By accounting for both known and unknowable factors, managers can identify salespeople with traits that work best in different types of sales. Getty Images

When you're a manager, decisions barrage you each day. What product works? Which store layout entices? How will you balance the budget? Many of these decisions ultimately hinge on one factor: the skills of your sales force.

Often, when managers evaluate their salespeople they contend with invisible factors that may not show up in commissions or name-tagged sales rosters — intangibles such as product placement, season or simply a store's surrounding population. This makes it hard to fully evaluate a salesperson, or to spot which workers can teach valuable skills to their peers and improve the whole team.

But what if you could plug a few variables into a statistical model to spot your best sellers? You could then ask the star salespeople to teach coworkers some of their secrets. New research by Rice Business professor Wagner A. Kamakura and colleague Danny P. Claro of Brazil's Insper Education and Research Institute offers a technique for doing this. Blending statistical methods that incorporate both known and unknown factors, Kamakura and Claro developed a practical tool that, for the first time, allows managers to identify staffers with key hidden skills.

To test their model, the researchers analyzed store data from 35 cosmetic and healthcare retail franchises in four South American markets. These particular stores were ideal to test the model because their salespeople were individually responsible for each transaction from the moment a customer entered a store to the time of purchase. The salespeople were also required to have detailed knowledge of products throughout each store.

Breaking down the product lines into 11 specific categories, and accounting for predictors such as commission, product display, time of year and market potential, Kamakura and Claro documented and compared each salesperson's performance across products and over time.

They then organized members of the salesforce by strengths and weaknesses, spotlighting those workers who used best practices in a certain area and those who might benefit from that savvy. The resulting insight allowed managers to name team members as either growth advisors or learners. Thanks to the model's detail, Kamakura and Claro note, managers can spot a salesperson who excels in one category but has room to learn, rather than seeing that worker averaged into a single, middle-of-the-pack ranking.

If a salesperson is, for example, a sales savant but lags in customer service, managers can use that insight to help the worker improve individually, while at the same time strategizing for the store's overall success. Put into practice, the model also allows managers to identify team members who excel at selling one specific product category — and encourage them to share their secrets and methods with coworkers.

It might seem that teaching one employee to sell one more set of earbuds or one more lawn chair makes little difference. But applied consistently over time, such personalized product-specific improvement can change the face of a salesforce — and in the end, a whole business. A good manager uses all the tools available. Kamakura and Claro's model makes it possible for every employee on a sales team to be a potential coach for the rest.

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This story originally ran on Rice Business Wisdom.

Based on research from Wagner A. Kamakura, the Jesse H. Jones Professor of Marketing at Jones Graduate School of Business at Rice University.

Keeping on track with trends is crucial to growing and developing a relationship with your customers, these Rice University researchers found. Getty Images

Rice researcher delves into the importance of trendspotting in consumer behavior

Houston voices

Every business wants to read consumers' minds: what they love, what they hate. Even more, businesses crave to know about mass trends before they're visible to the naked eye.

In the past, analysts searching for trends needed to pore over a vast range of sources for marketplace indicators. The internet and social media have changed that: marketers now have access to an avalanche of real-time indicators, laden with details about the wishes hidden within customers' hearts and minds. With services such as Trendistic (which tracks individual Twitter terms), Google Insights for Search and BlogPulse, modern marketers are even privy to the real-time conversations surrounding consumers' desires.

Now, imagine being able to analyze all this data across large panels of time – then distilling it so well that you could identify marketing trends quickly, accurately and quantitatively.

Rice Business professor Wagner A. Kamakura and Rex Y. Du of the University of Houston set out to create a model that makes this possible. Because both quantitative and qualitative trendspotting are exploratory endeavors, Kamakura notes, both types of research can yield results that are broad but also inaccurate. To remedy this, Kamakura and Du devised a new model for quickly and accurately refining market data into trend patterns.

Kamakura and Du's model entails taking five simple steps to analyze gathered data using a quantitative method. By following this process of refining the data tens or hundreds of times, then isolating the information into specific seasonal and non-seasonal trends or dynamic trends, researchers can generate steady trend patterns across time panels.

Here's the process:

  • First, gather individual indicators by assembling data from different sources, with the understanding that the information is interconnected. It's crucial to select the data methodically, rather than making random choices, in order to avoid subjectively preselecting irrelevant indicators and blocking out relevant ones. Done sloppily, this first step can generate misleading information.
  • Distill the data into a few common factors. The raw data might include inaccuracies, which must be filtered out to lower the risk of overreacting or noting erroneous indicators.
  • Interpret and identify common trends by understanding the causes of spikes or dips in consumer behavior. It's key to separate non-cyclical and cyclical changes, because exterior events such as holidays or weather can alter behavior.
  • Compare your analysis with previously identified trends and other variables to establish their validity and generate insights. Looking at past performance through the filter of new insights can offer managers important guidance.
  • Project the trend lines you've identified using historical tracking data and their modeling framework. These trend lines can then be extrapolated into near-future projections, allowing managers to better position themselves and be proactive trying to reverse unfavorable trends and leverage positive ones.

It's important to bear in mind that the indicators used for quantitative trendspotting are prone to random and systematic errors, Kamakura writes. The model he devised, however, can filter these errors because it keeps them from appearing across different series of time panels. The result: better ability to identify genuine movements and general trends, free from the influence of seasonal events and from random error.

It goes without saying that the information and persuasiveness offered by the internet are inevitably attended by noise. For marketers, this means that without filtering, some trends show spikes for temporary items – mere viral jolts that can skew market research.

Kamakura and Du's model helps sidestep this problem by blending available historical data analysis, large time panels and movements while avoiding errors common to more traditional methods. For managers longing to glimpse the next big thing, this analytical model can reveal emerging consumer movements with clarity – just as they're becoming the future.

(For the mathematically inclined, and those comfortable with Excel macros and Add-Ins, who want to try trendspotting on their own tracking data, Kamakura's Analytical Tools for Excel (KATE) can be downloaded for free at http://wak2.web.rice.edu/bio/Kamakura_Analytic_Tools.html.)

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This article originally appeared on Rice Business Wisdom.

Wagner A. Kamakura is Jesse H. Jones Professor of Marketing at Jones Graduate School of Business at Rice University.

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Houston researchers make headway on affordable, sustainable sodium-ion battery

Energy Solutions

A new study by researchers from Rice University’s Department of Materials Science and NanoEngineering, Baylor University and the Indian Institute of Science Education and Research Thiruvananthapuram has introduced a solution that could help develop more affordable and sustainable sodium-ion batteries.

The findings were recently published in the journal Advanced Functional Materials.

The team worked with tiny cone- and disc-shaped carbon materials from oil and gas industry byproducts with a pure graphitic structure. The forms allow for more efficient energy storage with larger sodium and potassium ions, which is a challenge for anodes in battery research. Sodium and potassium are more widely available and cheaper than lithium.

“For years, we’ve known that sodium and potassium are attractive alternatives to lithium,” Pulickel Ajayan, the Benjamin M. and Mary Greenwood Anderson Professor of Engineering at Rice, said in a news release. “But the challenge has always been finding carbon-based anode materials that can store these larger ions efficiently.”

Lithium-ion batteries traditionally rely on graphite as an anode material. However, traditional graphite structures cannot efficiently store sodium or potassium energy, since the atoms are too big and interactions become too complex to slide in and out of graphite’s layers. The cone and disc structures “offer curvature and spacing that welcome sodium and potassium ions without the need for chemical doping (the process of intentionally adding small amounts of specific atoms or molecules to change its properties) or other artificial modifications,” according to the study.

“This is one of the first clear demonstrations of sodium-ion intercalation in pure graphitic materials with such stability,” Atin Pramanik, first author of the study and a postdoctoral associate in Ajayan’s lab, said in the release. “It challenges the belief that pure graphite can’t work with sodium.”

In lab tests, the carbon cones and discs stored about 230 milliamp-hours of charge per gram (mAh/g) by using sodium ions. They still held 151 mAh/g even after 2,000 fast charging cycles. They also worked with potassium-ion batteries.

“We believe this discovery opens up a new design space for battery anodes,” Ajayan added in the release. “Instead of changing the chemistry, we’re changing the shape, and that’s proving to be just as interesting.”

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This story originally appeared on EnergyCapitalHTX.com.

TMC med-tech company closes $2.5M series A, plans expansion

fresh funding

Insight Surgery, a United Kingdom-based startup that specializes in surgical technology, has raised $2.5 million in a series A round led by New York City-based life sciences investor Nodenza Venture Partners. The company launched its U.S. business in 2023 with the opening of a cleanroom manufacturing facility at Houston’s Texas Medical Center.

The startup says the investment comes on the heels of the U.S. Food and Drug Administration (FDA) granting clearance to the company’s surgical guides for orthopedic surgery. Insight says the fresh capital will support its U.S. expansion, including one new manufacturing facility at an East Coast hospital and another at a West Coast hospital.

Insight says the investment “will provide surgeons with rapid access to sophisticated tools that improve patient outcomes, reduce risk, and expedite recovery.”

Insight’s proprietary digital platform, EmbedMed, digitizes the surgical planning process and allows the rapid design and manufacturing of patient-specific guides for orthopedic surgery.

“Our mission is to make advanced surgical planning tools accessible and scalable across the U.S. healthcare system,” Insight CEO Henry Pinchbeck said in a news release. “This investment allows us to accelerate our plan to enable every orthopedic surgeon in the U.S. to have easy access to personalized surgical devices within surgically meaningful timelines.”

Ross Morton, managing Partner at Nodenza, says Insight’s “disruptive” technology may enable the company to become “the leader in the personalized surgery market.”

The startup recently entered a strategic partnership with Ricoh USA, a provider of information management and digital services for businesses. It also has forged partnerships with the Hospital for Special Surgery in New York City, University of Chicago Medicine, University of Florida Health and UAB Medicine in Birmingham, Alabama.

2 Houston suburbs named among 10 best places to live by U.S. News & World Report

Where to Live

The Houston suburbs of Pearland and League City have landed among the top 10 best places to live in 2025, according to U.S. News & World Report.

New for the 2025-2026 "Best Places to Live in the U.S." rankings, U.S. News expanded its coverage from 150 to 250 U.S. cities, and updated its methodology to examine each city based on five livability indexes: Quality of life, value, desirability, job market, and net migration.

Pearland ranked No. 3 nationwide, earning a 7.0 score alongside No. 1-winning Johns Creek, Georgia and No. 2 winner Carmel, Indiana.

Pearland also landed on top of U.S. News separate rankings of the best places to live in Texas for 2025-2026.

Some facts about Pearland that put it at the top of the list include its median household income ($115,504), its median home values ($319,753), and its bustling population of nearly 124,000 residents.

Housing costs in Pearland are extremely attractive compared to other places in the country, as the national average home is worth over $370,000. It's no wonder this Houston neighbor has been adding more high-income households than many other places in Texas.

Pearland's population is a healthy mix of young individuals and families, with 29 percent of residents under 20 years old and 36 percent of the population between the ages of 20-44. Nearly a quarter of Pearland's population is between 45-64-years-old, while only 12 percent of residents are over 65, the report says.

Pearland's reputation as one of the safest cities in America is also boosting its community appeal.

Pearland Pear TrailPearland's Pear-Scape Trail is a popular public art trail that residents, families, and visitors can enjoy. The sculptures are scattered all over the city.City of Pearland - Government/Facebook

"Finding a community to be part of can play a major role in making a place feel like home," U.S. News said. "If you’re a parent with young children, you may want to live in a neighborhood with other people in that phase of life. If you’re a professional moving to a hot job market for your field, you may want to live in an apartment close to the office or within walking distance of friends and colleagues."

Pearland also enjoys a better job market than other cities, the report added. Pearland's unemployment rate as of 2023 was only 3.6 percent, lower than the national average unemployment rate of 4.5 percent.

However, if people are looking for a public transportation-friendly city, they may need to look elsewhere. Almost all commuters in Pearland drive to their workplaces, making access to a vehicle absolutely necessary for living in the suburb. Pearland's 31.2-minute average commute time is also 9.2 minutes higher than the national average, U.S. News said.

Other Houston-area suburbs

League City ranked three spots behind Pearland as the 6th best place to live in the U.S., and No. 2 in Texas. The city boasts a median household income of $120,670, and affordable median home values at $327,511.

Workers in League City also predominantly rely on vehicles for their daily commutes, and only 3.7 percent of the population use public transport to get to work. Commuters spend an average time of 27.5 minutes driving to work, U.S. News determined.

More than half (63.5 percent) of all League City residents are married, and 54 percent of the population are between the ages of 25 and 64-years-old.

Here's how other Houston-area cities faired among the top 100:

  • No. 16 – Sugar Land
  • No. 44 – The Woodlands
  • No. 45 – Katy
  • No. 67 – Missouri City
  • No. 73 – Spring

Houston drops out of the top 100

Though Houston proper made substantial improvements to land among the top 100 best places to live in U.S. News' 2024-2025 report, the city has once again plummeted toward the bottom of the list for 2025-2026.

Houston slumped to No. 381 this year, and only ranked No. 63 in the statewide comparison, showing that the city has lost its charm in favor of its appealing suburban neighbors.

The top 10 best places to live in the U.S. are:

  • No. 1 – Johns Creek, Georgia
  • No. 2 – Carmel, Indiana
  • No. 3 – Pearland, Texas
  • No. 4 – Fishers, Indiana
  • No. 5 – Cary, North Carolina
  • No. 6 – League City, Texas
  • No. 7 – Apex, North Carolina
  • No. 8 – Leander, Texas
  • No. 9 – Rochester Hills, Michigan
  • No. 10 – Troy, Michigan
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This story originally appeared on CultureMap.com.