Federal agencies are expected to demonstrate, in clear and current terms, how effectively taxpayer dollars are being used. Oversight bodies, Congress and the public increasingly demand real-time evidence, not after-the-fact reports that reveal issues long after programs have progressed.
Real-time evaluation powered by AI-driven analytics, formative evaluation and rapid-cycle evaluation (RCE) provides agencies with tools to continuously monitor performance, identify risks earlier and showcase value through current insights. This article describes the policy landscape shaping these expectations, the accountability gap that real-time evaluation can help close and practical steps federal leaders can take to improve oversight.
Federal policy has progressively shifted toward continual, data-driven accountability. Several mandates highlight this change:
The Foundations for Evidence-Based Policymaking Act requires agencies to:
The Act’s creation of Evaluation Officers and Chief Data Officers reinforces the move from periodic assessments to continuous analytical capability.
Recent executive orders emphasize the public’s right to understand how federal funds are allocated and how effectively programs produce results. These directives highlight the need for tools that offer timely, actionable insights and enable early detection of inefficiencies, not just backward-looking explanations.
Additional directives emphasize the need for stronger performance metrics and updated systems that enable real-time monitoring. In this environment, formative and rapid-cycle evaluation become vital tools that help agencies stay aligned with their mission goals, adapt swiftly and demonstrate responsible stewardship.
Even with clear policy guidance, agencies often struggle to achieve real-time visibility. These difficulties are not due to a lack of effort but are natural in large, complex systems. Major factors contributing to the accountability gap include:
These challenges show the need for systems that can surface signals earlier and provide decision-makers with continuous feedback.
Real-time evaluation offers a structured method to continuously monitor performance, learn as programs progress and act promptly. When combined with AI, these approaches develop a strong oversight ability.
Formative Evaluation: Learning Throughout Implementation
Formative Evaluation: Learning Throughout Implementation
This approach integrates ongoing feedback into daily operations. It helps teams:
Rapid-Cycle Evaluation (RCE)
Rapid-Cycle Evaluation (RCE)
RCE employs short cycles, often lasting weeks, to test new approaches, analyze results quickly and scale only what proves effective. It minimizes risk, accelerates learning and ensures changes are supported by evidence.
AI as an Accelerator
AI as an Accelerator
AI tools enhance evaluation by:
AI doesn’t replace human evaluators; it equips them with faster, clearer insights.
Aptive assists agencies in modernizing oversight by incorporating evaluation, analytics and user-centered design into real-time systems. Key capabilities include:
Aptive integrates financial, operational and beneficiary data into dashboards that:
Using insights from formative and RCEs, Aptive helps agencies:
Aptive applies AI models to detect:
To build real-time accountability, agencies can:
Each step helps shift oversight from retrospective reporting to continuous learning.
Real-time evaluation marks a fundamental shift in how agencies oversee and demonstrate results. By integrating ongoing assessment with modern data systems, agencies can strengthen program integrity, lower risk and build public trust through clear, timely evidence. Aptive supports agencies in making this transition by offering the frameworks, technology and expertise needed to embed continuous accountability into daily operations.
About the Author
Jon Scaccia, Ph.D., is a data analytics and implementation science expert at Aptive, supporting a wide range of public health initiatives. He earned his doctorate in clinical-community psychology from the University of South Carolina. As a community psychologist and evaluator with more than two decades of experience, Dr. Scaccia advances public health through innovative research and technology solutions. He is the founder of PubTrawlr and “This Week in Public Health.” He stays active in the field through research, mentorship, publishing and speaking engagements.
