—Notes—Savvy KB
Knowledge Bank and the Reinforcement engine are two modules of Buddhi.
Knowledge bank allows the user to capture, curate, build and reinforce readings and learnings gathered across various platforms.It aims to be an intelligent curated digital library, as well as a tool that helps the user to increase their knowledge and understand their learning patterns. The vision is to help users cultivate their own interests, take ownership and lead how they want to shape their minds.
The collected unique events will be organized as threads and buckets that enables users to create affinity mapping and prioritize their thoughts and learnings. The collected interactions and data will be consumed through reinforcement engine to analyze, debug and strategize their learnings towards desired outcome. Our users will have an option to reinforce these learnings as periodic
How will Knowledge Bank (version 1.0) Work:
Capture and Curate:
The user will set up buckets that they want to fill up and push the captured incident and remark
Capturing the incident and remark:
On the desktop and mobile anything that is highlighted (that we usually do to copy and paste) will have the option to push in the user’s bucket
Users can also add their thoughts not attached to any triggering event, but just notes, thoughts and emotions
Once the highlight is captured the user will add remark, or thoughts and comments related to it and tag it to their desired bucket
This will go to the user’s daily feed. The user can edit, delete or modify the thoughts and reactions as well as add it to the reinforcement routine
Reinforcement:
The user can decide what amongst those captured data will be pushed back (time and medium) [we are still brainstorming on this to avoid this being a reminder or just a push notification]
This will be thread of captured data —> Just like a Reddit thread on some articles; this is going to be a specific Bucket thread
Reinforcement engine will continue to evolve as we continue to understand user behavior and user interaction
Analytics:
Various Analytics on the sources, activity, growth, trends, improvements, suggestions
There will be a weekly and monthly summary on various activities —> sources of knowledge; collected data trends
The user will be able to see analytics on their curated information
Users can also opt in curate articles and bucket suggestions based on their interest
Reports:
The user will be getting analytics reports on their curated thoughts and sources on a weekly, monthly, quarterly and a yearly basis
The collected unique events, emotions, and input will be organized as threads that enables users to create affinity mapping and prioritize their thoughts and learnings. The collected interactions and data will be consumed through reinforcement engine to analyze, debug and strategize their learnings towards desired outcome. Our users will have an option to reinforce these learnings as periodic (Why is this sounding more like a diary then a learning bank)