Revealing Corporate Culture: AI-Powered Insights into Purpose & Career

“I feel as though I make a difference daily.”

“Huge potential to do challenging life's work."

“There's an emphasis on being purpose-driven and growing as a person."

These anonymous employee opinions, stated in public for all to see, were each made about three different publicly traded US-based companies. What sentiment do they convey? Are they credibly indicative of employee experience? Do they tell us anything about corporate culture? Or possibly even business performance?

With the benefit of AI combined with data at scale, we can address these questions with the Aniline Employee Perception scoring model. And yes, published research has established several aspects of corporate culture that predict business performance which are contained in the Aniline scores.

That’s because these opinions are not isolated: they exist as data in a massive NLP (natural language processing) model built over the last 4 years, encompassing hundreds of millions of employee perceptions about where they work.

We characterize these particular opinions as positive expressions about the experience of purpose within an organization. By combining all related positive and negative sentiment, this enables us to model how employees perceive their sense of fulfillment and satisfaction at work.

In turn, our measurement of purpose combines with measurements of other selected attributes — specifically how employees experience their job's opportunity, making a contribution, engaging in training and development, physical mobility, and labor organization dynamics — to form a broader measurement of career attributes. This categorization scheme, or ontology, is shown in the figure below depicting Aniline’s complete scoring model:

Aniline Employee Perception Scoring Ontology

As an AI company, we've followed the success of Nvidia whose hardware powers the AI revolution. Interested in any connection between their business success and employee experience, we looked up the employee perception scores on our user platform. Here is a portion of Nvidia’s employee perception dashboard as of our most recent monthly update on January 31, 2024:

Noting that the career score is the highest of the talent scores - also a positive indicator from our work on insurance risk - let's brings up its components from the ontology:

While every score results from a mix of positive and negative sentiment, Nvidia’s Purpose score of 74 stands out as particularly high, so high that it ranks among the highest 100 Purpose Scores we calculated for public companies on that date (note: we will be publishing a related report on these companies in the very near future). Importantly, we are not characterizing whether or not this particular score had anything to do with Nvidia's recent success. What we are saying is that the voice of the employee is available and can be assessed quickly and effectively through the use of AI. Here are a few excerpts from Nvidia employee feedback that our model assigned to Purpose:

"Doing meaningful work for a company of generational importance."

"Cutting edge technology and very rewarding work."

"The passion and enthusiasm of employees and leadership is what makes NVIDIA a great place."

Whether in isolation or in combination with other employee sentiment metrics, could employee perception data represent an indicator for organizational performance? To date, we have validated the predictive power of Aniline scores for workplace injuries. In short, culture drives risk. We invite you to determine whether culture, as measured by employee perception, also drives business performance.

Aniline’s unique approach to understanding the collective voice of employees in real time helps to elevate performance by revealing what drives success. To learn more, please visit our website at www.aniline.ai or contact us at info@aniline.ai to schedule a brief introduction to our generative AI solution.