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.
Outputs, Outcomes, and Impact: Why Getting Them Wrong Derails Your Whole Project
Confusing outputs, outcomes, and impact isn't just a semantic slip. It breaks logframes, misleads donors, and kills your ability to learn. Here's how to get it right, with real examples.
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.
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.
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.