by 0x611799f2a326ef01f6e5e499adf144fb3479b676 (uncoolpom)
Should the following $90,000 grant in the Platform category be approved?
Based on the results of this DAO Poll, the Decentraland Foundation is proposing to develop a pilot program for the Awards for Top Performing Scenes. The total amount of MANA requested in this grant will be fully allocated as rewards for the top 20 performing scenes over the next 3 months. Subsequently, the intention is to transfer ownership of the program to the community itself.
By implementing this approach, we aim to encourage scene creators to continuously enhance their work.
90,000 USD in DAI
3 months
0x8F55aFE45C1058a6cD353F4dC80A7dC41435C909
pamela.corvino@decentraland.org
The Decentraland platform emphasizes user-generated content, including wearables and scenes. This high-quality content not only attracts and retains users but also stimulates the marketplace, ultimately increasing revenue for the DAO. Therefore, it is crucial for the DAO to incentivize the creation of exceptional content to maintain this positive cycle.
Currently, the DAO operates a grant program to stimulate the development of in-world experiences. However, beyond this initial support, there are no direct incentives for creators to continue enhancing their scenes. To address this, we propose a Rewards Program for content creators with a focus on Web3 Users (those logged in with their own crypto wallet) and Engagement. This program aims to encourage existing creators and attract new ones, pushing the quality of content and emphasizing user retention.
We will utilize metrics such as Web3 Unique visitors, visits, retention rate, time spent, and returning visits to build a comprehensive ranking system.
How will we build it?
The process involves creating five different scene rankings, each corresponding to a key metric. These rankings are then combined using Borda’s count method, with the formula:
scene_score = value(position_ranking_1) + … + value(position_ranking_5)
The value of each position in the rankings is calculated using numbers derived from different percentiles of a normal distribution. This method ensures that ranking in the top positions is more rewarding.
Points to be considered:
Week 1 and 2
September 1st
October 2nd
November 1st
Fraud Prevention Measures: To ensure the integrity of the Rewards Program, we have implemented the following constraints to prevent fraud: