In-app QA process

Limitation addressed: It is unclear to Koi users what data are verified in a model and what data are autogenerated. If they modify data it is up to them to remember what they changed and communicate it. If they are more comfortable working in a spreadsheet, they have no way of doing so.

Develop tooling for Koi studio users to understand and manage the QA status of their model. Data should be appropriately tagged at the parameter level for communications of model quality and verified/unverified information.

QA tooling to include streamlined “high-level” model refinement options as well as deep refinement using an exported Review.xlsx file that can then be reingested from an updated Google Sheet.