#MEL

AI-powered insights for MEL and project management professionals.

New MEL & PM guides by email. Unsubscribe anytime.

Project Management

Jinsi ya Kuandika Pendekezo Linaloopata Ufadhili wa Kweli

Kila mwaka, timu nyingi zenye vipaji vinazopoteza ufadhili, si kwa sababu mradi wao ulikuwa mbaya, bali kwa sababu pendekezo lao halikusimulia hadithi sahihi. Hapa ninakuonyesha jinsi ya kujenga pendekezo lenye nguvu, toka muhtasari hadi bajeti, ambalo litakushawishi mfadhili wako.

Vera6 min read
MEL Fundamentals

The Assumptions Column Nobody Fills In: How to Use Logframe Assumptions to Actually Manage Risk

Most logframe assumptions are empty boxes or wishful thinking. Here's how to write them well, test them during implementation, and use them as a real risk management tool.

Vera7 min read
Monitoring Evaluation

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.

Vera7 min read
Monitoring Evaluation

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.

Vera7 min read
Monitoring Evaluation

The PDM Trap: Why Post-Distribution Monitoring Is Broken (and How to Fix It)

Post-distribution monitoring should be a lifeline for accountability, but most PDMs are buried in silos, rushed, and never acted on. Here's what's broken and how to fix it.

Vera6 min read
Mel Practice

The Assumptions Column Nobody Fills In: How to Use Logframe Assumptions to Actually Manage Risk

The assumptions column is the most skipped part of any logframe, and the most consequential. Here's how to write, monitor, and act on assumptions before they sink your project.

Vera7 min read
Monitoring Evaluation Learning

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.

Vera7 min read
Monitoring Evaluation Learning

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.

Vera7 min read
Monitoring Evaluation Learning

La trampa de la Teoría de Cambio: por qué la mayoría luce bien en el papel pero se desmorona en la práctica

Ciertas debilidades estructurales están presentes en casi toda Teoría de Cambio desde el primer día, esperando en silencio. Aquí las nombro, explico por qué importan y comparto un protocolo para detectarlas antes de que el programa esté en marcha.

Vera8 min read
Project Management

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.

Vera6 min read
Surveys Data Collection

Kutoka Ukurasa Tupu hadi Msingi wa Tathmini: Jinsi Ninavyopanga Utafiti wa Msingi Unaoweza Kulinganishwa na Tathmini ya Mwisho

Utafiti wa msingi mzuri hauandikwi maswali kwanza na muundo wa uchambuzi mwishowe, ni kinyume chake. Hapa ndipo makosa mengi yanaanzia, na hapa ndipo ninavyoanza kuvisahihisha.

Vera7 min read
Qualitative Methods

Qualitative Coding Without the Chaos: How to Analyze FGD and KII Data in French

Drowning in FGD and KII transcripts? Here's how to code qualitative data systematically, in French, using tools you already have, without losing your mind.

Vera7 min read
Page 1 of 4