TECH FOR ALL
TECH FOR ALL
UI / UX / Branding
The tech sector is the world leader in innovation and one of the largest areas of growth in the US economy. Employment in the tech sector is also two times the national average and tends to provide higher pay, better benefits, and resiliency against economic downturns.
Unfortunately, these benefits aren’t reaching everyone as the tech workforce remains largely white, Asian and male. Women make up 36% for the workforce verses 48% generally and half as many black and latinx employees as in other leading industries.
People of color that do land jobs in the tech sector face discrimination and bias in the workplace. Women leave tech at twice the rate as their male counterparts and people of color at a rate of three and half times higher than white males. Most report discrimination and toxic work environments as the main reason for taking their talents elsewhere. On top of that 90% of transgender employees report experiencing discrimination in the workplace and 26% report having lost their jobs due to bias.
Making matters worse, most diversity initiatives focus on either race, gender or gender identity—ignoring the specific issues people face based on their intersectional identities.
We can easily see that people of color are paid less than their white coworkers in tech but the reality is much more complicated. Looking closer, you’d find that black male software developers earn higher wages than white female developers due to gender bias.
On the other hand, racial bias plays a larger role in how Latinx developers of any gender are awarded pay. Without recognition of the complexities of identity, tech companies will remain incapable of meaningfully tackling inclusion.
We need more diversity and we need the culture to be inclusive of everyone because a more diverse and inclusive tech workforce benefits us all. TechforAll is an employer rating platform for the tech industry. We highlight the realities of intersectional discrimination through user-generated reviews of a company's diversity and inclusivity. Through Awareness, Empowerment, and Insight, we hope to provide a safe platform for employees to voice their experiences, a place for job seekers to find inclusive workplaces, and the right tools for companies to take action and make progress.
Our original plan was to help improve diversity and inclusivity in the workplace for all industries but our research showed that problem to be overly complex for a six week development cycle. There was a good amount of established research showing that the tech industry had a particularly bad diversity problem, so that's where we decided to focus.
After digging into the tech platforms already available for this problem what seemed to be missing were solutions that took into account intersectional identities. For example a good number of diversity programs that centered on improving gender diversity disproportionately benefited white cis women, letting women of color fall through the cracks.
When designing our platform we decided on two main users. Someone wanting to share their insight with others about their experience working for a specific company and someone looking to see how inclusive a company may be towards someone of their identity.
Building out task flows for these two users we worked on a company profile page and a user rating section. The company page’s major sections were company reported data that could be dynamically changed to show the break down for professionals and leadership. A bar graph and rating section for user reported data that could be dynamically changed based on gender, ethnicity, and sexual orientation. And finally a comments section for more specific user feedback on a company, which can be sorted based on a series of filters.
The second task flow is for someone going through the process of rating a company. The user would identify the company. They would then enter the job location, type, level and title. Then the user would have the chance to pick their personal intersectional identity followed by a survey asking their satisfaction on a number of metrics based on that identity. This data would be collected and aggregated into the company’s user rating section.
Demographics graphs task flow.
Company page rating filter task flow.
Comments filter task flow.
Full rating task flow.
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Willy Eddy © 2018
Willy Eddy © 2018