Houston expert looks into behavioral analytics in private equity, growth equity, and venture capital

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The larger the deal, the higher the chances of failure, says this Houston expert. Photo via Getty Images

Study after study puts the failure rate of mergers and acquisitions somewhere between 70 percent and 90 percent (2011, HBR). One KPMG study narrowed the band of M&A failures to 75 percent to 83 percent (2015, KPMG). One constant in the research is that the larger the deal, the higher the chances of failure.

A FAILED MERGER, ACQUISITION, OR DIVESTITURE CAN BE UNDERSTOOD IN 2 WAYS:

Qualitative – what the companies had in mind that caused them to merge in the first place doesn't work out that way in the end.
Quantitative – shareholders suffer because operating results deteriorate instead of improve.

Deloitte's M&A Trends 2020 reports that 38 percent of PE firms cite revenue and growth improvement strategies as their primary strategy or focus area for driving value in their portfolio companies.

In the same report, EFFECTIVE INTEGRATION is key for the success of the deal. It accounts for 20 percent of a successful transaction, tied for top place with ACCURATELY VALUING A TARGET.

Post-M&A integration is defined as the implementation of changes in functional activities, organizational structures, and cultures of the two organizations to expedite their consolidation into a functional whole. Of course, this all involves people.

Moreover, Aon Hewitt research shows that:

There is a 23 percent increase in "actively disengaged employees" after a change event – even if no one's job is affected.
It takes about three years to return to pre-merger engagement levels.

With these figures, it is startling that there is not more focus on talent. Executives attribute 72 percent of their company's value to their employees, yet a mere 12 percent of companies align their talent strategy with their business strategy (Predictive Index, The 2020 State of Talent Optimization).

HOW ARE INVESTORS IN THE PRIVATE MARKET CHANGING THE TIDE?

According to Mike Zani, CEO of The Predictive Index, "When you look at the world of PE, growth equity, and to a lesser extent, VC, we are starting to see more talent officers, someone on staff to assist with strategic HR challenges with their portfolio." For example, Vista Equity has a consulting division that is solely focused on the talent and people analytics of its portfolio companies. They go beyond just finding the right executives, they have proprietary analytics tools to add value.

THERE ARE THREE USE CASES FOR ANALYTICS WITHIN THE PRIVATE MARKET:

1. Due Diligence

"One of the most powerful ways behavioral analytics are used for due diligence is understanding the strengths and blind spots of the future leadership team. It's about applying analytical rigor to the people side of the business to create a nuanced understanding of individual and team dynamics so you can be intentional about how to enable and de-risk the execution of future growth plans. We surface people challenges and opportunities early in the process so our clients can put strategies in place for effective change management and talent optimization." Heather Haas, President, ADVISA.

After signing a letter of intent, a consultant can assess the leadership team with behavioral, cognitive, and organizational assessments. In the process of evaluating leadership fit, consultants may identify gaps between the leadership abilities needed and those present in the executive team, and investors must focus attention on closing those gaps. It is much easier to suggest fixing them before the deal is closed, where investors can work with the company to create leadership development or hiring plans. If investors discover that the executive team lacks financial or operational excellence 6 months after close, it is going to be much harder to communicate that in a positive, forward-looking way.

Predictive Index isn't the only tool used for due diligence. Specialty consulting firms that provide due diligence support with people analytics include GH Smart, Green Peak Partners, Korn Ferry, and Deloitte. They use a host of tools ranging from Hogan assessments to proprietary software. "Out of the 150 PE clients with The Predictive Index," Zani says "about 1/3 are using it in due diligence regularly."

2. Post-Deal Value Creation

Effective M&A integration accounts for 20 percent of the success of a deal. As I mentioned in the last post, behavioral analytics can provide insights that allow each person to easily understand how their new team members are wired. This can drastically reduce the time it takes to build cohesion among the group and make for more effective collaboration as project teams are regularly assembled and reassembled. Put simply, instead of using our energy to try to figure each other out, we cut through the noise so we can run faster.

3. Scale

The use of behavioral analytics for hiring is nothing new. With an infusion of cash, one of the first thing a company does in response to growth goals is to hire. People data can help companies scale quickly and with confidence. Max Yoder, CEO and Founder of Lessonly shares about Predictive Index, "Now, every time we hire, we use the assessments as another tool in our toolkit. The results will never decide whether a person gets hired or not, but they do provide guidance as to whom should be in sales, whom should be in client experience, whom should sit in a quiet space, and whom thrives on commotion."

Even with such impressive results, still there are two schools of thought when it comes to how much control private market firms want to have over the operations of their portfolio companies. General Catalyst, the PE firm that invested in Predictive Index, in particular, says they don't want to be the management team. Kirk Arnold, Executive In Residence, General Catalyst says "We're very founder supportive. We invest in entrepreneurs and innovators and work to support them. We share feedback and insights with those teams – and encourage them to The Predictive Index toolset to help them scale effectively. But we don't force any of our teams to invest in any particular tool or strategy. We believe great businesses are built by great teams, and we believe that PI can help companies excel in team building – but we look to the leadership team to make those investment decisions based on their needs and culture.

Prior to becoming a Predictive Index Consultant, I spent five years integrating acquisitions. I only had access to PI for the very last year. It was so powerful in building dream teams that I wished I had known about it sooner. Areas I used PI heavily was in post-deal value creation as well as scaling. In my current practice, I spend about 20 percent of my time performing due diligence for start-ups as well as working with them to round out their team from a data-driven perspective.

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This article was written by Wendy Fong, founder and principal of Chief Gigs, and originally appeared on Liu Idea Lab for Innovation & Entrepreneurship's blog.

Houston expert: Finding your tech talent through analytics

Houston Voices

You know the work that needs to get done, and you know the environment that you want to build. How do you find the people who will build it with you? Historically, we relied on relationships, intuition, and track record when we evaluate potential team members. This is the same approach we use to find our mates, and well, the divorce rate speaks for itself.

Perhaps you know your potential partner from a previous job when you both worked for a public company, and they were a high performer. Even when we have worked with someone before and they had a great track record, things can go awry. Humans are messy beings. When factors that affect motivation (such as equity percentages, the potential for exit, working 80-plus hours a week) change, performance can be affected. The people who do really well as a cog in the wheel do not necessarily have the same drive to BUILD the wheel. So how do we pick the team members who will best suit the work and environment?

Did you know that 95 percent of people think they're self-aware, yet only 10 to 15 percent actually are (Tasha Eurich)? If people don't know themselves, how can you possibly know your potential partner's fit?

Behavioral assessments aren't new. If you've ever worked for a large company, you've likely taken one. What is different now is that The Predictive Index is harnessing the power of behavioral analytics to predict success and help us visualize teams in a whole new way. We can now look at people's work style in under 6 minutes and quickly give you data on how people will perform in their role and with your team to drive alignment in your organization.

As a founding board member and active investor in Valhalla Investment Group, we recently implemented the practice of using behavioral analytics in our due diligence. We then look at individual and team results to identify any gaps between strategy and the team's ability to execute the strategy. We specifically look at a team's appetite for risk, approach to change, and response to pressure.

The results for one startup we were evaluating came back with a potential red flag. Five of the six in the executive team were exploring leaders in the "Innovation and Agility" quadrant. These leaders are independent and comfortable with risk. We had one who was a very strong stabilizing leader in the "Process and Precision" quadrant. This person is very precise and cautious with risk. We immediately reached out to the CEO to schedule a Zoom to ask how the team works with what could be seen as an "outlier" and how they deal with the friction. The CEO understood the strengths and cautions of his team and explained that while this person is different, they are very much needed. They provide balance and contribute to areas that are blind spots for the rest of the team. The way the CEO handled the question showed us that he was self-aware enough to manage such differences and gave us the confidence to invest in this startup.

HOW IS THIS RELEVANT FOR YOUR STARTUP?

Founders

Wouldn't it be great to know potential partners' appetite for risk, how they deal with deadlines, their proactivity or reactivity to issues before you meet them? Or how they respond to pressure? Founding partners can be evaluated to ensure their behavioral drives align with the startup strategy.

For example, if the strategy is to fail fast to obtain product-market fit and grow market share quickly, founders would need to be innovative, risk-tolerant, comfortable with ambiguity, and they'd need to thrive under pressure. Conversely, if your startup serves a highly regulated environment, your founding team needs to be well-organized, careful with rules, and cautious with risk.

Team dynamics and inclusivity

Without insight into team dynamics, results are left to chance. Behavioral analytics can provide insights that allow each person to easily understand how their new team members are wired. This can drastically reduce the time it takes to build cohesion among the group and make for more efficient and effective collaboration as project teams are regularly assembled and reassembled. Put simply, instead of using our energy to try to figure each other out, we cut through that noise so we can run faster.

Lastly, by creating a job profile and looking for candidates who fit the profile, we can cut out the biases that relationship-based recruiting can introduce to an organization.

"The alignment of business strategies and talent strategies is known as talent optimization."

Talent optimization goes beyond human resources practices, management consulting, and productivity tooling to describe a model that empirically aligns strategy and people practices. It weaves talent improvement practices into the everyday workings of a company to nurture and employ a workforce that is specifically calibrated to the company's strategic objectives. The sooner we utilize people data to look at our organization, the sooner we can spot potential blind spots. Leaders can then address the issues and focus on what's most important for their startup.

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This article was written by Wendy Fong, founder and principal of Chief Gigs, and originally appeared on Liu Idea Lab for Innovation & Entrepreneurship's blog.

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Rice Brain Institute awards seed grants for dementia, Alzheimer’s research

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The recently established Rice Brain Institute awarded 12 seed grants last month to support research on dementia, Alzheimer’s disease, Parkinson’s disease and other neurological disorders.

The grants are part of the Rice DPRIT Seed Grant Program, which aims to help faculty members generate preliminary data, test and teams that would be supported under the Dementia Prevention and Research Institute of Texas.

The DPRIT was approved last year to provide $3 billion in state funding over a 10-year span for research on dementia prevention and other neurological conditions. It will be modeled after the Cancer Prevention and Research Institute of Texas (CPRIT), which has awarded nearly $4 billion in grants since 2008.

“DPRIT is a historic initiative with transformative impact potential and at Rice we are very well equipped to contribute to its mission and help make Texas a leader in brain health and innovation,” Behnaam Aazhang, a Rice professor of electrical and computer engineering and director of the Neuroengineering Initiative and the RBI, said in a news release.

The Rice DPRIT Seed Grant Program is supported by the RBI and the Educational and Research Initiative for Collaborative Health (ENRICH) office at Rice. Most of the funding came from Rice's Office of Research, with a contribution from Rice's Amyloid Mechanism and Disease Center, which also launched last year.

A number of the teams include collaborators from Houston's Texas Medical Center, including Baylor College of Medicine, University of Texas Medical Branch and the McGovern Medical School at UTHealth Houston.

The 12 teams are:

Keya Ghonasgi, assistant professor of mechanical engineering at Rice. Ghonasgi's research addresses the high risk of falls among people with different types of dementia and aims to develop a personalized, home-based fall-prevention approach using textile-integrated wearable sensors.
Luz Garcini, associate professor of psychological sciences at Rice, and Hannah Ballard, associate director of community and public health at the Kinder Institute for Urban Research at Rice. Garcini and Ballard's research looks at barriers and facilitators to early detection of Alzheimer’s disease in diverse, medically underserved urban communities and focuses on populations that experience late diagnosis, including Hispanic/Latino groups.
Lei Li, assistant professor of electrical and computer engineering at Rice, and Pablo Valdes, assistant professor of neurosurgery at UTMB. Li and Valdes' project develops a noninvasive, bedside imaging approach to monitor brain blood flow and oxygenation in patients recovering from stroke or brain surgery using photoacoustic imaging through a specialized transparent skull implant.
Cameron Glasscock, assistant professor of biosciences at Rice. Glasscock's project addresses repeat expansion disorders, such as Huntington’s disease and myotonic dystrophy, and focuses on stopping DNA instability before repeats reach a disease-causing threshold.
Raudel Avila, assistant professor of mechanical engineering at Rice. Avila's project focuses on everyday health factors such as nutrition, hydration and brain blood flow and how they influence brain aging long before symptoms of dementia appear.
Isaac Hilton, associate professor of bioengineering at Rice, and Laura Lavery, assistant professor of biosciences at Rice. Hilton and Lavery's project uses precise CRISPR-based gene regulation to target multiple genetic drivers of neuronal damage in Alzheimer’s.
Quanbing Mou, assistant professor of chemistry at Rice, and Qing-Long Miao, assistant professor of neurology at Baylor College of Medicine. Mou and Miao's project aims to develop a gene-regulation therapy for childhood absence epilepsy by restoring activity of the CACNA1A gene.
Momona Yamagami, assistant professor of electrical and computer engineering at Rice, and Christopher Fagundes, professor of psychological sciences at Rice. Yamagami and Fagundes' project addresses the physical and mental health challenges faced by spouses caring for partners with Alzheimer’s disease and related dementias and aims to develop algorithms to determine the optimal timing and frequency of supportive text messages.
Han Xiao, professor of chemistry at Rice. Xiao's project aims to improve the delivery of antibody therapies to the brain using a noninvasive, light-based approach that temporarily opens the blood–brain barrier.
Lan Luan, associate professor of electrical and computer engineering at Rice. Luan's project investigates how tiny blood-vessel injuries in the brain, known as microinfarcts, contribute to dementia.
Natasha Kirienko, associate professor of biosciences at Rice. Kirienko's project targets a shared cause of neurodegeneration, impaired mitochondrial cleanup, and aims to identify an existing antidepressant that could be repurposed to protect neurons in diseases like Alzheimer’s and Parkinson’s.
Harini Iyer, assistant professor of biosciences at Rice. Iyer's project will observe zebrafish to investigate how the brain’s primary immune cells become improperly activated in neurological disorders, leading to the loss of healthy neurons and cognitive impairment.

The RBI also named the first four projects to receive research awards through the Rice and TMC Neuro Collaboration Seed Grant Program in January. Read more about those projects here.

Report: These 10 jobs earn the biggest salary premiums in Texas

A move to Texas bolsters earnings for some, and a new SmartAsset study has revealed the top professions where the median annual earnings in the Lone Star State exceed the national median.

The report, "When it Pays to Work in Texas — and When It Doesn’t," published in April, analyzed over 700 occupations to determine which have the biggest "Texas premium" — meaning jobs where the price-adjusted median annual pay in Texas most exceeds the national median for the same occupation — and which jobs have the biggest “Texas penalty,” where the statewide median annual pay falls furthest below the national median. Salaries were sourced from the U.S. Bureau of Labor Statistics (BLS) and adjusted for regional price parity.

According to the report's findings, geoscientists have the biggest "Texas premium" and make a $159,903 median annual salary. Texas' salary for geoscientists is 61 percent higher than the national median for the same position (after adjusting for regional price parity).

"Texas’s large petroleum industry helps explain why employers in the state retain so many geoscientists," the report's author wrote. "In fact, the Lone Star State is home to more geoscientists than any other state except California."

There are more than 3,600 geoscientists working in Texas, SmartAsset said.

These are the remaining top 10 occupations with the biggest "Texas premiums" (salaries are price-adjusted):

No. 2 – Commercial pilots: $167,727 median Texas earnings; 37 percent higher than the national median
No. 3 – Sailors: $67,614 median Texas earnings; 36 percent higher than the national median
No. 4 – Aircraft structure assemblers: $83,519 median Texas earnings; 35 percent higher than the national median
No. 5 – Ship captains: $108,905 median Texas earnings; 27 percent higher than the national median
No. 6 – Nursing instructors (postsecondary): $100,484 median Texas earnings; 26 percent higher than the national median
No. 7 – Tax preparers: $63,321 median Texas earnings; 25 percent higher than the national median
No. 8 – Chemists: $104,241 median Texas earnings; 24 percent higher than the national median
No. 9 – Health instructors (postsecondary): $128,680 median Texas earnings; 22 percent higher than the national median
No. 10 – Engineering instructors (postsecondary): $129,030 median Texas earnings; 22 percent higher than the national media

The careers where Texas workers earn less

SmartAsset said an editor is the Texas profession where workers earn the furthest below the median for the same occupation elsewhere in the U.S. Not to be confused with film and video editors, BLS defines editors as those who "plan, coordinate, revise, or edit written material" and "may review proposals and drafts for possible publication."

The study found editors make a price-adjusted median wage of $29,710, which is 61 percent lower than the national median for the same position, and there are nearly 8,200 editors in Texas.

It's worth noting that the salaries for editors may be skewed by the fact that there are not major publications in rural areas of Texas, and other professions may also have financial deviations for similar reasons.

Several healthcare jobs also appear to have the worst penalties in Texas compared to elsewhere in the country. Home health aides are the second-worst paying professions in the state, making a median wage of $24,161.

"More home health aides work in Texas than in nearly any other state, with only California and New York employing more," the report said. "However, the more than 300,000 Texans in this occupation earn median annual pay that is about 31 percent below the national median, after adjusting for regional price parity.

SmartAsset clarified that pay penalties are not consistent "across the board" for other healthcare occupations in Texas.

"For physical therapy assistants, occupational therapy assistants, and postsecondary nursing instructors, Texas may be an especially strong place to work, with these occupations offering 'Texas premiums' of between 17 percent and 26 percent," the study said.

These are the remaining top 10 occupations where median annual earnings in Texas fall furthest below the national median for the same occupation:

No. 3 – Cardiovascular technicians: $49,382 median Texas earnings; 27 percent lower than the national median
No. 4 – Semiconductor processing technicians: $38,295 median Texas earnings; 25 percent lower than the national median
No. 5 – Tutors: $30,060 median Texas earnings; 25 percent lower than the national median
No. 6 – Control and valve installers: $56,496 median Texas earnings; 24 percent lower than the national median
No. 7 – Mental health social workers: $46,109 median Texas earnings; 23 percent lower than the national median
No. 8 – Clinical psychologists: $74,449 median Texas earnings; 22 percent lower than the national median
No. 9 – Producers/directors: $65,267 median Texas earnings; 22 percent lower than the national median
No. 10 – Interpreters/translators: $46,953 median Texas earnings; 21 percent lower than the national median

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This article originally appeared on CultureMap.com.

Houston rises in 2026 ranking of best U.S. cities to start a business

Best for Biz

Houston has reaffirmed its commitment to a business-friendly environment and now ranks as the 26th best large U.S. city for starting a business in 2026. The city jumped up eight places after ranking 34th last year.

WalletHub's annual report compared 100 U.S. cities based on 19 relevant metrics across three key dimensions: business environment, access to resources, and costs. Factors that were analyzed include five-year business survival rates, job growth comparisons from 2020 and 2024, population growth of working-age individuals aged 16-64, office space affordability, and more.

Florida cities locked out the top five best places in America for starting a new business: Tampa, Orlando, Jacksonville, Hialeah, and St. Petersburg.

Houston's business environment ranked as the 19th best in the country, and the city ranked 51st in the "business costs" category. However, the city lagged behind in the "access to resources" ranking, coming in at No. 72 overall. This category examined metrics such as Houston's working-age population growth, the share of college-educated individuals, financing accessibility, the prevalence of investors, venture investment amounts per capita, and more.

"From the Gold Rush and the Industrial Revolution to the Internet Age, periods of innovation have shaped our economy and driven major societal progress," the report's author wrote. "However, the past few years have been particularly challenging for business owners in the U.S., due to factors such as the COVID-19 pandemic, the Great Resignation and high inflation."

Earlier this year, WalletHub declared Texas the third-best state for starting a business in 2026, and several Houston-area cities have seen robust growth after being recognized among the best career hotspots in the U.S. Entrepreneurial praise has also been extended to five local companies that were named the most innovative companies in the world, and six powerhouse female innovators that made Inc. Magazine's 2026 Female Founders 500 list.

Texas cities with strong environments for new businesses
Multiple cities in the Dallas-Fort Worth Metroplex can claim bragging rights as the best Texas locales for starting a new business. Dallas ranked highest overall — appearing 11th nationally — and Irving landed a few spots behind in the 16th spot. Arlington (No. 23), Fort Worth (No. 30), Plano, (No. 35), and Garland (No. 65) followed behind.

Only six other Texas cities earned spots in the report: Austin (No. 24), Lubbock (No. 36), Corpus Christi (No. 39), San Antonio (No. 64), El Paso (No. 67), and Laredo (No. 76).

Austin tied with Boise, Idaho and Fresno, California for the highest average growth in the number of small businesses nationally, while Corpus Christi and Laredo topped a separate list of the U.S. cities with the most accessible financing.

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