Cultivating an inclusive and equitable culture is essential for employers to maintain a diverse workforce. To build an inclusive culture, employers should capture demographic data to understand the makeup of their workforce.
That said, capturing demographic data is often easier said than done. Leaders have to reckon with a host of different challenges: ensuring accuracy of data collected, trust with employee base, navigation of laws and norms, and responsible management of data.
For these reasons, organizations are increasingly implementing self-identification as the preferred method of disclosure of demographic data.
In this article, we explore the best practices of self-ID, and the way it can be a huge unlock in the cultivation of an equitable, inclusive, and data-driven culture.
A data-driven approach to inclusion
Self-identification refers to the voluntary disclosure of demographic data by employees to their employers. This data often includes sensitive or legally protected categories such as race/ethnicity, gender, LGBTQ+ status, veteran status, and disability status.
By voluntarily disclosing sensitive demographic information, employees contribute to the collection of data that can be used to monitor and address discrimination. This accurate picture of workforce demographics helps leaders design policies and programs to meet the specific needs of various employee populations.
That said, self-identification practices must be done properly.
The importance of self-identification
Self-disclosure of sensitive demographic data should always be voluntary and confidential; the handling of the data thereafter should also be managed responsibly to protect individuals' privacy and avoid any potential misuse or discrimination.
The voluntary, confidential, and responsible self-disclosure of sensitive demographic data is is crucial for several reasons:
In short, voluntary, confidential, and responsible self-disclosure of sensitive demographic data is essential to uphold privacy rights, prevent discrimination, build trust, ensure data accuracy, and adhere to ethical considerations. Guessing or providing inaccurate information can undermine the reliability and validity of the collected data.
How to effectively implement self-ID practices
Administering self-identification surveys can feel like a daunting task, given the sensitivity of the data involved and associated data compliance and privacy regulations. Depending on where your employees are based, there may be specific legal requirements and cultural norms around the types of data you can ask and collect. And beyond compliantly implementing the surveys, how do you encourage employees to participate and voluntarily disclose their diversity data?
Ultimately, the key to a successful self-ID survey is employee trust. Employees need to feel comfortable disclosing personal information with their employers and trust that sharing this data will ultimately bring about positive change. Here are a few best practices to build trust and encourage employee self-ID:
Successfully capturing self-ID data equips employers with the data they need to foster an inclusive culture and develop a data-driven diversity, equity, and inclusion (DEI) strategy. By collecting this data, leaders can uncover trends within their organization and measure progress towards their DEI goals.
About Arbor
Arbor enables leaders to easily capture, analyze, and benchmark DEI outcomes. Arbor’s self-ID surveys enable organizations to compliantly and securely capture employee-disclosed demographic data, while staying compliant with regional data privacy and security regulations. Beyond collecting the data, Arbor’s dashboard enables leaders to visualize trends over time, benchmark outcomes against industry averages, and easily export into reports for shareholders.
Contact us at hello@findarbor.com to learn more about how our platform can help your organization.