How do people make sense of the epiphanies when they experience them? Pexels

It might be just the right word from your boss. It might be a phone call with a trusted friend. Or it might be waking up one morning and just knowing. There's no way to predict what will spark an epiphany that changes the way you see the world. But their power can be so far-reaching, they often leave us wondering where on earth that brilliant idea came from — and how we can find more.

Studying the mental processes behind epiphanies is especially hard because these flashes of insight are usually linked with unconscious mental processing and incubation, often during time periods when one may not seem to be thinking about a problem at all. In this way, epiphanies seem to arrive effortlessly.

So how do people make sense of the epiphanies when they experience them? In a set of unprecedented studies, Rice Business professor Erik Dane set out to find answers, first examining people who'd experienced general epiphanies, then analyzing a set of accounts of work- and career-related epiphanies themselves.

The research

In his first study, Dane surveyed more than 500 randomly selected people to ask them about their experiences with epiphanies, which he defined as a sudden and abrupt insight and/or change in perspective that transforms the individual.

Subjects who said they'd experienced epiphanies reported what they'd been doing beforehand, the feelings and insight associated with the epiphany and how they thought they'd changed afterward. Interestingly, though this survey wasn't limited to career- or work-related epiphanies, 20 percent of the responses related directly to these topics.

In the second study, Dane interviewed 22 professionals, asking them about distinct work- or career-related epiphanies, most of which resolved a nagging problem. After analyzing the transcripts of these interviews, Dane developed a set of theoretical categories describing the varieties of reactions an epiphany might spark.

People generally perceive and analyze their epiphanies in similar ways, Dane found. He categorized these into four dimensions: a person's emotional reaction to the experience of the epiphany, the question of how the epiphany arose, the circumstances that preceded the insight and a person's observations about how ready they were to experience change through an epiphany.

The findings

The typical first reaction to an epiphany, Dane says, is a sudden and emotionally charged release from a problem or tension. We've all been there: a stressful work situation that seems to offer no way out, followed by a dazzling solution that appears from the clouds. It's that suddenness that leads to the second typical reaction: a sense of astonishment due to the nonconscious nature of the insight's arrival. Feeling dumbfounded for a prolonged time isn't useful, though, so we usually start examining the factors surrounding the epiphany, including our own readiness to change.

What does this imply for workplace? After all, not every problem can or even ought to be solved by epiphany. At the same time, Dane notes, epiphanies can provide critical impetus to move forward.

Interestingly, his findings hint that one can increase the chances of having an epiphany. Though further research is required, Dane concludes that epiphanies most commonly arrive when people are open to the prospect of experiencing a major change. When something is mentally constraining us, on the other hand, eureka moments keep their distance.

The conclusion

As a worker, Dane suggests, you can open space for epiphanies by being actively aware of your surroundings. Look closely at your workplace, your constellation of coworkers and your place within the system. Perceived mindfully, these details may set the stage for problem-solving in a less focused moment.

If you're a mentor or a supervisor hoping to spark epiphanies in your work team, try applying this principle at work: Rather than laying out specific targets and attacking them head-on, aim for an environment that allows for mindful engagement, one that includes the problems that feature in your long-term goals and resonate with your workers' concerns and interests. Cultivating this environment and granting workers time and space to wander through it may lead, like a divining rod, to fresh sources of wisdom.

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This article originally appeared on Rice Business Wisdom.

Erik Dane is a distinguished associate professor of management (organizational behavior) at Jones Graduate School of Business at Rice University.

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”