Table of Contents
👇🏽 What is this about?
The second half of the Rewards process begins after data has been exported from Praise and SourceCred.
In short, what need to happen is:
- Calculate token allocations
- Distribute token rewards
- Analyse the praise period data for insights, transparency, treaceability
The general idea is to manage this "second half" of the rewards system process all in one Jupyter notebook. That means:
- Bring the quantified praise data and SC data into the notebook as CSV
- Make manual adjustments with comments (there seems to be a plugin allowing editing of CSV data)
- Calculate the token rewards in a nice looking sheet with explanations, formulas and visualisations. This is where the TEC distribution algorithm lives.
- Additional analysis and statistics on separate sheet along with a short quantification text report by the Rewards Committee.
This whole package of notebook, data and edits would live on github and made accessible through https://mybinder.org or similar service.
And important: each new quantification period a copy of the notebook is made and put in a fresh folder on the repository, allowing you to move back in time and check on older quantifications.
✨ What does success look like?
- [ ] GitHub repo setup and organised