Managing a workforce with varied skillsets can be an obstacle for businesses of any size. Here are three tips for navigating this challenge. Photo via Getty Images

As each person is uniquely different, their capabilities are directly reflected in the workplace in terms of how work is delegated to high performing, standard performing and underperforming employees based on their skill sets. For some employees, they thrive when being recognized as the individual who is trusted to always get the job done or complete a last-second task. Meanwhile, other employees may struggle with execution or efficiency, which may mean fewer new assignments for them.

Experienced managers will be able to decipher what is wrong in this scenario. Although it has become a societal norm to assign added work to high performers as a reward, this well-meaning intention can ultimately lead to performance punishments. As the overachievers are “awarded,” the average or below average performers are not placed in conditions that will push them beyond their comfort levels nor to their personal optimal performance capacity. This tactic is also referred to as a “quiet promotion,” in which top performers are given additional work without the benefit of a promotion or increased compensation.

“Quiet promotion” can have severe repercussions for top performers such as increased stress and burnout, which can subsequently lead to lowered productivity. According to a 2022 study by the American Institute of Stress, 76 percent of workers reported that stress harms their overall productivity. To avoid unintentional performance punishments, managers can implement opportunities for continual skill development, provide more balanced workloads and practice honest communication.

Create spaces to develop skills

Yearly reviews are a critical opportunity for managers to highlight their employees’ achievements and identify areas for improvement. However, a formal review is not the only time employees should receive praise or constructive criticism from their managers.

Managers have a more accurate scope of which skills the employee may lack and can assign development opportunities when they touch base with employees throughout the year. This creates a level field for performers to feel eager for development opportunities, and candidates who perform at a lower level will benefit, too. When a culture of continuous development is cultivated, it keeps top performers engaged and mitigates the sense of needing to catch up for those on a development track.

Encourage collaboration

While top performers can complete tasks without additional support, collaboration with colleagues at all levels can elevate work across the board. Partnering top performers with those who may need to fine-tune and develop relevant skills allows top performers to improve their leadership and training skills while building trusting relationships within the team or organization. Group collaboration allows employees to discover and hone their strengths and identify weaknesses so even better work is done together.

Implement honest communication

Top performers, more often than not, work above set expectations. When top performers feel they are due for a promotion as a result of their performance, but have not received it or are overlooked, a once content employee might consider searching for a new job. To avoid potential dispirited employees and impromptu resignations, managers should practice clear and effective communication with their team.

Whether during a yearly review or a biweekly check-in, take the time to ask top performers directly about where they see themselves now, where they would like to go within the organization and whether a promotion is on their radar. In a transparent and open culture, employees will feel more inclined to be outspoken about their intentions. Those who are exploring the idea of moving on will give their manager the opportunity to present other opportunities, advocate for a deserved promotion or articulate a detailed career path to reach the desired position.

Performance punishments are often unintentional, but managers need to be aware the practice can ultimately cause a disconnect within their team and burnout with their top talent. With continual opportunities for skill development, distribution of balanced workloads and transparent communication, managers can lead everyone on their team to growth and success.

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Karen Leal is performance specialist with Houston-based Insperity, a provider of human resources offering a suite of scalable HR solutions available in the marketplace.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”