Even as organizations fully commit to diversity, equity, inclusion, and belonging (DEIB), they continue to grapple with progress that falls short.
In a recent study on systemic racism, public affairs firm Edelman found that people of every ethnic group report a gap between their expectations and organizations’ performance on diversity and inclusion. And in its recent global diversity and inclusion survey, professional services giant PwC found that while diversity is a stated value or priority area for 75% of organizations, 32% of respondents still feel diversity is a barrier to employee progression.
Employee and consumer demands for progress are clear. Now, investors are following suit, demanding more transparency into companies’ diversity programs, metrics, and key performance indicators. As a result, organizations everywhere understand they must do more to take a disciplined approach and prove tangible progress in hiring, retaining, and promoting diverse talent while creating a culturally aware workforce.
In a recent webinar, Stacia Garr, co-founder and principal analyst at RedThread Research, and Phil Willburn, head of people analytics and insights at Workday, explored a framework for how to think about DEIB analytics and an approach to making decisions with people data.
These organizations’ responses begin with data—because leaders can’t manage what they can’t measure. As C-suites and boards of directors prioritize DEIB, companies are seeking to apply the same rigorous, data-driven processes that drive the rest of their operations.
In a recent global survey, PwC found that while diversity is a stated value or priority for 75% of organizations, 32% of respondents still feel diversity is a barrier to employee progression.
Unlike two decades ago, when diversity efforts were often part-time and data was scarce, DEIB programs today align around robust data from sophisticated people analytics capabilities. Today, cloud-based, real-time tools driven by data dashboards give HR leaders, senior management, and business managers the ability to accurately track DEIB statistics. These diversity dashboards and scorecards provide real-time data on businesses’ DEIB progress, pushing leaders to take direct, timely action to create a more diverse workplace.
While this approach demonstrates progress, Willburn pointed out that it also introduces a challenge by expecting statistics-minded analytics leaders to partner with less quantitatively inclined DEIB leaders to create diversity goals and accountability plans. This can lead to siloed, disconnected DEIB planning that misallocates resources and fails to support an organization’s overall objectives.
To combat this and create true alignment that leads to real change, DEIB and people analytics leaders need to agree on a definition for “inclusion.” As Garr explained, defining and measuring inclusion—with both perception data about an employee’s feelings and objective data about their actual levels of inclusion—is critical to help companies understand their three Ps: their people and whether they feel valued; their process, including the identification and overhaul of biased systems and policies; and their predictions, or determining factors such as shifting hiring rates that will lead to changes in diversity data.
Next, Garr shared the DEIB and people analytics executives need to tackle these eight steps to get started on their DEIB analytics journey.
1. Identify partners. DEIB and people analytics leaders need to build ongoing relationships with the chief human resources officer, senior HR business partners, legal and privacy teams, and IT teams. To form these partnerships, the DEIB and analytics teams need to understand partners’ needs and fears; identify partners’ current levels of data sophistication and education needs; clarify objectives and map them to partners’ needs; and set clear expectations of the partnership.
2. Get demographic data in order. DEIB and business partners need to align on data definitions, sources, and security protocols, as well as how to gather and continually update the data to prevent getting stuck in static spreadsheets. DEIB leaders should take the lead on determining strategy, while people analytics leaders should provide the relevant data, insights, and updates to inform and measure the strategy’s effectiveness.
3. Understand the problem and ideate data stories. People analytics leaders need to use their broad understanding of the drivers that spur retention, engagement, promotion, and productivity to bring context to DEIB concerns. By analyzing the data and the broader company context, leaders can determine and prioritize the issues that need to be addressed.
4. Identify additional necessary data. After understanding the problem, DEIB and people analytics leaders need to hypothesize the cause of the issue. After creating a hypothesis, they next need to determine the additional data necessary to test it.
5. Prioritize problems to solve. Many organizations have more problems to solve than resources to fix them, so prioritization is necessary. DEIB and people analytics leaders should consider these questions when determining priorities.
6. Analyze and refine data stories. Engage a variety of people in the analysis to counteract bias and include as many perspectives as possible. Consider whether the right question is being answered and whether a different analysis method or data set might yield better insights.
7. Share and explore. Present the data story in a way that builds understanding and creates insight that results in action. To do so, DEIB and people analytics leaders need to:
8. Take action and hold stakeholders accountable. After sharing insights, the DEIB and people analytics teams must continue to define, track, and update metrics to work toward progress. Leaders should:
As organizations everywhere embark on journeys to increase hiring and development of diverse talent and cultivate a culture of belonging, Workday’s analytics and measurement tools, including VIBE Index, can help.
As C-suites and boards of directors prioritize belonging and diversity, companies are seeking to apply the same rigorous, data-driven processes that drive the rest of their operations.
Workday’s cloud-based tools help enable leaders with the steps of DEIB analytics to generate insights, set clear targets, and understand underlying factors contributing to diversity and belonging outcomes. By engaging with real-time data, businesses can build broad trust and alignment, while creating a disciplined plan to continually advance and refine DEIB goals. In this effort, after all, the work is never done.
To learn more about how to fast-track your organization’s DEIB strategy and hear real-world success stories from Workday, watch the webinar.