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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Texas still ranks as No. 1 in U.S. for inbound moves, but growth dips

by the numbers

Texas continues to be the country’s No. 1 magnet for newcomers from other states, giving a boost to the state’s economy. However, Texas’ appeal weakened in 2024 compared with the previous year, due in large part to spiking home prices.

An analysis of U.S. Census Bureau data by self-storage platform StorageCafe shows Texas saw net interstate migration of 76,000 people in 2024. Texas’ net interstate migration dropped nearly 50 percent from 2023, according to the analysis. Net migration refers to the number of incoming residents minus the number of outgoing residents.

California remained the top source of newcomers for Texas, sending nearly 77,000 residents to the Lone Star State in 2024, the analysis says. Florida ranked second, followed by New York, Colorado and Illinois.

“These trends reveal Texas’ continued pull from both high-cost coastal markets and other large Sun Belt states, resulting in a mix of affordability-driven and job-driven relocation,” StorageCafe says.

Putting a damper on the influx of new residents: a roughly 124 percent surge in Texas home prices over the past decade, according to StorageCafe.

“While the state remains significantly more affordable than California, its top feeder state, the once-wide pricing gap has narrowed,” says StorageCafe. “For many movers, Texas is still a relative bargain, but no longer an undisputed one.”

Nonetheless, Texas keeps attracting young, highly educated people, which bodes well for the state’s long-term economic outlook, StorageCafe says. More than half of new arrivals to Texas in 2024 held at least a bachelor’s degree, and the age of newcomers averaged 32.

Where are most of these young, highly educated newcomers settling?

Lloyd Potter, former Texas state demographer, tells StorageCafe that population growth in Texas is happening most rapidly in suburban “ring counties” at the expense of slowing growth in urban cores. Ring counties are on the outskirts of major metro areas.

“Many people are moving from urban cores to suburban rings seeking lower costs, newer housing, better schools, and more space,” Potter says. “Typically, a move to a suburban county will be within commuting or hybrid‑commuting distance of major metro economies.”

Artemis II makes historic call to space station with help from Houston Mission Control

History in the making

Still aglow from their triumphant lunar flyby, the Artemis II astronauts made more history Tuesday, April 7: calling their friends aboard the International Space Station hundreds of thousands of miles away as they headed home from the moon.

It was the first moonship-to-spaceship radio linkup ever. NASA's Apollo crews had no off-the-planet company back in the 1960s and 1970s, the last time humanity set sail for deep space.

"We have been waiting for this like you can’t imagine,” Artemis II commander Reid Wiseman called out.

For Christina Koch on Artemis II and Jessica Meir aboard the space station, it marked a joyous space reunion despite being 230,000 miles (370,000 kilometers) apart. The two teamed up for the world's first all-female spacewalk in 2019 outside the orbiting lab.

Koch told her “astro-sister” that she'd hoped to meet up with her again in space “but I never thought it would be like this — it's amazing.”

“I'm so happy that we are back in space together,” Meir replied, “even if we are a few miles apart.”

Houston's Mission Control arranged the cosmic chitchat between the four lunar travelers and the space station's three NASA and one French residents.

Koch described being awe-struck by not just the beauty of Earth, “but how much blackness there was around it.”

“It just made it even more special. It truly emphasized how alike we are, how the same thing keeps every single person on planet Earth alive,” she told the space station crew. “The specialness and preciousness of that really is emphasized” when viewing the home planet from the moon.

By late Tuesday afternoon, the Artemis II astronauts had beamed back more than 50 gigabytes' worth of pictures and other data from the previous day's lunar rendezvous, which set a new distance record for humanity. The highlight: an Earthset photo reminiscent of Apollo 8's Earthrise shot from 1968.

"While they are inspirational and, I think, allow all of us to really feel a little bit of what they were feeling, there's also a lot of science hidden inside of those images," said Mission Control's lead lunar scientist Kelsey Young. “The conversations and the science lessons learned are just beginning."

During a debriefing with Young, the astronauts recounted how they spotted a cascade of pinpricks of light on the lunar surface from impacting cosmic debris. The flashes lasted mere milliseconds and coincided by chance with Monday evening's total solar eclipse.

Young said it was too soon to know whether the crew witnessed an actual meteor shower or more random, run-of-the-mill micrometeoroid hits. Either way, there were “audible screams of delight” in the science operations center, she said.

Koch described being awe-struck by not just the beauty of Earth, “but how much blackness there was around it.”

The first lunar explorers since Apollo 17 in 1972, Wiseman and his crew are aiming for a splashdown off the San Diego coast on Friday to wrap up the nearly 10-day test flight. The recovery ship USS John P. Murtha left port Tuesday for the target zone.

It sets the stage for next year's Artemis III, a lunar lander docking demo in orbit around Earth. Artemis IV will follow in 2028 with two astronauts attempting to land near the lunar south pole.

As for the Orion capsule’s pesky potty, Mission Control assured the astronauts that no maintenance was required Tuesday. The toilet has been on-and-off limits to the crew ever since last week’s launch, prompting them to rely on a backup bag-and-funnel system for urinating.

NASA Administrator Jared Isaacman told the crew following the lunar flyby Monday night: “We definitely have to fix some of the plumbing” ahead of the next Artemis mission. Engineers suspect a clogged filter in the overboard flushing system.

Aside from the toilet and other relatively minor matters, the mission has gone well, Isaacman noted at a news conference Tuesday, “but I'll breathe easier when we get through reentry and everybody's under chutes and in the water.”

AI-powered Houston startup helps restaurants boost customer loyalty

order up

It’s no secret that restaurant trends move fast and margins run thin. And with the proliferation of platforms like Uber Eats, DoorDash and Easy Cater, customer loyalty is fleeting.

The solution?

How about an AI-powered restaurant technology platform that helps restaurant brands cut back on third-party platforms in favor of driving direct discovery, conversion and loyalty?

Enter Saivory. Founded in 2025 by Stephen Klein, a software investor, and Fajita Pete’s restaurateur Hugh Guill, the Houston-based startup aims to help eateries better understand and activate guest behavior across digital channels as AI increasingly reshapes how consumers discover and engage with brands.

In less than a year, Saivory has partnered with Shipley Do-Nuts and Fajita Pete’s to bring AI-powered ordering to life.

“With Saivory, we were able to answer the question of, ‘what if the ordering process could be reduced to a single step, where customers simply tell us what they want and AI takes care of the rest?’” Klein tells InnovationMap.

The Houston-based startup made such an immediate impact that it was selected as a semi-finalist during Start-Up Alley at MURTEC , the restaurant industry’s leading technology conference, which took place last month in Las Vegas.

“Houston is a great hub for technology innovation, and we were proud to represent the city at MURTEC this year,” says Klein. “We didn’t win, but we were able to talk about some of the work that we have existing in the market for clients right now and a little bit about what we’re working on in the future.”

In the current restaurant technology ecosystem, the third-party aggregators own the customer attention that brings volume to restaurants, while also taking big commissions and having control over the end relationships with the customer.

That can often make it difficult for restaurants to grow loyalty and repeat business from customers. Saivory aims to level the playing field for restaurants, helping them stay more connected to their customers.

Take Saivory’s recent application with Shipley’s Do-Nuts, for example.

Saivory powered the donut giant’s AI-ordering and launched Shipley's website and mobile app to support its over 300 locations in Texas alone.

Shipley’s new AI-powered assistant helps users create personalized order recommendations based on individual or group preferences. And unlike standard chatbox features, the new assistant makes custom recommendations based on multiple customer factors, including budgetary habits, individual flavor preferences and order size. It can also be used for large catering orders.

“They're seeing more traffic to the site and they're seeing when customers use our AI-enabled flows,” Klein says. “And they're seeing higher basket sizes, bigger tickets, by about 25 percent.”

Klein says Saivory’s technology helps strengthen first-party digital relationships, reduce friction and cart abandonment, improve average order value, and delivers personalized, efficient experiences.

“It’s a win-win: the customer gets the right order quickly, while the restaurant gets a bigger margin,” he adds.

Additionally, the technology makes it easier for restaurants to share rewards, loyalty and discounts, ultimately growing more direct traffic and making restaurants less reliant on third-party delivery apps.

Next up for Saivory is adding new components to its platform to enhance the relationship between restaurant and customer, as well as technology around making it easier for restaurants to get found on Google.

“A lot of people are still searching for the best donuts near me,” Klein says. “Or what’s the best Mexican food near me? Customers will increasingly move to AI, where they’re going to ask where they should eat dinner and expect it to just order them dinner. They will eventually expect the technology to know how to do that. So that’s what we’re driving at.”

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