Carter Farmer has a simple but provocative question at the heart of the Environmental Protection Agency’s push for 2025: what if mission outcomes, not processes, were the metric that determined success and efficiency?
Carter Farmer: outcomes-driven models and EPA efficiency
Behind the question is a practical dilemma facing many federal agencies: maintain traditional compliance and reporting systems or reorient programs around measurable end results that users — communities, regulated entities, and policymakers — actually experience. Carter Farmer, chief information officer of the Environmental Protection Agency (EPA), has been advocating for the latter, arguing that an outcomes-driven approach can streamline operations, sharpen investment decisions, and make the agency’s impact more visible to Congress and the public.
Background: why outcomes matter now
Federal executives entered 2025 under heightened pressure to demonstrate efficiency. Tight budgets, intensified oversight from the Office of Management and Budget (OMB), and congressional demands for measurable impact have combined to make “efficiency” more than a cost-saving slogan; it is now a central performance metric. At the same time, technology modernization initiatives — cloud adoption, shared services, and data modernization — have created new opportunities for agencies to measure and manage outcomes rather than inputs.
For the EPA specifically, outcomes are multidimensional: improved air and water quality, reduced hazardous exposures, faster permit processing, and more effective enforcement. Translating those public-health and environmental gains into operational priorities requires data systems that connect front-line activities to tangible community benefits.
Current situation: what the EPA is doing
Under Farmer’s guidance, the EPA is piloting outcomes-driven frameworks that emphasize:
- Defining clear, measurable endpoints for programs (for example, reductions in pollutant concentrations or decreases in permit backlog time).
- Aligning IT investments and modernization projects to those endpoints rather than to legacy compliance checklists.
- Using dashboards and shared metrics so leaders, program managers, and external stakeholders can see progress in near real time.
- Adopting iterative, user-centered design practices to ensure systems support the people who need to act on data — regulators, states, and community groups.
These changes echo recommendations from OMB and independent oversight bodies that agencies build outcome-oriented performance plans. They also reflect broader federal moves toward shared services and enterprise-level procurement to reduce duplication and improve service delivery.
Why it matters: efficiency, accountability, and public trust
An outcomes-led EPA could achieve several concrete gains:
- Resource optimization: directing staff and dollars to interventions that demonstrably reduce risk or accelerate remediation.
- Faster decision-making: streamlined data flows reduce time from evidence to action, shortening permitting and enforcement cycles.
- Improved transparency: clear metrics make it easier for Congress and the public to evaluate trade-offs and results.
- Better stakeholder engagement: communities and regulated parties can see how agency actions affect local outcomes.
However, methodological and governance challenges remain. Measuring environmental outcomes often requires long time horizons and controlling for external factors (economic shifts, weather, upstream pollution) that complicate attribution. That raises hard questions about how to set realistic targets and avoid perverse incentives, such as prioritizing easily measurable outcomes at the expense of important but complex problems.
Perspectives: technologists, policymakers, users, and adversaries
Technologists: CIOs and IT teams see outcomes-driven models as a vehicle to justify modernization spending. Data governance, interoperable platforms, and APIs are prerequisites; without them, outcome metrics will be fragmented and unreliable. Digital leaders caution that investments must include staff training and change management, not just new software.
Policymakers: Congressional appropriators and OMB officials generally favor demonstrable return on investment. Outcome metrics can strengthen budget requests — if they’re credible. Lawmakers also worry about shifting priorities; measures that compress complex environmental work into narrow KPIs could obscure long-term remediation responsibilities.
Users (states, tribes, communities): these stakeholders often stand to benefit most when EPA centers outcomes. When data and goals are aligned, state agencies can coordinate faster, tribes gain clearer signals about resources, and communities see tangible improvements. But these groups also demand transparency about how outcomes are measured and who decides priorities.
Adversaries: whether intentional bad actors or bureaucratic inertia, the risks are real. Opponents could game metrics or exploit short-term measurement windows to challenge agency credibility. Internally, resistance to change — from staff accustomed to legacy procedures — can slow adoption. Security threats to centralized data platforms also elevate the stakes; more integrated systems mean larger attack surfaces that must be defended.
Analysis: balancing ambition with rigor
Outcomes-driven approaches have the rhetorical clarity that both executives and lawmakers crave, and they can produce operational efficiencies by focusing effort where it matters most. But turning theory into reliable practice requires:
- Robust measurement frameworks that account for attribution, lag times, and confounding variables.
- Transparent governance — who sets the outcomes, who validates the data, and how trade-offs are adjudicated.
- Incremental pilots with external evaluation, rather than sweeping, unfunded mandates imposed from the top down.
- Investment in cybersecurity and privacy protections as data systems become more centralized and widely used.
When implemented with rigor, outcomes-driven models can reduce administrative waste and channel agency energy into high-impact actions. When implemented poorly, they risk producing misleading indicators and eroding trust.
Carter Farmer and the next steps for EPA efficiency
Farmer’s message is less about novelty than about discipline: set clear goals, measure what matters, and let those results drive decisions about technology, staffing, and priorities. That approach aligns with recent federal guidance and offers a plausible route to improve both efficiency and accountability at the EPA.
Practical next steps include expanding pilots that link specific IT investments to defined environmental outcomes, strengthening data standards across federal and state partners, and embedding external validation into performance reporting. Success will depend as much on institutional changes — new processes, incentives, and culture — as on technical upgrades.
As agencies across government grapple with tighter budgets and higher expectations, the EPA’s experiment with outcomes-centered management may become a model or a cautionary tale. Will it prove that mission-focused metrics can produce effortless efficiency, or will it expose the limits of neat indicators in a messy world?
Source: https://governmenttechnologyinsider.com/carter-farmer-cio-of-the-environmental-protection-agency-shares-how-focusing-on-mission-outcomes-drives-efficiency__trashed/
