Open HBesso31 opened 1 month ago
Workshop:
Onboard real clients for real parameters: make dummie attestations with only front end. Detail: Request from MaxiTanda 10 clients with Business, Owner, and Credit data to participate in the first draft. They will provide their real data along with their credit request and interest rate tolerance. We will make dummie attestations on front end. Then, use those attestations to show at workshop sessions and surveys to assess risk apetite, minimum trust score required, loans offered, maturity and interest rates asked by lenders, and any other insights from lenders.
Within the workshop sessions require participants to actually make a commitment of lending from $50 to $500. Each commitment is guaranteed to be refunded in case of default. Participants required: at least 10, amount we can guarantee: $2000
Success means having at least 2 business loans funded, get all the micro businesses scored at their individual attestations, get commitments from at least 10 participants, and their insights on why they chose to lend to that person over the others.
@sofi-verse can we work on this? I'll get those 10 real people to participate by mid August, however, meanwhile we can design the attestation visuals for each of the attestation categories found in Attestation Schemas
Hi @HBesso31! I'll work on these.
The research design should include the following sources of truth and methods:
[ ] Design workshop sessions,
[ ] Define a calendar for 2 workshop sessions,
[ ] Define expected outcomes of the workshop sessions,
[ ] Carry out the workshop sessions,
[ ] Gather data, generate insights, write a report of the workshop sessions.
[ ] Design a survey for scoring the attestations schemas that provide context through story telling while also show them visually,
[ ] Reach out to people in Twitter, Telegram, and the Arbitrum forum,
[ ] Gather data, generate insights, write a report of the survey.
[ ] Write an article describing the findings and reasoning behind the final scoring criteria,
[ ] Update the GitHub files containing each schema with their respective scoring criteria,
[ ] Report back to the team.