A Novel Implementation of Conversion Rate Metric Model in CHAOSS Software

The CHAOSS community develops metrics, practices, and software for measuring open source software community health and sustainability. Augur and Grimoirelab are two powerful open source community health analytics projects supporting the CHAOSS mission. In particular, each has implementation of select metrics based on an expanding set of implementation-agnostic metric definitions associated with various focus areas. The CHAOSS Metrics Model Working group defines metric models, which integrate multiple CHAOSS metrics in a way that makes it easy for end users such as community managers to get a more comprehensive measure of an open source community. Currently, Conversion Rate can be defined as a metric or metric model. It measures the rates at which new contributors to an open source project move through the "contributor funnel" toward sustained contribution and/or community maintainership. There is no implementation of the Conversion Rate metric or metric model in CHAOSS software yet. This project aims to build a novel implementation of Conversion Rate as a metric model that is based on a minimum number of atomic metrics and has maximum reuse of existing implemented metrics as well as common metric model calculation code supporting all types of conversion rates. A simple config file based UI for entering parameters and filters by the users is all it takes to run the metric model. New metrics will be implemented first in Jupyter Notebook as reference code and can later migrate into Grimoirelab backend (for sharing with future new metric models or reports) along with data collection and enrichment extensions. The Metric Model calculation code and methods, and a common visualization interface will be also implemented in Jupyter Notebook, followed by a deployment with OpenSearch Dashboards visualization.