EthUX — Ethereum UX Pain Points, Solutions & Research
A community-sourced map of 38 Ethereum UX pain points with real user evidence, solution checklists, and adoption tracking. Built from 32,000+ community reports.
UX Problem Categories
- User Onboarding — Make the first 5 minutes effortless. 5 problems including the gas hurdle, recovery phrase friction, and jargon overload.
- Transaction Clarity — Help users understand every transaction. 7 problems including blind signing, signing fatigue, and redundant approvals.
- Cross-chain Flow — Make moving between chains invisible. 4 problems including bridging pain, asset fragmentation, and manual network switching.
- Safety & Security — Build trust through transparency and user control. 3 problems including scam prevalence, key management burden, and spam tokens.
- Mobile & Connectivity — Bring wallet connection up to mobile standards. 3 problems including the mobile connection dance and dropped sessions.
- Accessibility — Open the door for 75% of non-English speakers. 3 problems including jargon overload, assumed user knowledge, and poor localization.
- Protocol Design — Unlock better UX at the protocol layer. 2 problems including no default native account abstraction and public-by-default activity.
- Daily Operations — Polish the flows people use every day. 5 problems including unpredictable gas fees, missing fiat values, and NFT display failures.
Builder Checklists
- Token Approvals — Permit2, EIP-5792, exact-amount approvals (5 patterns)
- Transaction Signing — EIP-712, simulation, SIWE (5 patterns)
- Gas & Fees — Paymasters, fiat display, ERC-20 gas payment (5 patterns)
- Multi-Chain — Cross-chain intents, unified balances (5 patterns)
- Onboarding — Progressive disclosure, jargon replacement, i18n (6 patterns)
- Wallet Connection — EIP-6963 discovery, deep linking (5 patterns)
- Safety & Security — Risk-tiered warnings, ENS, spam filtering (5 patterns)
For AI Agents & Developers
Machine-readable data available at:
This site requires JavaScript for the full interactive experience. The data above is also available in machine-readable formats via the links above.