This proposal outlines a comprehensive research and analysis project focused on the Ethereum Name Service (ENS) community. Our team will conduct desk research, design and conduct a survey resistant to Sybil attacks/bots, and analyze the data collected to generate valuable insights and intelligence. We will then publish this information publicly to benefit all ENS ecosystem stakeholders.
This project will be executed with attention to detail and a commitment to providing high-quality deliverables. The end result will be a comprehensive report that offers valuable insights into the usage patterns, pains, and preferences of ENS community members, who actively use ENS domains. We call this key segment “The 1%”.
Full proposal with detail and graphic examples on our Notion.
datalatte and surveylatte are two-sided dApps that allow users to anonymize, tokenize, and monetize their data so that this data can then be used by web3 projects to gain insights and market information. To see a demo of our product, visit datalatte.com/datalatte2go.
Every research and design process begins with the discovery phase, where we identify the most pressing questions and pain points to address. In this case, we have already completed preliminary desk research, data analysis, and stakeholder interviews with ENS.vision. This initial work will help guide the rest of the project and ensure that we are focused on the most important issues facing the ENS community.
Even though we have already collected a significant amount of information, we are open to conducting additional discovery interviews or workshops to better understand the research needs of the ENS ecosystem. This will help ensure that our study is comprehensive and addresses the most pressing issues facing the community. We are committed to working closely with stakeholders to identify the best ways to bring value to the ENS ecosystem.
Research recruitment is challenging due to the motivation-participation dilemma:
We have a recruitment pipeline that solves this problem by only allowing ENS holders to participate, and using algorithmic and manual service design solutions to minimize Sybil abuse. Participants will receive stable coins, $ETH, or $ENS as rewards, plus reputation tokens from datalatte.
The ENSlatte survey is designed to gather insights into the usage patterns, pains, and preferences of ENS community members, who actively use ENS domains. We call this key segment “The 1%”:
[Interactive data visualization]
Our team of data scientists will analyze the survey results and publish them, providing valuable information to native ENS projects that can help them build applications that better serve the needs of the community. This information will be valuable for stakeholders looking to support the continued growth and development of the ENS ecosystem.
- *We need to identify and understand Pioneers, The 1%: who use ENS domains for actual applications. details
- We need to sophisticate speculator segmentation (The 99%-s) details
With this data, we can predict needs and preferences about subdomains, not only to increase engagement and trading activity but for ideas for integrations and new use cases and more effective onboarding details
- This structured data can be analyzed with NLP tools and provide more than trend forecasts. It is a rich source of data and product ideas and implicit expectations.
ENS domains provide a unique opportunity to bypass the wallet connecting process for collecting survey data, allowing users to fill out surveys quickly and easily without needing to sign transactions. This makes it easier for mobile users to collect survey data, reducing the mobile user churn rate.
The ENSlatte survey is only open to ENS holders, but in future surveys conducted for non-ENS users, we will implement ENS subdomain minting of xxx.datalatte.eth for those who do not have their own ENS domain. The technical details of this product are beyond the scope of this proposal, but we will be sure to participate in relevant discussions about L2 subdomain minting in the appropriate subgroups.
ENS ecosystem research, 23th Dec 22
As part of our pre-research on the ENS ecosystem and its stakeholders, we have conducted desk research to identify the most well-known ENS projects. We also interviewed ENS.vision, one of the ecosystem’s most popular projects, to understand their pain points and the type of insights they would find most valuable. We are open to conducting additional interviews with interested stakeholders to help refine the design of our survey.
ENSlatte survey design, 5th Jan 23
Our team of psychologists and data scientists has expertise in creating surveys and has previously designed surveys for our dApp to gather insights about our users’ habits and interests. This survey will be specifically targeted at the ENS community and will aim to gather information about their holdings, interests, and demographic and background information. We are well-equipped to design a survey that will provide valuable insights about the ENS community.
ENSlatte survey conducting, 10th Jan 23
By integrating ENS domain support into our mobile app, members of the ENS community will be able to easily access the survey from their pocket and earn rewards for participating. We have also designed anti-spam modules and data quality filters to ensure that only genuine respondents are included in the survey results. This will help us generate accurate and reliable insights about the ENS community.
5.0k$ - for the 1000 ENS holders (5$ per respondent)
(we are open to resizing the sample size and creating a pilot first.)
ENSlatte insights publication, 25th Jan 23
Once the survey is complete, our data analysts and scientists will run analytics and computations on the collected data to generate relevant insights for the ecosystem. These insights will be published for the benefit of all stakeholders, providing valuable information that can support the growth and development of the ENS ecosystem.
Example for relevant product analytics, conducted by our team: You can see our most recent peer-reviewed publication at Lisbon’s AI conference 22: Analysis and Prediction of Netflix Viewing History Using Netflixlatte as an Enriched Real Data Pool
P.S. Timeline assumes this grant to be accepted by mid-Dec. Depending on the acceptance of this proposal, the deadlines shifts accordingly.
Total budget 14.5k$,
- which out of that 5k$ is reserved for the fastest 1000 ENS community members upon survey participation,
- and 9.5k$ goes to ens discovery, survey design, research conduct, data analysis and insights publication.
- we estimate hourly rates according to international averages in the field:
Message to readers:
Thanks for your time reading our proposal, we are more than happy to hear your suggestions and questions.