DATA COLLECTION AND ANALYSIS
Continue improvement of current compliance data collection processes , track language access activities consistently , and refine multiple data sources for a more diverse data landscape .
Multiple data sources inform the current status of language access compliance in San Francisco , including Departments ’ self-reported LAO compliance data , spot checks conducted by community-based organizations , and language access complaints . Departments ’ compliance reports showed some data collection improvements during the past fiscal year by showing higher use of the intake method of data collection and more thoroughly completed compliance reports . Multiple data collection approaches are listed on the annual reporting form , including : intake , annual survey , and number of telephonic interpretation requests . OCEIA typically recommends using the intake option so Departments can more easily capture and track LEP client interactions as they take place . In FY 2023-2024 , Departments should utilize reliable internal data collection processes and thorough data reporting practices , both of which are important for monitoring LEP client needs and trends across years . This will help ensure that Departments submit accurate data in 2024 for total LEP client interactions , telephonic interpretations , in-person interpretations , translated documents , and other measures included in the LAO compliance reporting form .
Beyond working with Departments to improve their self-reported compliance data , OCEIA will also continue working with community-based organizations to increase the availability of robust spot check data and language access complaint information in FY 2023-2024 . In June 2023 , OCEIA introduced a new spot check form focused on websites and will continue collaborating with the Language Access Network of San Francisco ( LANSF ), Digital Services , and other stakeholders to learn more about language access compliance and gaps in accessibility for digital information in the months ahead .
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