FR 2024-28562

Overview

Title

Agency Information Collection Activities; Submission to the Office of Management and Budget (OMB) for Review and Approval; Comment Request; Surveys for User Satisfaction, Impact and Needs

Agencies

ELI5 AI

The Department of Commerce wants people to tell them what they think about how good and useful its international trade programs are by filling out surveys. They want this information to make their services better, and anyone can share their thoughts about these surveys within 30 days.

Summary AI

The Department of Commerce is seeking public feedback on the renewal of an information collection related to its international trade programs. This involves surveys to gauge user satisfaction and needs, linked to the International Trade Administration's services and programs. The data gathered aims to improve these services by providing insights into customer experiences and needs. Interested parties have 30 days to submit comments or suggestions on this collection, which can be accessed and reviewed on the reginfo.gov website.

Type: Notice
Citation: 89 FR 96947
Document #: 2024-28562
Date:
Volume: 89
Pages: 96947-96947

AnalysisAI

The document from the Federal Register details a proposal by the Department of Commerce, specifically the International Trade Administration (ITA), to renew an information collection effort. The renewal is part of a bureaucratic process under the Paperwork Reduction Act of 1995, which ensures that public feedback is sought before government agencies collect information. This collection focuses on surveys related to ITA's programs that support U.S. businesses in international trade. These surveys aim to assess user satisfaction, the impact of ITA programs, and the needs of the businesses they serve.

General Summary

The Department of Commerce is inviting public comments on its intention to continue using surveys to evaluate and improve the international trade programs offered by the ITA. This process involves the collection of feedback through both transactional (comment cards) and relationship-based (annual) surveys. The data gathered from these surveys will help the ITA understand how well its programs and services perform and identify potential areas for improvement.

Significant Issues or Concerns

A critical aspect of this process is its reliance on public participation. While the goal is to refine ITA's services and ensure they are effective, the plan's success hinges on receiving sufficient, representative feedback from those served by these programs. One could question how well these surveys capture the breadth of user experience and whether the 30-day public comment period provides enough time for thorough, meaningful participation from a diverse set of stakeholders.

Impact on the Public

This document and the ensuing data collection have implications for U.S. businesses involved in international trade. By soliciting input on their programs, the ITA aims to optimize their offerings, potentially enhancing the effectiveness and efficiency of U.S. companies' international trade activities. This could lead to more robust support for these businesses, facilitating growth and competitiveness on a global stage.

Impact on Stakeholders

For stakeholders, which include businesses, non-profit organizations, and potentially individuals who engage with ITA's trade services, the anticipated improvements arising from this feedback loop could be highly beneficial. Businesses might find that the services become better tailored to their specific needs, leading to more successful international operations. However, the process is voluntary, and some stakeholders may not engage fully, either due to awareness issues or skepticism regarding the impact of their feedback.

Overall, the proposal reflects a structured approach to enhance government services by embedding feedback mechanisms, yet it also underscores the importance of active and wide-ranging participation to truly shape these resources effectively.

Statistics

Size

Pages: 1
Words: 670
Sentences: 34
Entities: 40

Language

Nouns: 243
Verbs: 55
Adjectives: 26
Adverbs: 8
Numbers: 23

Complexity

Average Token Length:
5.82
Average Sentence Length:
19.71
Token Entropy:
5.15
Readability (ARI):
19.33

Reading Time

about 2 minutes