New members encounter a steep learning curve to understand where they fit and how they can add value and knowledge is not efficiently shared
AI mentor matching software - building trusted relationships within a large network through mentorship to onboard new members.
This is the total amount allocated to Automated mentor-matching tool
There are many opportunities and roles that exist within Catalyst. For someone newly joined, it’s a steep learning curve to get to a position where they are able to understand the ecosystem and how they can involve themselves in the various opportunities available.
What’s more, it is a rapidly changing and growing ecosystem with lots of opportunities and knowledge that is evolving and undocumented. Much of the valuable insights and nuances of how things work are gained through experience and held by people.
Mentorship is a proven tool for opening up specific and relevant pathways for individuals by providing access to knowledge and networks. OneUpOneDown (“OUOD”) is an AI-powered mentor matching platform to support individuals to access knowledge, networks and to transition into pathways that might have otherwise been inaccessible.
We propose developing a network matching pool to generate mentor-mentee matches between experienced and new members within Catalyst.
We will leverage OUOD’s existing matching process, which facilitates 3-month long matches and uses an automated matching model to create the best matches within a network.
Once we have an established pool of Catalyst mentors, this pool can be a source of knowledge and networks for new users or organizations who wish to create pathways into the catalyst community through the tool of mentorship
OUOD’s mentor-matching solution is designed to build trusted relationships, based on cross over between the mentors current skills, both personal and professional, and the mentees desired state. The matching logic is based on a concept called ‘near-peer mentorship’, which means the mentor is a couple of steps ahead of the mentee in a specific area of development. This means the learning gap is wide enough that the mentor can add value to the mentee, based on their experience, but not so wide that the experience is no longer present and relevant for the mentor. This create a value exchange that is valuable for both the mentee and the mentor.
Through effective and engaging mentor matches, new Catalyst members can receive the guidance they need to access the opportunities that are most relevant to them, gain confidence in their ability to participate in roles, take on more responsibility and deepen networks within the community.
This proposal covers the product development work required to build out the pool functionality and to run a Catalyst pilot mentor-matching program for three months.
Our solution will provide the following components:
OneUpOneDown's programme is designed so users can be matched on an ongoing basis. Once mentors and mentees finish their 3-month match, they can be matched again to provide ongoing support through mentorship. It supports the development of deep networks within a community.
Once we validate the suitability of our matching system within the CatalystEcosystem, we plan to build a mentorship DAO upon the Cardano blockchain, enabling the flow of tokens to reflect the value provided within the mentorship network.
The main risk is not getting enough mentors signed up to the programme. To mitigate this risk we will promote the benefits of being a mentor and recruit through Catalyst channels, groups and our networks. We also have the support of Catalyst School. OUOU's programme is designed to be manageable and enjoyable for mentors, which supports mentor recruitment efforts.
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%.
First month: Technical setup, and mentors and mentee onboarding
Second month: Matchmaking
Third month: Check-ins
Fourth month: Feedback and KPIs tracking
If the pilot project is successful we will continue to expand the pool and make matches, with the intention of developing a decentralised mentoring network on the Cardano blockchain. We intend to do this in collaboration with the proposers shared below.
Total budget requested: $10,000
Pilot programme for 4 months in total (development & rollout):
We will consider this pilot project successful if we can make a minimum of 20 successful matches to onboard new users within the catalyst. In addition to tracking the number matches made, we will track the following metrics to assess the success of the project:
Deploying a tool that is highly effective at onboarding new members to Catalyst using OUOD’s mentor-matching method.
If the pilot program proposed is successful, we intend to work collaboratively with existing projects to develop the underlying blockchain infrastructure to support a decentralized mentor-matching platform.
Entirely new proposal.
We have submitted another Fund 8proposal to fund the development of a white paper for
Mentorship Incentivization DAO:
A company that has already built and has in production an AI mentor matching software.OneUpOneDown has 650+ users from over 20 countries and has been making automated mentor matches for 12+ months.