The Feedback Loop Nobody Closes: How to Build a Community Accountability Mechanism That Actually Works
Most humanitarian programs collect community feedback and then go silent. Here's how to build a real accountability mechanism that closes the loop, restores trust, and actually changes programming.
The Evaluation Question Nobody Asks: How to Write Questions That Actually Drive Useful Findings
Most evaluations collect plenty of data but answer the wrong questions. Here's how to write evaluation questions that genuinely guide your methods, focus your data, and satisfy your stakeholders.
Adaptive Management in Practice: How to Actually Change Course When Your Project Isn't Working
Adaptive management sounds great in theory, but what does it actually look like when a project is off track? Here's a practical guide to changing course with confidence and evidence.
Logframu Yako Inakudanganya: Jinsi ya Kufanya Mapitio ya Kati ya Mradi Ipasavyo Kabla Haijachelewa
Logframu nyingi zinakusanyiwa vumbi kwenye folda ya mradi, zikifunguliwa tena tu wakati mtathmini wa nje yupo nchini, na wakati huo nusu ya bajeti imekwisha tumika. Hapa ndipo tatizo kubwa linapoanza. Nakueleza jinsi ya kufanya mapitio ya kati ya mradi kwa njia inayoleta mabadiliko ya kweli, kabla haijachelewa.
The Donor Report Nobody Reads: How to Write Narrative Progress Reports That Actually Get Noticed
Most donor reports go unread because they list activities instead of telling stories. Here's how to write narrative progress reports that are credible, compelling, and actually build funder relationships.
Your Logframe Is Lying to You: How to Run a Proper Mid-Term Review Before It's Too Late
Most logframes are written for the donor and filed until the mid-term review. By then, the damage is done. Here's how to stress-test yours before it's too late.
The Theory of Change Trap: Why Most ToCs Look Good on Paper But Fall Apart in Practice
Most theories of change look compelling in a proposal but collapse under real-world pressure. Here's how to spot the common failure points and fix them before your program begins.
When Your Data Lies to You: How to Spot and Fix the Most Common Data Quality Problems in Field Surveys
Bad field data can quietly corrupt your entire analysis. Learn how to detect enumerator errors, fabricated responses, skip-logic failures, and interviewer bias with concrete checks that work in the real world.
Sampling Without a Statistics Degree: How to Choose the Right Sample Size for Your Field Survey
Confused about sample size, confidence levels, and margin of error? This guide demystifies the logic for non-statistician MEL practitioners working in real, messy field contexts.
From Paper to Phone: How Mobile Data Collection Transformed M&E (2015-2024)
Mobile data collection went from a promising experiment to an M&E standard in under a decade. Here's how adoption climbed, what drove it, and what teams learned along the way.
The Widening Gap: A Decade of Humanitarian Funding Shortfalls
Global humanitarian appeal requirements have tripled since 2014, but funding has stagnated. I walk through a decade of data and what MEL and program teams can do to design for tighter budgets.
Stop Collecting Data Nobody Uses: How to Design a Lean, Purposeful MEAL Plan
Is your MEAL plan a graveyard of indicators nobody acts on? Here's how to link every data point to a real decision or learning question — and finally collect less, better.