Indicator Targets Are Not Guesses: How to Set Realistic, Evidence-Based Targets That Hold Up to Scrutiny
Vague or wishful targets undermine your entire results framework. Here's how I help teams set indicator targets grounded in baselines, evidence, and logic, not optimism.
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.
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.
How to Build a Results Chain That Actually Works
Results chains are one of the most powerful tools in MEL, but most teams rush them. Here's how to build one properly, from situation analysis to assumptions and risks.