GithubHelp home page GithubHelp logo

Comments (9)

zee-moz avatar zee-moz commented on July 29, 2024

@acabunoc can you summarize the process and specs for this data analysis project so I can work on getting dev time from Alan?

from 2018-global-sprint-planning.

zee-moz avatar zee-moz commented on July 29, 2024

@alanmoo here are the metrics and the plan

from 2018-global-sprint-planning.

abbycabs avatar abbycabs commented on July 29, 2024

data collected from last year: https://github.com/mozilla/global-sprint/tree/2017/_data/activity

from 2018-global-sprint-planning.

abbycabs avatar abbycabs commented on July 29, 2024

https://medium.com/read-write-participate/mozsprint-by-the-github-numbers-49d518551725

from 2018-global-sprint-planning.

abbycabs avatar abbycabs commented on July 29, 2024

Endpoint used: https://developer.github.com/v3/activity/events/

from 2018-global-sprint-planning.

Saallen avatar Saallen commented on July 29, 2024

First draft -Goals for event

External --To faciliate connections, collaborations and the growth of open source projects and contributions.
Internal -- Opportunity for leadership development for many project leads who take their project from ideation stage to public contribution, or from local community project to global contributions. Also great potential for experienced mentors to support the delivery and the growth of a small group of project and their leads as the develope along their open sourse and leadership path

from 2018-global-sprint-planning.

zee-moz avatar zee-moz commented on July 29, 2024

@Saallen thanks, these are great! Can you also respond to the Project/Participation numbers and the Contributor Growth Metric listed in the issue? Feedback on these is pressing as we're designing data collection around them. Thanks! 😺

from 2018-global-sprint-planning.

Saallen avatar Saallen commented on July 29, 2024

Hello
** Project Activity Metric: increased and sustained activity on all projects**
1 week before the sprint- why do we need to measure here? as surely everyone will just be prepping their projects??Can you share the base line here from 2017?

Can you expand what you mean in the second goal by events?

from 2018-global-sprint-planning.

zee-moz avatar zee-moz commented on July 29, 2024

@Saallen events are things people do on GitHub to meaningfully contribute:

    1. Issues opened or closed
    1. Pull requests opened, closed, or reopened

As for the 1 week timeline-- some projects in 2018 may be new and not have 2017 activity/history.
If you are talking about 2017 baseline activity on 2017 projects from Sprint (?) I think that data can't be retroactively collected, you have to collect it at the time... @acabunoc will know more.

This 1-week collection period should be past our featured project deadlines, so most project prep should be done. We can also separate out activity by leads vs. contributors, to screen out activity that's just prep if we're concerned about that noise (though I know that Steph would argue that any Sprint-related project activity is a plus). @acabunoc what do you think?

from 2018-global-sprint-planning.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.