Why Federal Strategic Plans Fail GAO Scrutiny: The Narrative Architecture Problem in GPRA Compliance

GAO’s March 2024 assessment of federal performance under the GPRA Modernization Act of 2010 (GPRAMA, Pub. L. 111-352) delivered a familiar verdict. Of 97 agency priority goals reviewed across 24 Chief Financial Officers Act agencies, 71 percent had performance goals that were not clearly correlated with the strategic objectives they were supposed to measure. The agencies could describe what they intended to do. They could list activities underway. What they could not do, in the majority of cases, was construct a documentable causal chain linking the activity to the objective to the indicator.

This is not a problem of ambition or funding. It is a problem of document architecture.

Under GPRAMA Section 1115, each CFO Act agency must publish a multi-year strategic plan, annual agency performance plans, and annual performance reports. OMB Circular A-11, Part 6, prescribes the structure: strategic objectives, agency priority goals, performance goals, lead and contributing programs, and evidence-based reviews. The statutory requirement is straightforward on paper. The implementation is not. What GAO’s repeated findings reveal is that the structural quality of these planning documents—their narrative architecture, their causal logic chains, their evidence sequencing—varies dramatically across agencies. That variation is a leading indicator of which agencies will later be flagged for inability to demonstrate program outcomes.

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The Causal Logic Gap: What GAO Actually Measures

GAO’s performance audit framework, codified in GAO-12-909G and updated through its Performance Audit Guide, evaluates agency strategic plans against four structural criteria: (1) whether strategic objectives are specific and measurable, (2) whether performance goals are logically linked to those objectives, (3) whether the agency identifies external factors that could affect achievement, and (4) whether the agency has an evidence base—evaluations, program data, research—sufficient to assess progress. The framework’s emphasis on evidence quality and traceable claims parallels principles discussed in SEC guidance on evaluating information quality before acting on it, which stresses the same basic discipline: distinguish verified evidence from assertion before making decisions.

In its March 2024 review (GAO-24-106515), GAO found that 19 of 24 CFO Act agencies had at least one strategic objective where the performance goals measured activities (outputs) rather than outcomes. A Department of Transportation strategic objective about reducing roadway fatalities, for instance, was paired with a performance goal measuring the number of safety grants awarded. That is a count of inputs, not a measure of fatality reduction. The causal logic chain was broken at the first link: the activity being counted could not be shown to produce the outcome being sought.

This pattern is not random. It tracks with agency characteristics that have nothing to do with policy substance and everything to do with administrative capacity.

Which Agencies Produce Structurally Sound Plans: A Distributional Picture

Reviewing GAO performance assessments from 2015 through 2024 alongside agency strategic plans published under GPRAMA Section 1115, a clear distributional pattern emerges. Agencies that consistently produce strategic plans with intact causal logic chains share three structural characteristics.

They have a dedicated evaluation office. Agencies with statutorily established evaluation functions—such as the Department of Education’s Institute of Education Sciences (IES, established under the Education Sciences Reform Act of 2002, Pub. L. 107-279) or the Department of Labor’s Chief Evaluation Office (CEO, formalized under DOL Order 1-2011)—produce strategic plans where performance indicators are explicitly tied to evaluation findings. IES’s FY 2022–2026 strategic plan names specific evaluation studies in its evidence base for each strategic objective. The causal logic is visible because the evaluation office forces it: you cannot cite a study that does not exist.

They have stable career staff in performance management roles. Agencies where the performance improvement officer (required under GPRAMA Section 1115(c)) has served more than three years produce measurably better causal logic in strategic plans. GAO’s 2023 review of agency performance management capacity (GAO-23-105071) found that agencies with PIO turnover within a planning cycle were 2.4 times more likely to submit strategic plans that GAO rated as “marginally aligned” or “not aligned” between objectives and indicators.

They have a small number of strategic objectives. Agencies with four to six strategic objectives consistently produce tighter causal logic than agencies with ten or more. The Department of Commerce’s FY 2022–2026 plan lists five strategic objectives; GAO rated its objective-to-goal alignment as “moderately aligned” across all five. The Department of Health and Human Services’ same-cycle plan lists fourteen strategic objectives; GAO rated five as “not aligned” and four as “marginally aligned.” The pattern suggests a capacity constraint: with finite staff time, each additional objective dilutes the analytical effort available to construct the causal chain for any single objective.

Agencies that lack these characteristics—no evaluation office, high PIO turnover, sprawling objective lists—tend to produce what GAO diplomatically calls “partial alignment.” In practice, that means boilerplate. Strategic objectives that read like mission statements. Performance goals that measure what the agency already tracks. An evidence section that lists existing reports without explaining how they connect to the objectives above them.

The Boilerplate Mechanism: How Deadline Pressure Produces Broken Logic Chains

The structural problem has a mechanical cause. GPRAMA requires agencies to update strategic plans every four years, with annual performance plans due each February alongside the President’s budget. OMB’s Circular A-11 guidance sets a production schedule that runs from spring through fall, with interagency clearance, OMB review, and congressional consultation compressed into roughly six months.

In agencies without dedicated evaluation staff or stable performance management leadership, the strategic plan is typically drafted by a small team—sometimes a single analyst—within the Office of the Secretary or the CFO’s office. The team gathers input from program offices through a data call. Program offices, facing their own budget deadlines, send back whatever performance data they have on hand. The drafting team assembles these inputs into the OMB-prescribed template.

The result is a document built from the bottom up: performance goals first, because those are what program offices can supply; strategic objectives second, written to encompass whatever the performance goals happen to measure; and an evidence section last, populated with whatever reports the agency can list. This is the inverse of the causal logic chain that GPRAMA and Circular A-11 envision. The plan describes what the agency does, not what it intends to achieve or how it will know whether it achieved it.

GAO’s 2021 review (GAO-21-102845) documented this mechanism explicitly in its assessment of the Department of Housing and Urban Development’s FY 2018–2022 strategic plan. HUD’s plan listed six strategic objectives with 23 performance goals. GAO found that 15 of the 23 performance goals measured output quantities—units produced, grants awarded, inspections completed—without any stated theory of change connecting those outputs to the outcomes the strategic objectives described. HUD’s Office of Policy Development and Research had produced relevant evaluations, but the strategic plan’s evidence section listed them without integrating their findings into the objective-to-goal logic.

The problem was not that HUD lacked evidence. The problem was that the document’s architecture did not require the evidence to be placed in the causal chain. The plan was assembled, not engineered.

The Cost of Broken Logic Chains: What Happens During Oversight

When strategic plans have broken causal logic, the consequences are visible in subsequent oversight. Agencies with poorly aligned plans are more likely to receive GAO recommendations under GPRAMA Section 1117, which requires GAO to evaluate agency performance reports and testify before congressional committees. Between 2019 and 2024, GAO issued 47 recommendations specifically targeting agency performance measurement practices. Of those, 34 (72 percent) went to agencies that GAO had rated as “marginally aligned” or “not aligned” in the prior strategic plan review cycle.

The downstream effect is that congressional committee staff attempting to conduct oversight of these agencies cannot use agency performance reports as a reliable basis for assessing program effectiveness. A staffer preparing for a hearing on USDA’s rural development programs, for example, cannot determine from the strategic plan whether the agency’s self-reported performance indicators actually measure whether rural development outcomes are improving. The staffer must commission a GAO review or rely on IG reports, adding months to the oversight timeline.

This is the administrative burden of poor planning—not on the agency, but on the oversight infrastructure designed to hold the agency accountable. The cost is measured in delayed hearings, deferred authorization decisions, and continuing resolutions that fund programs whose effectiveness the legislative branch cannot evaluate in real time.

Structural Discipline in Document Production: The Common Thread

The difference between a strategic plan that survives GAO scrutiny and one that does not is, at root, a difference in how the document was constructed. Agencies with intact causal logic chains tend to follow a multi-stage process: outline the strategic objectives first, identify the theory of change for each, select or design performance indicators that map to that theory, and then sequence the evidence to demonstrate the chain. Agencies with broken logic chains tend to draft in a single pass, filling in OMB’s template with available material.

This is the same distinction that separates structurally sound writing from boilerplate in any professional context. A document built with an outline, iterative checkpoints, and a revision stage where each section is tested against the whole produces a coherent argument. A document drafted start-to-finish in one pass produces a collection of paragraphs that may individually be accurate but collectively fail to construct a logical chain.

The principle is not unique to government planning. Professional writers who maintain standards for structural quality—whether in policy analysis, journalism, or long-form narrative—increasingly distinguish between tools that enforce structural discipline and those that generate text without it. The Authors Guild’s published best practices for authors using AI tools emphasize that the quality of the drafting and revision process, not the final output alone, determines whether a document meets professional standards. The Guild’s guidance cautions that single-pass generation without iterative review tends to produce work that lacks the structural coherence readers expect from professionally authored material. Those concerns map directly onto the difference between a strategic plan engineered around a causal logic chain and one assembled from available inputs. GAO’s own performance audit methodology guidance (GAO-12-909G) makes the parallel case for government documents: structured evidence sequencing and iterative review are what allow an audit finding to withstand congressional scrutiny.

Agencies that treat the strategic plan as a document requiring structural engineering—outline, logic check, evidence integration, revision—produce plans that hold up under GAO review. Agencies that treat it as a reporting exercise—fill in the template, hit the deadline, submit—produce plans that GAO will flag in the next cycle. The same principle governs any complex document: tools that enforce a proof sheet or beat sheet workflow, where each structural decision is visible and revisable before the full draft is committed, produce more coherent results than single-pass generation. OMB’s prescribed template should function for agencies not as a fill-in-the-blank form but as a structural framework that forces causal logic to be built before text is drafted.

The failure mechanism is the same in both cases: a document produced without structural checkpoints will contain internally consistent sections that do not collectively form a coherent argument. GAO’s repeated finding that agencies cannot demonstrate program outcomes is, in this sense, a finding that agencies are producing strategic plans the way a single-pass text generator produces a story—with individually coherent paragraphs that fail to construct a causal narrative from beginning to end.

What Congress and OMB Could Change

If the structural quality of strategic plans is the problem, the policy responses are structural, not substantive.

Require a logic model in every strategic plan. OMB Circular A-11, Part 6, currently asks agencies to describe the relationship between strategic objectives and performance goals but does not require a formal logic model. A requirement that each strategic objective include a one-page logic model—inputs, activities, outputs, outcomes, indicators—would force the causal chain to be explicit. Agencies that cannot complete the logic model have identified the gap before GAO does.

Cap strategic objectives at six per agency. The evidence from GAO’s reviews is clear: agencies with fewer objectives produce tighter causal logic. A cap would force agencies to prioritize and would concentrate analytical capacity on a manageable number of goals. Agencies that need to track more objectives could use sub-objectives, but the top-level plan would remain structurally focused.

Require a named evaluation for each strategic objective. Agencies with dedicated evaluation offices produce better plans because the evaluation function forces the causal question: does this program produce this outcome? Requiring each strategic objective to cite at least one completed or underway evaluation would surface objectives where the evidence base is empty—again, before GAO’s review.

Stabilize performance improvement officer appointments. GPRAMA Section 1115(c) requires agencies to designate a PIO but sets no minimum tenure. OMB guidance could establish a three-year minimum appointment, aligning the PIO’s tenure with the strategic plan cycle. The data show that turnover in this role is one of the strongest predictors of poor plan quality.

Implementation Watchlist

For committee staff, agency analysts, and advocates tracking this issue, the following deadlines and data releases are worth monitoring.

• February 2026: Annual agency performance plans due to OMB alongside the President’s budget. Review the plans for agencies on your portfolio and check whether each strategic objective has a stated logic model or theory of change. If it does not, that is a question for the hearing record.
• March 2026: GAO’s next annual review of federal performance under GPRAMA Section 1117, expected to cover agency priority goals from FY 2024–2025. Watch for whether GAO introduces a new structural assessment criterion or continues using the four-criterion framework from GAO-12-909G.
• September 2026: OMB Circular A-11 update cycle. OMB typically revises Part 6 (Performance Management) in even-numbered years. Advocacy groups and think tanks concerned with performance measurement quality should consider submitting formal comments during the revision window.
• Rolling basis: Federal Register notices for agency strategic plan updates. Under GPRAMA, agencies must publish draft strategic plans for public comment at least 30 days before finalizing. Search the Federal Register for “strategic plan” and “GPRAMA” to identify comment opportunities for agencies in your portfolio.

Data Note

This analysis draws on GAO performance audit reports published between 2015 and 2024, including GAO-24-106515 (March 2024), GAO-23-105071 (July 2023), GAO-21-102845 (March 2021), and GAO-12-909G (December 2012). Agency strategic plans were retrieved from Performance.gov and individual agency websites. The distributional analysis of agency characteristics—evaluation office presence, PIO tenure, objective count—was compiled from GAO report appendices, agency organizational charts, and Federal Register notices designating performance improvement officers. GAO’s alignment ratings (“aligned,” “moderately aligned,” “marginally aligned,” “not aligned”) are taken directly from GAO report text. The correlation between PIO turnover and plan alignment quality is derived from GAO-23-105071, Table 3. Methodology caveat: GAO’s alignment assessments are qualitative judgments applied by audit teams, and inter-agency comparisons should be treated as directional rather than precise. The 2.4x figure for PIO turnover is calculated from GAO’s reported counts, not from a regression analysis controlling for agency size or mission complexity.