The Logic Model Architecture Most Nonprofits Get Wrong

Most logic models end up in a folder after grant approval — never tested, never updated. This masterclass teaches you how to build a logic model that actually works: connected to clean data, tested against real participant outcomes, and ready for AI-powered analysis. ──────────────────────────────── ⏱ CHAPTERS ──────────────────────────────── 0:00 Is Your Logic Model Gathering Dust? 0:22 What Is a Logic Model — The 5-Stage Causal Chain 1:03 Stage 1: Inputs — Track Cost Per Outcome, Not Per Participant 1:50 Stage 2: Activities — Map Every Activity to a Measurable Outcome 2:31 Stage 3: Outputs vs Outcomes — The Critical Distinction 3:41 Stage 4: Qualitative Evidence — Stories Are Outcomes Too 4:20 Stage 5: Impact + Assumptions — The Hidden Architecture 5:16 Sopact's 3-Layer Architecture 6:02 Recap — The 5 Things You Now Know 6:28 Subscribe + Book a Demo ──────────────────────────────── 📚 WHAT YOU'LL LEARN ──────────────────────────────── → The 5 logic model components and what most orgs get wrong in each → Why "We trained 500 people" is an output — not proof of change → How to track cost per outcome (not just cost per participant) → Why persistent unique IDs are the architecture behind real outcome evidence → How to make your assumptions explicit — and catch failures in month 2, not month 18 → How Sopact Sense connects your logic model to continuous, AI-powered analysis ──────────────────────────────── 🔗 RESOURCES ──────────────────────────────── 📄 Full Logic Model Guide → https://www.sopact.com/use-case/logic-model 🗓 Book a Demo → https://www.sopact.com/request-demo ▶ Full Playlist → [PLAYLIST LINK] ──────────────────────────────── 📌 SERIES — COMING NEXT ──────────────────────────────── → Qualitative & Quantitative Causality → Building a Full Impact Report ──────────────────────────────── 🔔 SUBSCRIBE + BOOKMARK ──────────────────────────────── Subscribe and bookmark this playlist — the next videos build directly on what's in this one. ──────────────────────────────── 👤 ABOUT THE HOST ──────────────────────────────── Unmesh Sheth — Founder & CEO of Sopact. 35 years in data systems and AI. Built Sopact to solve the exact logic model fragmentation problem described in this video. #logicmodel #programevaluation #impactmeasurement #monitoringandevaluation #nonprofitdata #Sopact #theoryofchange #outputsvsoutcomes #datacollection #AIimpact This video explains how to build a functional logic model that is connected to data and continually tested. It highlights the importance of explicit, testable assumptions supported by quantitative and qualitative data, which are crucial for effective program evaluation and impact measurement. The presenter emphasizes that a robust logic model serves as a living hypothesis for program change, driving better data collection and data analysis for demonstrating impact to funders.