Organizations have untapped value within their networks which can be realized with an effective mentorship program.
Use AI and blockchain technology to build trusted relationships within a large network through mentorship.
This is the total amount allocated to AI Mentor matching software
OneUpOneDown has a proven method for facilitating high-quality matches in a form that is scalable and builds trusted relationships.
OUOD’s mentor-matching solution solves the problem of being able to efficiently make matches within a network. Organisations can sign up and use the software by creating a matching pool for their organisation. Matches are then made within this pool, and can also be made between other aligning pools. For example a University-based pool may be connected with selected corporate or ecosystem pools (such as a Cardano or Catalyst pool). This allows cross mentoring to occur which is mutually beneficial for both groups.
OneUpOneDown is a tool for organisations to effectively leverage their internal network of people to support learning and growth across their organisation, and/or within their industry, through mentorship.
To solve the challenge of providing sufficient value to mentors so they remain engaged and are incentivised to provide the mentee with maximum value, we propose building a Mentorship DAO. This will be built upon the Cardano blockchain using existing protocols including ATALA Prism, SingularityNET and CNFT.IO.
Through the DAO, mentors will be incentivised with native tokens and NFTs, whereby mentors can gain credibility for delivering extraordinary mentorship experience.
While we work on developing the infrastructure to support the creation of the DAO, we will continue to improve our matching model, user experience and grow our revenue. We will do this by running paid matching pools for organisations. Revenue generated from organisations will support DAO token holder rewards.
This proposal is to support the development of OneUpOneDown for Organisations. Specifically, the requested budget covers the cost to recruit and onboard 2-3 organisations to run pilot projects.
Mentor matching logic: We have developed a successful matching algorithm for our target demographic and have a platform with over 650 users signed up as mentors, mentees or both. Users currently can log in, create a profile, manage their match preferences and accept/reject proposals. We have made over 200 mentor matches to date and our NPS score is over 80%.
One month: Outreach to organisations
Three month: Confirm two aligned organisations as partners and onboard key stakeholders within organisation
Six month: Onboard organisations and complete first round of matching
We aim to achieve the following goals over six months:
What does success looks like and KPIs:
We will consider this pilot project successful if we can onboard and deliver a OUOD mentoring programme for 2 paying organisations.
Key Performance Metrics
This proposal is not a continuation of a previously funded proposal.
We have submitted another Fund 8proposal to fund the development of a white paper for the
Mentorship Incentivization DAO:
A company that has already built an AI mentor matching software, with demonstrated users and pilot projects with organizations.