INTERNATIONAL DEVELOPMENT
Turn development data into evidence, learning, and stronger program performance.
XL helps governments, donors, implementers, and development partners strengthen the systems that connect program delivery, monitoring, evidence, learning, and improvement. We combine MERL, digital systems, analytics, data quality, AI, and performance improvement to help teams understand what is working, identify where change is needed, and adapt with greater confidence.
THE CHALLENGE
Development programs often collect extensive data without turning it into timely learning and better decisions.
Development programs often collect extensive data without turning it into timely learning and better decisions.
Fragmented Program & Partner Data
Information may be spread across implementing partners, field teams, spreadsheets, digital platforms, surveys, and donor reporting systems, making it difficult to build a complete view of performance.
Complex Reporting & Indicator Requirements
Programs often manage multiple indicator frameworks, donor requirements, reporting calendars, definitions, and verification expectations that can increase burden and reduce consistency.
Limited Evidence for Timely Decisions
Monitoring may describe what happened without providing enough context, analysis, or insight to explain why results differ across locations, populations, or interventions.
Weak Learning-to-Action Loops
Evaluations, assessments, and learning products can remain disconnected from program management, corrective action, adaptation, and resource allocation.
The challenge is not simply producing more reports: it is creating an evidence system where data, analysis, learning, and management decisions are connected.
What We Help Clients Do
Build stronger evidence systems that connect program delivery, learning, and adaptation.
XL helps governments, donors, implementers, and development partners strengthen the systems and management routines that connect monitoring, data quality, analysis, learning, accountability, and program improvement.
Strengthen MERL & Performance Monitoring
Design and improve theories of change, results frameworks, indicators, monitoring plans, reporting systems, learning agendas, and performance-review processes.
Improve Data Quality & Evidence Reliability
Strengthen data standards, validation, verification, DQA, partner reporting, documentation, and corrective-action follow-up so evidence is more consistent and trustworthy.
Turn Program Data Into Insight
Build dashboards, geographic analysis, scorecards, portfolio views, trend analysis, and decision-support products that help teams understand performance, variation, risk, and emerging priorities.
Connect Learning to Adaptation
Link evaluations, assessments, pause-and-reflect sessions, after-action reviews, root-cause analysis, and learning products to management decisions, corrective actions, and program adaptation.
Our focus: helping development programs move beyond reporting toward a stronger evidence-and-learning system where information is trusted, interpreted, and used to improve implementation.
CORE SERVICES
Integrated capabilities for stronger evidence, adaptive management, and program performance.
XL helps governments, donors, implementers, and development partners strengthen the full evidence-to-action cycle—from monitoring and data quality to analytics, evaluation, learning, AI, and performance improvement.
MERL Systems & Performance Monitoring
Design and strengthen theories of change, results frameworks, indicators, monitoring plans, learning agendas, reporting systems, and performance-review processes.
Data Quality, DQA & Verification
Improve partner reporting, validation, verification, documentation, data quality assessments, corrective actions, and confidence in development-program data.
Analytics, Dashboards & Decision Support
Build dashboards, geographic analysis, portfolio views, scorecards, trend analysis, forecasting, and decision-support products that make performance and risk easier to understand.
Evaluation, Research & Learning
Conduct and support evaluations, assessments, implementation research, learning reviews, after-action reviews, evidence synthesis, and learning products that explain what is working and why.
AI & Intelligent Automation
Apply responsible AI and automation to streamline reporting, process program information, identify anomalies, summarize evidence, support analysis, and reduce repetitive administrative work.
Adaptive Management & Performance Improvement
Connect evidence to root-cause analysis, corrective action, pause-and-reflect, CQI, program adaptation, resource prioritization, and sustained performance improvement.
Our focus: helping development programs generate evidence that is credible, useful, timely, and directly connected to learning, adaptation, and improved results.
OUR APPROACH
Start with program reality. Build stronger evidence. Use learning to improve performance.
XL uses a practical, evidence-to-action approach that connects implementation, monitoring, analysis, learning, and adaptation. We work from the realities of programs, partners, communities, donors, and reporting environments so evidence is not only produced, but routinely used to improve decisions and results.
01
Understand the Program & Context
Assess program goals, theories of change, stakeholders, implementation structures, reporting requirements, data sources, partner roles, risks, and operating constraints.
02
Strengthen Evidence Foundations
Improve indicators, data standards, monitoring systems, partner reporting, validation, DQA, documentation, and the structures needed for credible evidence.
03
Analyze Performance & Generate Insight
Combine quantitative and qualitative information, dashboards, geographic analysis, trends, evaluations, and research to explain performance, variation, risk, and emerging priorities.
04
Learn, Reflect & Adapt
Use pause-and-reflect sessions, after-action reviews, learning agendas, root-cause analysis, evidence synthesis, and management reviews to translate findings into decisions and adaptation.
05
Institutionalize Improvement & Ownership
Embed corrective-action tracking, performance reviews, adaptive management, coaching, capacity strengthening, and ownership so learning and improvement continue beyond the engagement.
Our principle: development evidence creates value when it is credible, timely, interpreted in context, and connected directly to management decisions and adaptation.
TYPICAL OUTCOMES
Better evidence. Faster learning. Stronger adaptation. More credible results.
XL’s international development work is designed to help programs strengthen how evidence is generated, interpreted, shared, and used—so teams can improve implementation, respond to changing conditions, and demonstrate results with greater confidence.
01
More Trusted Program Evidence
Stronger indicators, validation, DQA, partner reporting, and verification improve the reliability, consistency, and credibility of program data.
02
Stronger Performance Visibility
Dashboards, portfolio views, geographic analysis, trend analysis, and performance reviews make implementation gaps, variation, risks, and priorities easier to identify.
03
Faster Learning & Adaptation
Learning agendas, evaluations, pause-and-reflect sessions, after-action reviews, and evidence synthesis help teams understand what is working and adapt sooner.
04
More Sustainable Program Improvement
Corrective-action tracking, adaptive management, coaching, capacity strengthening, and local ownership help improvements continue beyond individual projects or reporting cycles.
The goal is not simply stronger reporting, it is a development-management environment where credible evidence leads to learning, adaptation, accountability, and better results.
RELATED SOLUTIONS
Stronger development results come from connecting governance, systems, analytics, AI, evidence, and improvement.
XL brings together complementary capabilities that help governments, donors, implementers, and development partners strengthen the full evidence-to-action cycle—from how information is governed and collected to how it is analyzed, learned from, and used to improve performance.
Strengthen data ownership, standards, stewardship, quality, privacy, security, and governance across development programs and portfolios.
Improve digital platforms, partner reporting systems, interoperability, data exchange, and field-to-management information flows.
Analytics & Decision Intelligence
Use dashboards, geographic analysis, portfolio views, forecasting, and decision-support tools to understand performance, variation, risks, and priorities.
Apply responsible AI and automation to process program information, streamline reporting, summarize evidence, identify anomalies, and support analysis with human oversight.
Strengthen monitoring, evaluation, research, learning, reporting, and evidence-use systems that support accountability and adaptive management.
Connect evidence to root-cause analysis, corrective action, adaptive management, CQI, follow-through, and sustained program improvement.
STRENGTHEN DEVELOPMENT PERFORMANCE
Turn evidence into learning, adaptation, and stronger development results.
XL helps governments, donors, implementers, and development partners strengthen MERL, data quality, digital systems, analytics, AI, and performance improvement so teams can understand results, adapt faster, and sustain stronger programs.