Explore the latest developments in technology and data solutions in the humanitarian space.
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A practical guide to the theory of change for NGOs: how it differs from a logframe and results framework, and why tech's OKRs are the same idea.
A practical framework for AI adoption at nonprofits: from chatbot fluency to organizational context to autonomous workflows, with guidance on data protection, prompting, and building AI-ready culture.
Five steps to building an M&E framework that works in practice: theory of change, selecting indicators, designing data collection, reporting structures, and learning loops that feed findings back into decisions.
Why NGOs should build digital solutions iteratively: start with a functional skateboard, gather real-world feedback, and develop toward the right product rather than designing in a silo.
How to prioritize features in your NGO monitoring and evaluation system using the Desirability, Feasibility, and Viability framework. A practical guide to balancing user needs, technical capacity, and organizational strategy.
Four principles for practical digital development: integrating with existing systems, defining an MVP, choosing between technical solutions and procedures, and evaluating features with the DFV matrix.
Four foundational principles for building digital solutions for NGOs: designing with the user, defining system boundaries, establishing common data standards, and building with scale in mind.
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