Peer-to-peer, realtime knowledge sharing
#SHAREKNOWLEDGE #WISDOMSEEKER #WISDOMGIVER
What Is Ovvio?
OVVIO is a peer-to-peer knowledge-sharing platform where “Knowledge Seekers” can get in touch with the right “Knowledge Giver” that has the right experience and wisdom to answer their questions. Givers have a direct channel to monetize their knowledge and wisdom just by sharing it with Seekers on peer-to-peer dynamics.
Inability to Share Valuable Knowledge
On one side people want to connect to Givers where information derived from learned experiences is difficult to access in a quick and efficient manner. On the other hand, Givers have a large amount of valuable learned knowledge and wisdom that they can’t monetize because they don’t have a channel to do so.
A Direct Channel to Share Knowledge
Ovvio is a peer-to-peer marketplace that allows real-time relevant knowledge and wisdom sharing. In Ovvio whenever someone has a question they will have an on-demand expert ready to reply.
Key Challenges We Faced on the Product and Tech Sides
Finding the Right Giver
The core value proposition for the seeker is based on Time and Efficacy, so it is fundamental that:
- NLP system makes the right query and has the correct taxonomy
- Match the seeker with the right giver to meet the efficacy
- This match must be quick to meet the time promised
- The match must be, not only fast but effortless to meet good UX product standards
Reducing Adoption Friction
By focusing on one or two areas of knowledge, the product is more likely to gain traction because it’s more likely to deliver a lot of value in specific matters. This will be perceived as overdelivering and it should promote organic growth.
Acquisition of Givers vs Seekers
Surveys show more interest from Givers than seekers, so we cannot make seekers wait. The initial approach is to first engage with seekers, then understand the expertises they need and then find givers.
Users can only create an account via Facebook + phone number to reduce fake accounts, this will reduce fraud both for giver and seeker:
- The Seeker might have an incentive to create fake accounts to get free minutes
- The Giver might have an incentive to create fake accounts to “reset” bad ratings for bad service
How We Did It
We focused on the business vision and created a comprehensive brief for the project by gathering all the research on the market, competitor benchmarks and any other necessary information. Then we met with the client in an immersive session to craft a value proposition and set the main assumptions to prove. Finally, we created the ultimate list of user stories and features necessary to prove those main assumptions within the MVP.
We started by creating the most important screens for the product. This allowed the client to see exactly how the product will look. After a few iterations on the UX/UI, the client approved the design.
All Screens UX/UI
Once the key screens have been approved, we extended the design to the remaining screens and delivered the full product UX/UI.
With the decisions closed in the previous steps, we went on developing the product through agile cycles.
Case Study PDF
Download the case study to read it later.
Matchmaking through an NLP and taxonomy system to understand the user’s main intent and secondary intent. Scoring all the available givers (by availability, expertise in query with an additional query on giver description text, overall rating and rating in the session about the main intent) and connecting the seeker with the right giver.
Video call feature with market trend functionalities and a “charging per second” system.
Matches between seekers and givers are a combination of a push and a pulling flow. In push flow, the seeker enters a waiting room where the giver can ask additional questions. In the pulling flow, the seeker asks a question to the community and givers can join the call if they have knowledge on the matter.
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