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 PDM Report That Changes Nothing: How to Turn Post-Distribution Monitoring Into Decisions, Not Just Data
Post-distribution monitoring generates valuable data, but too often it stays in a PDF. Here's how to design PDM cycles that feed real decisions, from tool design to action planning.
The PDM Trap: Why Post-Distribution Monitoring Is Broken (and How to Fix It)
PDM is one of humanitarian work's most important tools, and one of its most misused. Here's how to design post-distribution monitoring that actually drives decisions.
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.
FGD vs. KII: How to Choose the Right Qualitative Method (and Stop Wasting Field Time)
FGDs and KIIs are both qualitative workhorses, but picking the wrong one wastes budget and produces weak data. Here's how to choose deliberately, every time.
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.
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.
The Art of the After-Action Review: Turning Field Chaos into Organizational Learning
After-Action Reviews are one of the most powerful organizational learning tools available, but only when run well. Here's how to make yours generate insights that stick.
Indicators That Actually Measure Change: How to Move Beyond Activity Counting
Most programs track outputs, not outcomes. Here's how to design indicators that genuinely capture change at beneficiary level, with a concrete step-by-step method for MEL practitioners.
Closing a Project Without Losing the Learning: A Practical Guide to Handover and Knowledge Capture
Project close-out is when hard-won operational knowledge disappears. This guide shows a structured, lightweight process for capturing and transferring learning before your team disperses.
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.
From Blank Page to Baseline: How I Structure a Baseline Survey That Actually Informs Your Endline
Designing a baseline survey that truly supports endline comparison takes more than good questions. Here's the sequenced approach I use, from indicator alignment to sampling choices to the traps that sink most baselines.