We help development organizations turn evidence, data, and AI into practical workflows people can trust.
About us
DevelopMetrics works with governments, funders, NGOs, and implementers to make evidence easier to find, use, and act on. We combine evaluation expertise, data systems, and AI-assisted workflows to help teams move from scattered information to clearer decisions.
Research and credibility
Our work sits at the intersection of evidence, development practice, and responsible AI. These publications show how that approach is being tested, documented, and shared beyond DevelopMetrics.
Peer-reviewed research
Land Use Policy, 2025
A peer-reviewed article by Lindsey Moore and co-authors examining human-centered AI for agricultural policy work in international development.
Read the blogPublished field perspective
Stanford Social Innovation Review, 2025
An SSIR article showing how AI helped recover decades of USAID learning and make durable development lessons easier to use.
Read the blogWhy we exist
Development teams are surrounded by information, but turning that information into decisions is still slow and difficult. Reports live in different places, assumptions are not always visible, and teams often spend too much time searching before they can start learning. DevelopMetrics builds workflows that make evidence easier to navigate, question, and apply.
What we do
Organize reports, evaluations, datasets, and institutional knowledge into systems teams can actually use.
Use AI to help search, summarize, compare, and structure evidence while keeping sources, limitations, and human review visible.
Help organizations turn evidence into practical tools for reporting, strategy, program design, and adaptive learning.
How we work
Our process is designed to make the first step clear, practical, and low-risk.
We begin by understanding the decision, report, or workflow your team needs to improve.
Together, we choose a focused starting point with clear users, inputs, outputs, and review needs.
We create a first version, test it with real materials, and refine it with the people who will use it.
Once the workflow proves useful, we help extend it into a stronger system, product, or operating process.
Trustworthy AI
We design AI-assisted workflows for evidence work where transparency matters. Outputs should point back to sources, show assumptions and limitations, communicate uncertainty where possible, and keep people responsible for final judgment. For sensitive or high-stakes work, that means clear source rules, local context, review status, and human approval before outputs are used.
History
DevelopMetrics began with a focus on making development evidence and evaluation workflows more useful for real teams.
The AI conversation changed quickly, but the underlying challenge stayed the same: organizations still needed trustworthy ways to use information.
DevelopMetrics combines evaluation thinking, data systems, and AI-assisted workflows to help teams work faster without losing rigor.
Team
DevelopMetrics brings together experience in development economics, evaluation, data systems, policy, partnerships, and responsible AI.
Bring one practical workflow, report, evidence problem, or decision challenge. The first step is a conversation about where evidence can become more useful.
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