For the Technology and AI issue page, the metrics should do four things at once:

That means the metrics cannot be vague, academic, or overly technical. They need to be simple enough for the public, rigorous enough for policy work, and structured enough to support a web page, scoring model, and later Congressional Report Card integration. The good news is that the core public data sources already exist: the FCC National Broadband Map supports coverage and provider-choice measures; the Federal IT Dashboard exposes federal IT spending and investment health data; GAO publishes legacy-system modernization findings; the UN E-Government Survey provides digital-government benchmarking; the ITU publishes the ICT Development Index; Census BTOS supports firm-level AI use tracking; and Stanfordâ€™s AI Index provides international AI adoption, trust, and investment benchmarks.

Each metric shall answer a plain-English question the average American can understand.

Each metric shall point toward a policy lever, budget choice, oversight action, or operational improvement.

A good metric should make it obvious what Congress, agencies, states, or regulators could do next.

Input metrics may be used only when they help explain why outcomes are strong or weak.

Example Federal IT spending is useful, but only if paired with measures showing whether spending is producing modernization and better service. The IT Dashboard publicly reports FY2025 federal IT spending and investment management data, which makes it useful as a supporting input source rather than a stand-alone success measure.

Each metric formula shall remain stable over time unless a documented revision is required.

That approach fits the currently available data landscape: FCC for broadband maps, Census for business AI use, GAO for legacy systems, IT Dashboard for federal IT portfolios, UN for digital government benchmarking, and ITU for cross-country connectivity benchmarking.

Not every metric will support all four, but the system should prefer metrics that can be localized.

Where a meaningful international benchmark exists, the metric shall support comparison to top-performing countries.

The UN E-Government Survey and ITU ICT Development Index are especially useful for this purpose because they are designed for country-level comparison.

The metric set shall exclude metrics that look impressive but do not show public benefit.

The public-facing page shall have a small number of headline metrics, ideally 8 to 15, with additional supporting metrics underneath.

If a score or grade is derived from the metrics, the weighting and formula shall be public.

TM-017 - Public Relevance At least half of the headline metrics shall reflect what households, workers, students, patients, or small businesses directly experience.

At least half of the supporting metrics shall reflect conditions Congress or agencies can realistically improve through legislation, oversight, regulation, procurement, or modernization.

Each metric shall be storable in structured JSON and exportable to CSV for use in the webpage and future analytics.

Measures whether public systems are still running on aging, vulnerable, expensive legacy technology.

Measures whether AI is actually spreading through business, public services, and the workforce.

Measures whether AI is being governed responsibly and whether the public trusts the system.

Requirement: The metric set shall include a measure of the share of U.S. households or service locations with access to fixed broadband meeting the selected baseline speed standard.

Requirement: The metric set shall include a measure of the share of households with at least two practical high-speed providers.

Why it matters: Coverage without competition often still means high prices and poor service.

Requirement: The metric set shall include measures of unserved and underserved locations.

Requirement: The metric set shall include at least one internationally comparable connectivity metric.

Likely source: ITU ICT Development Index. The ITU's 2025 IDI is specifically designed to assess whether connectivity is universal and meaningful, and it publishes country scores including the United States.

Requirement: The metric set shall include a measure of the share of major public services that can be completed fully online.

Requirement: The metric set shall include a measure of whether major services allow real-time or near-real-time status tracking.

Requirement: The metric set shall include an international benchmark for national digital-government maturity.

Likely source: UN E-Government Survey, which benchmarks digital government across all 193 UN Member States and introduced a Digital Government Model Framework in its 2024 edition.

Requirement: The metric set should include a proxy for whether people must repeatedly provide the same information to different government systems.

Requirement: The metric set shall include a measure of critical federal legacy systems most in need of modernization.

Likely source: GAO. In 2025 GAO reviewed 69 federal legacy systems and identified 11 as most in need of modernization.

Requirement: The metric set shall include a measure showing how much federal IT spending is going to operating and maintaining existing systems versus modernization.

The public IT Dashboard shows FY2025 IT spending and portfolio data, which supports this category. GAO also reports that much federal IT spending still goes to operations and maintenance of existing systems.

Requirement: The metric set should include a count or share of major legacy systems with known cybersecurity vulnerabilities, unsupported components, or obsolete languages where data is available. GAO reported that seven of the 11 systems it highlighted were operating with known cybersecurity vulnerabilities.

Requirement: The metric set shall include a measure of how many identified critical systems have been completed, replaced, or substantially modernized.

Requirement: The metric set shall include a measure of AI use among firms, especially small and mid-sized businesses.

Likely source: Census BTOS. Census states that BTOS provides high-frequency estimates of AI use rates by firm size class, and its definition of AI includes generative AI.

Requirement: The metric set shall include a count of federal agencies or major systems publicly disclosing AI use.

Requirement: The metric set should include a proxy measure for workforce AI readiness, such as education, training, or adoption-related participation.

Requirement: The metric set should include an international benchmark for public or population-level AI adoption.

Likely source: Stanford AI Index, which tracks cross-country adoption and public-opinion measures.

Requirement: The metric set shall include a measure of public trust in governmentâ€™s ability to regulate AI responsibly.

Stanford's 2026 AI Index reports cross-country public-opinion comparisons on trust in AI regulation, including the United States.

Requirement: The metric set should include a measure of whether high-impact public AI systems provide meaningful human review or appeal.

Requirement: The metric set should include a measure of whether agencies or regulated sectors publicly report material AI incidents.

Requirement: The metric set should include a measure of how many high-impact AI systems have documented testing, evaluation, or assurance artifacts.

Requirement: The metric set shall include at least one international competitiveness benchmark.

Requirement: The metric set shall include a connectivity benchmark that is internationally comparable.

Requirement: The metric set should include a benchmark for AI investment, adoption, or deployment relative to peer countries.

Stanford's AI Index is useful here because it tracks cross-country AI investment, adoption, and governance-related perceptions.

DP-002 - Structured Metric File There shall be a single structured metrics file for the page, such as JSON.

The pipeline shall allow manually curated values where a source is annual, hard to parse, or better maintained by editorial review.

Immigration Metrics

A congressional performance dashboard that compares legislative activity and immigration-system outcomes against clear requirements: secure borders, lawful process, due process, humane treatment, workforce needs, family stability, measurable accountability, and data transparency.

Snapshot Date: Latest available local data will be shown when the JSON files are present.

Immigration Metrics Dashboard

Executive Summary

This dashboard measures whether Congress and the immigration system are producing practical, measurable results: lawful border management, timely processing, fair adjudication, workforce stability, family stability, data transparency, and due-process protection. It is designed to separate measurable performance from political noise so citizens can see where the system is working, where it is failing, and where Congress should legislate, fund, oversee, or require public reporting.

Congressional Work: This measure tracks bills, sponsorships, cosponsorships, votes, hearings, oversight, funding, and enacted laws. It is used to determine whether Congress is doing measurable work that aligns with the immigration requirements rather than relying on speeches or symbolic activity.

System Results: This measure tracks backlogs, processing speed, lawful entry, border management, integration, workforce needs, and transparency. It is used to determine whether public outcomes are improving and whether legislation is producing operational results.

Rights and Due Process: This measure tracks legal access, detention review, error correction, complaint handling, wrongful-detention risk, erroneous-removal risk, and civil-liberties safeguards. It is used to ensure enforcement performance is measured together with constitutional protection and human consequences.

System Score Summary

Overall Score	—	Grade	—	Last Refreshed	—
Scored Metrics	—	Pending Metrics	—	Points Earned	—
Data Quality	—	Info Metrics	—	History Points	—

Top Dashboard Metrics

Metric	Current Value	Meaning
Issue	Immigration	Requirement-based congressional and system-performance scoring.
Bills Reviewed	--	Bills classified to this issue by the report-card ETL.
Members Assessed	--	Senators and Representatives scored for measurable issue activity.
Average Grade	--	Average grade based on overall score for the selected filters.

Loading local dashboard data. If data files are not present yet, starter metrics will be shown.

Live Immigration System Metrics

This section adds operational immigration-system metrics to the congressional report card. Together, they show both legislative performance and practical outcomes.

Legend

Status	Meaning
Good	Metric is scored and performing well.
Watch	Metric is scored and below target.
Needs Data	Metric is defined, but current source integration is incomplete.
Info	Context metric or trend indicator.

History Points	—	Current Grade	—	Current Score	—
Score Change	—	Pending Metrics	—	Snapshot	—

Domain Summary

Domain	Score	Status	Scored Metrics	Pending	Points Used

How To Read This Page

Use Actual for the current reported value and Target for the benchmark or desired direction.

Score is calculated only when enough data exists. Method explains whether the figure is direct, computed, proxy, context, or pending source integration. Source identifies the official or reputable public source used for the metric.

Requirement Domains

Immigration performance should be measured against what the country actually needs. These domains can be connected to bill tags, budget items, hearings, agency performance data, and member report-card scoring.

Domain	Requirement	Metric Connection

Congressional Performance Summary

This summary focuses on legislative performance: whether Congress is doing useful work on immigration, whether that work is moving forward, and whether it aligns with the requirements.

Metric	Value	Meaning

Member Leaderboard

Members are scored by engagement, progress, outcome, and overall requirement alignment. This table reads local JSON exported from the report-card ETL.

Rank	Member	State	Chamber	Party	Engagement	Progress	Outcome	Overall	Grade

Status of Immigration Legislation

This table summarizes where immigration-related bills are in the legislative process. A healthy Congress should show meaningful movement beyond bill introduction and referral.

Status Bucket	Bills	Interpretation

Scoring Method

Score Component	What It Measures	Evidence Examples
Engagement	Whether a member did measurable work.	Sponsorship, cosponsorship, votes, hearings, oversight, amendments, constituent-facing activity.
Progress	Whether legislation moved through the process.	Committee action, markup, reports, calendar placement, chamber passage, conference action.
Outcome	Whether work produced enforceable results.	Enacted law, funding, oversight requirements, implementation, public reporting, measurable agency change.
Requirement Alignment	Whether the action addresses the actual immigration requirements.	Secure lawful entry, faster processing, due process, civil liberties, family stability, workforce needs, data transparency.
Grades	A through F based on overall score.	A = strong measurable action; B = useful progress; C = partial action; D = minimal useful action; F = no meaningful action or action contrary to requirements.

References and Data Sources

The dashboard should rely on official government data where available, supplemented by reputable public datasets when official recurring data are incomplete.

Source	Use on Page	Reference
Congress.gov API / Library of Congress	Bill text, bill summaries, sponsors, cosponsors, actions, subjects, and legislative status.	https://api.congress.gov/
U.S. House Clerk	House roll-call votes and chamber activity when vote-level scoring is added.	https://clerk.house.gov/Votes
U.S. Senate	Senate roll-call votes and chamber activity when vote-level scoring is added.	https://www.senate.gov/legislative/votes_new.htm
U.S. Citizenship and Immigration Services	Processing times, backlog data, naturalization, work authorization, and immigration-benefit performance metrics.	https://www.uscis.gov/tools/reports-and-studies
U.S. Customs and Border Protection	Border encounters, lawful port-of-entry measures, inadmissibility, and operational border-management context.	https://www.cbp.gov/newsroom/stats
Executive Office for Immigration Review	Immigration court backlog, pending cases, case completions, adjudication activity, and due-process-related court metrics.	https://www.justice.gov/eoir/statistical-year-book
DHS Office of Homeland Security Statistics	Immigration yearbook data, lawful permanent residence, temporary admissions, enforcement actions, and long-term trends.	https://ohss.dhs.gov/
DHS Office for Civil Rights and Civil Liberties	Civil-rights complaint handling, detention conditions oversight, civil-liberties safeguards, and due-process accountability.	https://www.dhs.gov/office-civil-rights-and-civil-liberties
Local Voice to Congress JSON	Website-facing exports generated by the local ETL and metrics scripts.	data/issues/immigration_2025_summary.json; data/leaderboards/immigration_2025_leaderboard.json; data/metrics_current.json; data/metrics_trends.json

Metrics - Technology and AI

What You Can Do