Exploring EigenLayer
🎯 Objective
What are you trying to achieve?
Eigenlayer wants to meet the evolving needs of its user base by enhancing the platform’s efficiency and user experience by leveraging on-chain data to gain insights into platform utilisation, user behavior, and sentiment.
As an analyst, evaluate the Eigenlayer platform’s efficiency and user experience. Your primary focus is on on-chain data, analysing metrics help assess the platform's popularity, utilisation, and overall health.
Investigate protocol growth metrics and how well the protocol is attracting and retaining new users. Also assess user engagement and confidence in Eigenlayer.
Track the number of Liquid Staking Tokens (LSTs) restaked on Eigenlayer to assess the platform's ability to attract and retain staking assets. Monitor metrics relevant to overall health and attractiveness of Eigenlayer.
🤔 Questions
Questions you might have
"Does the platform stop drawing new users?"
"How confident are users in the platform, as noted by the deposit/withdrawal counts?"
"Are tokens flowing out of/into the platforms?"
"Are there any shift in preference on restaking via validators versus LSTs?"
🔍 Exploration
How can you use Orus to explore these answers?
Analyze User Acquisition & Behaviour

[ETH]C [EIGENLAYER]APP NEW G 180D

[ETH]C [EIGENLAYER]APP DAU G 180D

[ETH]C [EIGENLAYER]APP DC G 180D

[ETH]C [EIGENLAYER]APP WC G 180D
Analyze Operations

[ETH]C [EIGENLAYER]APP LN G 180D

[ETH]C [EIGENLAYER]APP [STETH]A DV - [ETH]C [EIGENLAYER]APP [STETH]A WV G 180D

[ETH]C [EIGENLAYER]APP TVL G 180D

[ETH]C [EIGENLAYER]APP TVL / [ETH]C [EIGENLAYER]APP LN S / [ETH]C [ETH]A P G 180D
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