Why do we spend so much time and money on gathering data we never use? Why can't we always find the data we need to make good decisions? Christina Synowiec from Results for Development talks about Getting Rigor Right, and article she co-authored on deciding how rigorous data needs to be based on the decision you are trying to make. Sometimes you need quick, indicative data. Sometimes you need people's voices. (Often you need both). You always need data, but only sometimes do you need the most rigorous data to make a good decision.
Design For Everyone, Not for Experts
Square Pegs and Round Holes: Fitting research to community needs
Hurry Up and Wait: How Working With Young People in VSLA Changes the Pace of Programming
Exciting Times: Creating Urban Savings Groups With No Experience
Mobility, Instability, and Crisis: Creating Savings Groups in Emergencies
Embracing Imperfection: Rapid Gender Analysis and Knowing You Don't Have All the Answers
Soyez Courageux et Realiste: Le lecons pour la creation des projets qui marche
Be Bold and Realistic: Creating space for project plans that will work
(English Version) Tell Yourself You Don't Know Everything: Lessons Learned and Near Misses from 25+ years of VSLA
Tell Yourself You Don't Know Everything: Near Misses and Lessons Learned from 25+ Years of VSLA
Communities Creating Plan B: How Sanitation Approaches Failed in Benin, and Communities Found a Solution
Three Months to Turn Things Around: When Innovation Becomes Necessity
The Learning From Failure Report: A Systemic Look at What Goes Wrong
Making People Suffer: The Perils of Partnership and Budget Delays
It's All About Backup: When Experimental Systems Go Wrong
The Art of Humility: Accepting Reality and Learning From Failure
9 Ways Not To Build a House: Trying to provide dignified shelter in Ugandan Refugee Camps
Notes from the cutting edge: How work with youth highlighted gaps in implementation
Implementation is Not Enough: Applying Lessons from Agriculture Practices that Farmers Won't Use
Digital Projects and the Danger of Expertise
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