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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Who are Houston's top innovators? Nominate now for 2026 Houston Innovation Awards

Calling All Innovators

Calling all Houston innovators: The 2026 Houston Innovation Awards, presented by InnovationMap, return this fall to celebrate the best and brightest in the Houston innovation ecosystem right now.

We're asking you to nominate Houston's top innovators and startups for this year's awards. Nominations are open now through August 27 and can be made on behalf of yourself, your organization, and other influential leaders in the local innovation scene.

The annual awards program recognizes the most innovative individuals and companies in Houston across 10 prestigious categories.

This year's awards will honor the following categories:

Minority-founded Business, honoring an innovative startup founded or co-founded by BIPOC or LGBTQ+ representation.
Female-founded Business, honoring an innovative startup founded or co-founded by a woman.
Energy Transition Business, honoring an innovative startup providing a solution within renewables, climatetech, clean energy, alternative materials, circular economy, and beyond.
Health Tech Business, honoring an innovative startup within the health and medical technology sectors.
Deep Tech Business, honoring an innovative startup providing technology solutions based on substantial scientific or engineering challenges, including those in the AI, robotics, and space sectors.
Startup of the Year (People's Choice), honoring a startup celebrating a recent milestone or success. The winner will be selected by the community via an interactive voting experience.
Scaleup of the Year, honoring an innovative later-stage startup that's recently reached a significant milestone in company growth.
Incubator/Accelerator of the Year, honoring a local incubator or accelerator that is championing and fueling the growth of Houston startups.
Mentor of the Year, honoring an individual who dedicates their time and expertise to guide and support budding entrepreneurs.
Trailblazer, honoring an innovator who's made a lasting impact on the Houston innovation community.

You have three weeks to submit nominees, so don't delay — nominate today at this link or fill out the form below. Qualified nominees will receive a formal application to complete, which will be reviewed by our esteemed panel of judges to determine the finalists and winners.

More announcements about the 2026 Houston Innovation Awards are coming soon, including an introduction to this year's panel of judges. Interested in sponsoring the 2026 Houston Innovation Awards? Please contact sales@innovationmap.com.

KBR unveils name, branding for new government services spinoff

new identity

Houston-based KBR Inc.'s new Mission Technology Solutions unit officially has a name.

The previously announced government services spinoff, which until now has been nicknamed SpinCo, will now be known as Trinzic. The company said in a news release that the name was inspired by the word intrinsic, "reflecting essential, built-in capabilities and deep expertise operating in some of the world’s most complex and mission-critical environments."

New York-based firm Siegel + Gale developed the company's new brand. In addition to the new name, the company shares that its new logo will feature a stylized letter N, with brand colors in orange and gray.

“Trinzic represents who KBR Mission Tech has always been at our core: an essential partner bringing innovation and trusted execution to the missions that matter most,” Stuart Bradie, KBR President and CEO, said in the release. “The new Trinzic brand represents both our strong heritage and the tremendous opportunity ahead. Our teams aim to deliver solutions that address some of the world’s most critical national priorities every day, and this new identity captures the purpose-driven culture and mission focus that we expect to continue to define the company moving forward.”

KBR expects the spin-off to be completed in January 2027. At that time, Trinzic will operate as an independent, publicly traded company that will focus on technology and engineering services for the space and national security sectors.

KBR will remain a separate publicly traded company that will focus on sustainable technology and services to support the energy transition. KBR first announced the spinoff plans in October 2025.

Last month, KBR announced two C-suite hires for Trinzic, or what was then known as SpinCo.

Michael LaRouche will serve as Trinzic's inaugural president and CEO. LaRouche is currently CEO of Serco North America, a Virginia-based government services contractor. Nicholas Veasey, current CFO of Virginia-based MAG Aerospace, was named Trinzic's CFO. Bradie will remain chairman, president and CEO of KBR.

Rice lands $19 million grant to build AI-driven quantum materials lab

Quantum Boost

Rice University has received a $19.9 million award from the National Science Foundation to increase the production of quantum and electronic materials by using a combination of artificial intelligence, cloud-based labs and robotics.

The four-year project will create a remote and automated research platform that aims to accelerate discovery and the testing process, according to Rice. The aptly titled project, "Revolutionizing AI-Driven Autonomous Experimentation for Next-Generation Semiconductor Synthesis” (READINESS), will be led by Rice materials scientist Jun Lou, who serves as principal investigator. SUNY Polytechnic Institute and the University of Texas at Austin will collaborate with Rice on the project.

At first, READINESS will focus on two-dimensional materials, oxide semiconductors and diamond thin films that can support emerging technologies, like quantum devices.

READINESS is one of 20 projects selected for the NSF's Programmable Cloud Laboratories Test Bed initiative, which aims to provide more U.S. researchers with access to automated scientific tools.

Additionally, the project aligns with the Department of Energy’s Genesis Mission, which recently selected four projects from Houston universities and companies, including two from Rice. The national initiative aims to unite government, industry, academia and philanthropy to lead to breakthroughs in energy, scientific discovery and national security.

READINESS will offer more advanced lab systems remotely via a cloud interface to assist startups, other research groups, and companies that don’t have the resources, staffing or equipment to produce quantum materials and advanced electronics. READINESS will also allow researchers to simulate experiments via virtual experiments or digital twins before they conduct the physical experiment.

Rice says this will be particularly useful in quantum materials research, which is often met with barriers— like the adjustments of chemical composition, gas flow, pressure, and temperature—that can change the properties of a material.

“This project will give researchers access to capabilities that have traditionally been available only in a handful of laboratories,” David Sholl, executive vice president for research at Rice, said in a news release. “By lowering those barriers, READINESS can accelerate discovery and expand who can participate in cutting-edge materials research.”

Additionally, the project’s AI aspect will offer recommendations for new tests, recognize safety limits and analyze results to assist researchers.

“Responsible AI should complement researchers’ capabilities rather than replace their judgment,” Luay Nakhleh, Dean of Rice’s George R. Brown School of Engineering and Computing, added in the release. “READINESS embodies this principle by combining automated systems with transparency, safeguards and human oversight at critical decision points.”

READINESS’ lab will be based out of Rice’s Ralph S. O’Connor Building for Engineering and Science. Partner sites will also contribute equipment, expertise and workforce development programs, according to Rice.

Ultimately, READINESS aims to elevate the speed, reliability and reproducibility of experiments, and to promote access to automated scientific tools for U.S. researchers.

“Our goal is to create a laboratory that researchers from across the country can use to produce advanced electronic and quantum materials on demand,” Lou added in the release. “By integrating robotics, AI and digital twins, we aim to learn from every experiment and shorten the pathway from scientific discovery to practical technology.”

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