Decoding Injustice: Shedding new light on how economic policies harm people’s human rights
This article provides a powerful way to use research to advance a range of economic, environmental, and social issues.
Tag
Data
Data for Social Good: Non-Profit Sector Data Projects
Practical guidance for non-profits and community sector organisations about how to get started with data analytics projects.
Developing Data Capability in Your Not-for-Profit
Walk through the six types of data that not-for-profit organisations most often work with and what you can actually do with that data.
Data Projects from Go to Whoa!
Get things rolling and ensure your not for profit data projects are as successful and sustainable as they can be with this 15 step pathway.
Guide to publicly available data sources
Through research you can get to know your issues in depth, find out where people stand on those issues, and make a strong evidence-based case for change. Use these Australian publicly available data sources to strengthen and inform your research.
Citizen Generated Data: Toolkits and Guides
Useful guides from CIVICUS to learn how to gather information and data for a campaign using surveys, focus groups and interviews.
How to do research
Research plays a crucial role in social change projects. Here’s a collection of useful guides to research from Skills You Need, including how to design research projects, gather data and analyse data.
Data Security Protocols
Need to keep the data safe for your research project? Here is a useful data security protocol from the Datacenter for Research Justice.
Three open source tech tools for your campaigning
The right tech tools can make a huge difference to the effectiveness of a campaign or organising project. Check out Tijuana (campaign CRM), Neighbourly (doorknocking walk-list tool) and Spoke (p2p text tool).
How to Draft A/B Testing for Sendouts
A/B testing involves testing campaign communications online with your supporters. Most of the guide focuses on testing email communications, but you can also test web page formats and social media responses.
Beyond Vanity Metrics: Toward better measurement of member engagement
Metrics should help you improve how you invest in and plan campaigns. But while “vanity metrics” such as list size or pageviews sound big and impressive, they can be misleading. This report offers new approaches to measuring member engagement.
The Anatomy of People-Powered Campaigns
The four ingredients Greenpeace campaigners use to build successful people-powered campaigns, straight from the folks at MobLab.
Building 21st Century Movements
Taren Stinebrickner-Kauffman, Founder and former Executive Director of SumofUs, at Progress 2015 with a series of movement case studies challenging us to be technological innovators and to bring our social change work to the cutting edge of the current century.
Three examples of visualisations for campaigns
Examples from the UK, Europe and Australia of how maps have been used to effectively communicate complex data in campaigns.
Structured Query Language (SQL) Cheat-Sheet
SQL can seem daunting for a non-techie, but it doesn’t have to be. Whether you’re just setting up your first database, or learning the ropes of a well-established data set, this is a useful sheet of basics to print out and keep above your monitor for those times you feel stuck.
Do banner images in emails improve click rates?
Methodology and results of an experiment run by GetUp on the effect of banner images on email click rates.
Do GIFs improve emails?
Methodology and results of an experiment run by GetUp on the use of Gifs in emails.
Does allowing a petition to be signed with Facebook increase actions?
Methodology and results of an experiment run by GetUp on the use of a ‘Sign By Facebook’ option for petition signers.
Does changing font sizes impact email performance?
Methodology and results of an experiment run by GetUp on the effect of font size on email performance.
Using “list quality” to improve the accuracy of your A/B testing
Methodology and results of GetUp’s use of ‘list quality’ to improve testing and predictions.