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拒绝单一方法

我们不能使解决技术领域不公平现象的单一哲学或方法论的解决方案永久化。 我们的问题是复杂的和多因素的。 因此,我们必须破坏在工作场所提高代表性的单一方法,即使它们是由我们钦佩的人或拥有机构权力的人提拔的。

英文原文
We cannot perpetuate solutions that present a single philosophy or methodology for fixing inequity in the technology sector. Our problems are complex and multifactorial. Therefore, we must disrupt singular approaches to advancing representation in the workplace, even if they are promoted by people we admire or who have institutional power.
在技术行业中,一个独特的说法是,劳动力中缺乏代表性的问题只能通过修复招聘渠道来解决。 是的,这是一个基本步骤,但这不是我们需要解决的直接问题。 例如,我们需要认识到进步和保留方面的系统性不平等,同时关注更具代表性的招聘和教育差异,例如跨种族、性别、社会经济和移民身份。
英文原文
One singular narrative held dear in the technology industry is that lack of representation in the workforce can be addressed solely by fixing the hiring pipelines. Yes, that is a fundamental step, but that is not the immediate issue we need to fix. We need to recognize systemic inequity in progression and retention while simultaneously focusing on more representative hiring and educational disparities across lines of race, gender, and socioeconomic and immigration status, for example.
在科技行业,每天都有许多来自弱势群体的人被忽视,以寻求机会和进步。 Black+ Google 员工的流失率超过所有其他群体的流失率,并混淆了代表目标的进展。 如果我们想推动变革并增加代表性,我们需要评估我们是否正在创建一个生态系统,让所有有抱负的工程师和其他技术专业人士都能在其中茁壮成长。
英文原文
In the technology industry, many people from underrepresented groups are passed over daily for opportunities and advancement. Attrition among Black+ Google employees outpaces attrition from all other groups and confounds progress on representation goals. If we want to drive change and increase representation, we need to evaluate whether we’re creating an ecosystem in which all aspiring engineers and other technology professionals can thrive.
充分了解整个问题空间对于确定如何解决问题至关重要。 这适用于从关键数据迁移到雇佣代表性劳动力的所有事情。 例如,如果您是一名想要雇用更多女性的工程经理,请不要只专注于建立管道。 关注招聘、保留和晋升生态系统的其他方面,以及它对女性的包容性或不包容性。 考虑一下您的招聘人员是否展示了识别强大的女性和男性候选人的能力。 如果您管理一个多元化的工程团队,请关注心理安全并投资于提高团队的多元文化能力,以便新团队成员感到受欢迎。
英文原文
Fully understanding an entire problem space is critical to determining how to fix it. This holds true for everything from a critical data migration to the hiring of a representative workforce. For example, if you are an engineering manager who wants to hire more women, don’t just focus on building a pipeline. Focus on other aspects of the hiring, retention, and progression ecosystem and how inclusive it might or might not be to women. Consider whether your recruiters are demonstrating the ability to identify strong candidates who are women as well as men. If you manage a diverse engineering team, focus on psychological safety and invest in increasing multicultural capacity on the team so that new team members feel welcome.
今天的一种常见方法是首先为大多数用例构建,将解决边缘情况的改进和功能留到以后。 但是这种方法是有缺陷的; 它为已经在获取技术方面拥有优势的用户提供了一个良好的开端,从而增加了不平等。 将所有用户群体的考虑放到设计几乎完成的时候,是为了降低成为一名优秀工程师的标准。 相反,通过从一开始就构建包容性设计并提高开发标准,使工具对那些难以获得技术的人来说是令人愉悦和易于使用的,我们增强了所有用户的体验。
英文原文
A common methodology today is to build for the majority use case first, leaving improvements and features that address edge cases for later. But this approach is flawed; it gives users who are already advantaged in access to technology a head start, which increases inequity. Relegating the consideration of all user groups to the point when design has been nearly completed is to lower the bar of what it means to be an excellent engineer. Instead, by building in inclusive design from the start and raising development standards for development to make tools delightful and accessible for people who struggle to access technology, we enhance the experience for all users.
为最不像您的用户设计不仅是明智的,而且是最佳实践。 在开发避免对用户不利或代表不足的产品时,所有技术人员,无论其领域如何,都应考虑务实且直接的后续步骤。 它从更全面的用户体验研究开始。 这项研究应该针对多语言和多文化的用户群体,跨越多个国家、社会经济阶层、能力和年龄范围。 首先关注最困难或代表最少的用例。
英文原文
Designing for the user who is least like you is not just wise, it’s a best practice. There are pragmatic and immediate next steps that all technologists, regardless of domain, should consider when developing products that avoid disadvantaging or underrepresenting users. It begins with more comprehensive user-experience research. This research should be done with user groups that are multilingual and multicultural and that span multiple countries, socioeconomic class, abilities, and age ranges. Focus on the most difficult or least represented use case first.