Archive
Project Manager Competency Framework for NGOs and Nonprofits
A practical framework for assessing and strengthening the technical, leadership, and development-sector competencies that successful project managers need.
Risk Register for Nonprofits and NGOs
Learn how to identify, prioritize, and manage project risks with this practical Risk Register guide and downloadable template for nonprofit and development teams.
The Logical Framework (Logframe)
Learn how to build a Logical Framework (Logframe) for nonprofit and development projects, with practical guidance, examples, and a downloadable template.
Five AI Skills Every Project Manager Should Build
AI is changing how development programs are delivered, but without the right skills, it can create risk as easily as value.
This guide outlines five practical competencies project managers need to use AI responsibly, effectively, and at scale.
Escaping AI Pilot Purgatory
A practical guide to designing AI pilots that deliver measurable outcomes, with clear metrics, ownership, and pathways to scale or stop.
Project Management Health Check
This free self-assessment helps nonprofits evaluate the health of their project management practices across six core areas. Use it to identify gaps, guide team discussion, and prioritize practical improvements.
Governance That Enables Trust and Speed: Practical Guardrails for AI Use in Projects
AI is entering everyday project work—but most teams lack clear guardrails.
This guide outlines five simple practices to use AI safely while protecting data, quality, and trust.
From Prompts to Workflows: Embedding AI in Project Delivery
This resource outlines practical ways project teams can integrate AI into planning, reporting, and learning cycles to improve delivery outcomes.
Know What AI Tools Can and Can’t Do: Discernment as a Project Manager Skill
This resource provides a practical four-tier taxonomy to help project managers match AI capabilities to real delivery needs, from drafting and summarization to agentic workflows. Learn four critical questions to ask before adopting any tool, avoid common mistakes, and run a simple diagnostic to assess your current AI use.
AI for Project Managers: From Experiments to Delivery
Many teams are trying AI, but few are seeing positive results. This resource shows what changed recently and five simple steps project managers can use to turn small trials into everyday, reliable delivery.