Vezina

Problem: Communications of many web 3 projects are focused on a narrow fan community and are boring for a wide audience.

Solution: NHL (National Hockey League) uses statistics with multiple scores that allow almost every player to determine the metric in which he will be the leader. These metrics look cool and actively reproduced in the media (PR effect).

Using such statistics in web3 projects will achieve the following goals:

1. encouragement and motivation of users,
2. information occasion, when people will share especially interesting metrics in social networks and they will be published by the media. Can be useful for almost any Web3 protocol but primarily for those with a large number of users.

Statistics can be built on the basis of various indicators that determine user interaction with the protocol:

• tools: tokens, NFTs, messages, transactions, etc,
• actions: entry, mint, buy, sell, send, etc,
• metrics: amount, volume, quantity, etc,
• time frames: at one time, per hour, per day, per month, etc.

Examples:

• 3 days of activity,
• the largest deposit increase in the last hour,
• new token acquisition.