Start with a real decision
We begin with the policy choice, funding question, report, review process, or delivery workflow your team already needs to improve.
DevelopMetrics
Turn complex data into trusted evidence for smarter decisions
We help teams move from scattered information to usable outputs: clearer options, better reports, faster learning, and decisions that can be explained.
Connect the evidence behind it
Research, project records, monitoring data, cost information, local context, and evaluation logic are organized into one usable workflow.
Keep people in control
AI supports the work, but people still set the question, check the output, and decide what is ready to use.
Trusted by International Organizations
We partner with organizations worldwide that are trusted leaders in their fields.
DevelopMetrics overview
See how evidence becomes better decisions.
Discover how DevelopMetrics turns decades of program knowledge into transparent, decision-ready intelligence.
Why DevelopMetrics Exists
Built before the AI hype, for the evidence problem underneath it.
DevelopMetrics began with a practical question: how can institutions use what they already know fast enough for real policy, funding, delivery, and reporting choices?
Founder
Founder perspective 
Lindsey Moore
Former senior development economist and AI-policy researcher who built DevelopMetrics around the practical evidence problems institutions face before any tool is useful.
"The problem was not a lack of information. The problem was that institutions could not connect what they already knew to the decisions in front of them fast enough."
Positioning timeline
The work started before AI became the headline.
Early 2021
DevelopMetrics founded
DevelopMetrics began with a focus on making development evidence and evaluation workflows more useful for real teams.
November 2022
ChatGPT launches
The AI conversation changed quickly, but the underlying challenge stayed the same: organizations still needed trustworthy ways to use information.
Today
Practical AI for evidence work
DevelopMetrics combines evaluation thinking, data systems, and AI-assisted workflows to help teams work faster without losing rigor.
Decision-first
The starting point is the person who has to make or defend a funding, policy, delivery, or reporting decision.
Evidence-grounded
The work begins with the reports, records, indicators, cost data, and local knowledge institutions already hold.
Workflow-ready
The goal is not generic analysis. It is a usable process for the outputs, approvals, and teams that have to move.
The Problem
Most teams have the evidence. They do not have it where decisions happen.
Social-sector organizations work across reports, indicators, project files, maps, field inputs, cost records, and institutional memory. The challenge is turning that knowledge into timely decisions, credible reporting, and practical learning without losing context or accountability.
Fragmented inputs
- Reports
- Project records
- Field inputs
- Cost data
- Local knowledge
- Maps
- Indicators
- Institutional memory
Connect into
Connected into workflows
- Funding
- Policy
- Delivery
- Learning
- Reporting
- Impact assurance
Scattered knowledge
Evidence is fragmented
Research, monitoring data, project records, local knowledge, and cost information rarely sit in one usable frame.
Scattered knowledge
Context gets lost
Judgments, caveats, and lessons often stay in old files or with the people closest to the work.
Scattered knowledge
Decisions still need to move
Teams still need policy notes, donor reports, field guidance, and portfolio choices that can stand up to review.
AidInsight
What DevelopMetrics helps teams build.
AidInsight is the product layer behind many DevelopMetrics workflows. It turns documents, data, and context into structured workspaces for comparison, drafting, reporting, and review.
A practical workspace for evidence-heavy decisions.
Source map
Organized evidence
Structure research, records, indicators, costs, risks, and local context around the decision in front of the team.
Decision comparison
Clear comparisons
Compare options, evidence fit, expected outcomes, costs, tradeoffs, and uncertainty in a shared working view.
Review state
Reviewable outputs
Produce briefs, reports, recommendations, and advisory products in a form teams can check, revise, and approve.
AidInsight in practice
- Workspace view
- Comparison logic
- Draft output
Practical Starting Points
Choose the decision your team needs to support.
Start with a real piece of work. DevelopMetrics connects evidence, assumptions, review steps, and outputs around the decisions your team already makes.
Workflow 01 / Funding
Funding comparison
Bring costs, assumptions, expected outcomes, contextual fit, and uncertainty into one transparent comparison.
InputsDocuments, data, context, assumptions, and review criteria
Decision-ready outputStructured evidence, review notes, and a usable output for the team
Designed forProgram teams, decision-makers, reviewers, and technical leads
Funding workflow
Funding comparisonCriteria123
Source supportMedHighMed
Evidence strength [3]MedHighLow
Feasibility [7]HighHighMed
Review readinessMedHighEmerging
From First Workflow to Repeatable System
Start focused. Build a system your team can reuse.
Launch around one real decision, test it with reviewers, and turn what works into a repeatable evidence process across teams and programs.
01
01 · Launch
Build around one real decision
Connect the documents, data, assumptions, rules, and reviewers needed for a single high-value workflow.
Funding comparison configured
02
02 · Test
Review the evidence and output
Run the workflow with a live case and let experts inspect citations, reasoning, uncertainty, and missing evidence.
Expert review in progress
03
03 · Standardize
Capture what good review looks like
Save templates, evidence requirements, approval rules, and quality checks so the process can be repeated consistently.
Review standard approved
04
04 · Expand
Reuse the system across teams
Apply the same evidence structure to new programs, regions, decisions, and reporting requirements.
Ready for portfolio rollout
Outcome
One workflow becomes a reusable evidence system.
Your team keeps the review rules, source connections, templates, and institutional knowledge created during the first implementation.
Our Work
Evidence systems in real operating environments.
Selected projects show how DevelopMetrics supports policy, health, food security, operations, and claims workflows where evidence and context have to move together.
FCDO / Sri Lanka
Trilingual AI for economic policymaking
Helping public-sector teams bring source-linked research into policy notes and strategy work in Sinhala, Tamil, and English.
Outcome: Reviewable policy workflows grounded in multilingual source evidence.
Economic policyTrilingualSource records
Read more 
GOAL / Ethiopia
Shock-responsive health systems planning
Helping health-system actors anticipate drought impacts on maternal and child health, service access, and facility readiness.
Outcome: Earlier planning signals for health continuity under drought stress.
Health systemsDroughtPlanning
Read more 
FEWS NET
Real-time food security early warning
Turning fragmented food-security, livelihood, and operational signals into earlier warning intelligence.
Outcome: Faster interpretation of dispersed evidence into operational warning outputs.
Food securityEarly warningOperational
Read more 
IOM Philippines
Land tenure and claims adjudication
Connecting programme records and registry data so teams can review land claims more consistently.
Outcome: Clearer claim-review history with supporting records kept visible.
Claims reviewRegistry dataConsistency
Read more Trust Model
Responsible AI, built for evidence work.
DevelopMetrics designs AI-assisted workflows so evidence can be checked, judgment stays with people, and outputs remain fit for review.
Review control 01
Sources visible
Supporting documents, records, and data stay close to the output.
Review control 02
Assumptions clear
Criteria, choices, and interpretation rules are stated plainly.
Review control 03
Limitations stated
Uncertainty, gaps, and constraints are named before use.
Review control 04
Human review built in
People check, revise, and approve before outputs travel further.
Start Here
Start the conversation.
Begin with one practical evidence workflow and see how DevelopMetrics can help your team make information easier to find, understand, and apply.
Cookies
We use cookies to enhance your browsing experience on our website. By continuing to use our site, you consent to our use of cookies. For more information, please review our Privacy Policy.