Startups

Use radical objectivity to create and retain an inclusive workforce

Comment

Illustration of four people finishing a puzzle to represent assembling and retaining an inclusive workforce.
Image Credits: Malte Mueller (opens in a new window) / Getty Images

James Nash

Contributor

James Nash is CEO and founder of inBeta, a tech-enabled talent specialist using data, social listening and human science to help corporations overcome bias.

Today, the age of corporate social justice is dawning. With the business case for diversity, equity and inclusion (DEI) now more vital than ever, we’re beginning to see organizations truly embrace social activism.

And while social justice was, rightly, the initial impetus, companies are finally waking up to the business case for diversity initiatives. Recent research by McKinsey shows that organizations with the most ethnically diverse teams are 36% more likely to financially outperform those with the least. This is because diversity increases revenue, boosts innovation, sparks creativity and leads to better decision-making.

But the truth is, the more diversity you have, the more challenging it can be.

The problem is that business leaders and diversity advocates have failed to consider an approach to diversity that goes beyond “add diversity and stir.” Diversity is not a numbers game wherein the solution is to merely increase the numbers of traditionally underrepresented groups in your workforce.

Now, as the world adjusts following the pandemic, it’s time to stop pretending that outdated diversity programs work. So let’s explore some of the measures leaders can take to root out bias and subjectivity from the outset, and instead adopt an approach of “radical objectivity” — combining data and human science to ensure that talent and merit win every time.

Inclusion is about more than hitting diversity recruiting optics

Diversity in the workplace starts with an inclusive culture. Unfortunately, many companies get this wrong. This is because diversity is quantitative — it’s the extent of heterogeneity within your workforce. On the other hand, inclusion describes the experiences of different individuals in the workforce and the degree to which they’re invited to participate.

Delivering on inclusion, therefore, is about more than hitting diversity recruiting optics. Done right, an inclusive culture should help to foster a sense of belonging and shared values. By arming themselves with data and insight instead of diversity quotas, forward-thinking organizations can create an environment in which individuals of all backgrounds can thrive.

So how do they get there?

It starts with language

Diversity initiatives often fail because they land too late in the employee journey to have a lasting impact. Change needs to be embedded in the talent acquisition process, which means evolving the way that you engage with your prospective employees — starting with language.

The words you choose to bring your business to life will make the difference: Words are influential ambassadors of your workplace’s culture. Technology and data analysis can help you here, providing robust insights on the messages you’re sending.

For example, are you using gender-coded or inclusive-coded language to attract inclusion-minded people? Are you taking the time to update your communications regularly to make sure they’re understanding of different cultural contexts — not just gender and ethnic but organizational and generational, too?

And it’s not just the language that you use in your marketing that matters. Have you considered the words used by your hiring managers and recruiters? At Inbeta, we use technology that enables organizations to move beyond the basics when it comes to inclusion.

For example, we bury specific questions in our recruitment interviews, the answers to which can be linguistically analyzed to understand the genuine values and behaviors of candidates, recruiters and hiring managers. This means you no longer need to rely on simplistic “bias checker” software, which tends to be based on outdated research with few controls on data integrity.

Remember, the best candidates have options. So what will you say that makes them want to work for you?

Moving past preconceptions

It’s also essential to bear in mind that, when it comes to language, it works both ways. When deciding whether to hire someone, we need to move past conceptions of how the ideal candidate should talk. That, too, leads to homogeneity. Technology and training in tandem can help with that.

At Inbeta, we recently partnered with a prominent high-street retailer to recruit a board director and encountered in our search a prominent candidate from a working-class background. However, the initial assumption from their tone and the way they articulated was that they had got to their accomplished position through “grit” and “graft” and lacked the strategic capability required for the new role.

Our linguistic intelligence coupled with human expertise surfaced early on that this was not the case and allowed us to counteract the biases at play. We were able to advocate for the individual and design a bespoke coaching intervention that raised the profile within the process, showcasing objective potential and ensuring they were given an equitable chance. The individual is now in the final stage, despite the disadvantage their socioeconomic background would have otherwise caused them.

Looking where others wouldn’t (or couldn’t)

Traditional approaches are too static to uncover all the potential that’s out there.

A standard executive search process will typically entail significant manual desk research reviewing historical databases that are only as up-to-date as the day each CV was written. Failing that, you’re at the mercy of the headhunter’s black book of acquaintances — or perhaps a combination of the two. Either way, the process is far from efficient, let alone equitable.

We use a suite of technologies that allows us to identify “hidden” talent without relying on either approach. We’re currently working with a leading fashion brand to hire a customer and digital director, for example, and the use of our tools has meant that we’ve been able to rapidly deliver a long list of 74 high-priority real-time candidates within 48 hours.

This is a potential talent pool that would take more traditional search processes weeks to develop — and that’s before validation. Not only are we able to map candidates quickly and efficiently, by leveraging technology, we can independently execute due diligence to quantify these leads: Are they exhibiting typical job-seeking behaviors? What are their cultural drivers? Do they have the desired leadership qualities?

This isn’t just about speed and efficiency — although, of course, that’s a bonus — this is, crucially, about surfacing candidates that would usually be overlooked in the search process.

Moving beyond cultural fit

In tackling unconscious bias, it’s also worth considering what a truly inclusive approach to talent acquisition looks like. Companies have long hired for “cultural fit,” but there’s a tremendous amount of bias in these mindsets.

By aiming to hire people whose attributes mesh with the company’s goals and values, your resulting workplace is one in which everyone looks, thinks and acts alike. Instead, organizations must move away from a practice that aims to mold people to fit their norms.

There’s a recent story that always springs to mind. In the run-up to the pandemic, I was working with a significant multinational retail group to source a group chief digital officer as part of a very high-profile board restructure.

The individual we surfaced had no fashion experience and limited retail experience. Furthermore, their mindset couldn’t have been further from that of the existing C-suite, meaning they would have been entirely overlooked by the majority of headhunters. But, on the other hand, this individual had outstanding digital expertise, a career spanning innovation across several FTSE100 companies. And on top of all this, they’d been operating as a digital nomad in remote central Africa.

Their technical proficiency, coupled with their incredibly diverse mindset, meant that they were the perfect person to revolutionize a very traditional organization. But they simply wouldn’t have been identified had we been seeking out somebody who was a so-called “cultural fit.” By getting past the cultural fit default, companies are far more likely to build teams with the diversity of mindset, experience, ethnicities and backgrounds that they claim to be seeking.

Rewiring the system

Ultimately, taking a holistic view of diversity means looking beyond numbers; a tick-the-box program doesn’t cut it.

Cultural change is challenging, perhaps even more so when the objective is creating an inclusive culture. But without a concerted effort to change organizational culture and foster inclusion, diversity initiatives are likely to fail.

The easiest way to address this is to re-examine your hiring process with a radically objective approach. Companies today need to leverage technology and data to mitigate implicit bias wherever they can and match that with human touch and cultural intelligence. The route to diversity success is to perpetually listen, adapt and develop.

More TechCrunch

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals

Veo can generate few-seconds-long 1080p video clips given a text prompt.

Google’s image-generating AI gets an upgrade

At Google I/O, Google announced upgrades to Gemini 1.5 Pro, including a bigger context window. .

Google’s generative AI can now analyze hours of video

The AI upgrade will make finding the right content more intuitive and less of a manual search process.

Google Photos introduces an AI search feature, Ask Photos

Apple released new data about anti-fraud measures related to its operation of the iOS App Store on Tuesday morning, trumpeting a claim that it stopped over $7 billion in “potentially…

Apple touts stopping $1.8B in App Store fraud last year in latest pitch to developers

Online travel agency Expedia is testing an AI assistant that bolsters features like search, itinerary building, trip planning, and real-time travel updates.

Expedia starts testing AI-powered features for search and travel planning

Welcome to TechCrunch Fintech! This week, we look at the drama around TabaPay deciding to not buy Synapse’s assets, as well as stocks dropping for a couple of fintechs, Monzo raising…

Inside TabaPay’s drama-filled decision to abandon its plans to buy Synapse’s assets

The person who claimed to have stolen the physical addresses of 49 million Dell customers appears to have taken more data from a different Dell portal, TechCrunch has learned. The…

Threat actor scraped Dell support tickets, including customer phone numbers