tools that allow you to freely explore and discover potential patterns and trends within player data.
Rationale
In-Depth Understanding of Player Community: Through data-driven analysis, we uncover player behavior patterns, preferences, and interaction styles, providing you with comprehensive player insights.
Personalized User Experience: Based on players’ interests and behaviors, we offer personalized recommendations, activities, and rewards, enhancing user engagement and loyalty.
Optimizing Game Design: By analyzing player feedback and data, we provide suggestions on game mechanics, level design, and social interactions, optimizing the gaming experience and flow.
Supporting Business Decisions: With real-time metrics and data visualization reports, we provide accurate data support to help you make informed business decisions.
Budget
To successfully develop and implement this player profile analysis tool, we anticipate requiring a certain level of financial support. Based on our preliminary assessment, we estimate that the project would require funding in the range of approximately $80,000.
Poll
If adopted, this proposal will result in Merit Circle DAO funding Gameland with up to $80,000 to develop a customized player profile analysis tool for Merit Circle. Do you want this proposal to proceed to a vote?
- Yes
- No
0 voters
Copyright
Copyright and related rights waived via Creative Commons CC0