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.

------

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.

Talent optimization goes beyond human resources practices, management consulting, and productivity tooling to describe a model that empirically aligns strategy and people practices. Photo via Getty Images

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.

------

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.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Houston ranks among 15 U.S. hot spots for women in tech

Ranking It

Houston is soaring among the best places in the U.S. for women in tech, a new report says. Houston ranked No. 15 nationwide in SmartAsset's new report, "Best and Worst Cities for Women in Tech — 2026 Study," which compared the 50 biggest U.S. cities across four metrics:

  • Gender pay gap — women's median earnings as a percentage of men’s median earnings in tech
  • The share of all tech workers that are women
  • The overall concentration of employment for tech workers, defined as "tech workers as a share of the local workforce"
  • Women tech workers’ median earnings, adjusted for regional price parity
For the purpose of the study, tech workers are defined as "city residents employed in computer and mathematical occupations." The study's findings show that fewer than 9,500 tech workers in Houston are women, or 25.6 percent of the total tech workforce in the city. In total, tech workers in general make up less than 3 percent of the Houston workforce.Despite the high ranking, women tech workers in Houston have a sizeable gap to cross to receive equal pay compared to their male counterparts in the same industry. Women tech workers make just over $97,000 in median earnings after adjusting for regional price parity, which is only 93 percent of what male tech workers make, SmartAsset found.

There are only two U.S. cities where women in tech earn more than what their male counterparts: Miami and Memphis, Tennessee. Women tech workers in Miami make an adjusted $88,650 in median earnings, or 101.7 percent of what men in tech make. In Memphis, women make $84,718 in adjusted earnings, or 101.5 percent of what men in tech earn.

The findings also assert that women remain underrepresented in the nation's overall tech sector, despite making up nearly half of the total workforce. Only 22.6 percent of the country's tech labor force is made up of women, according to the Equal Employment Opportunity Commission."Opportunities for women in tech can vary considerably by location, and these differences shape access to jobs, career advancement and earning potential," the report's author wrote. "In some places, women account for a larger share of tech workers, face narrower pay gaps and enjoy a stronger local labor market. In others, they may encounter a more challenging career environmentThe six other Texas cities that earned spots in the report are Austin (No. 6), Fort Worth (No. 26), Dallas (No. 32), Arlington (No. 38), San Antonio (No. 42), and El Paso (No. 49).

The top 10 best U.S. cities for women in tech are:

  • No. 1 – San Jose, California
  • No. 2 – Seattle, Washington
  • No. 3 – San Francisco, California
  • No. 4 – Atlanta, Georgia
  • No. 5 – Baltimore, Maryland
  • No. 6 – Austin, Texas
  • No. 7 – Oakland, California
  • No. 8 – Portland, Oregon
  • No. 9 – Boston, Massachusetts
  • No. 10 – Minneapolis, Minnesota
---

This article first appeared on CultureMap.com.

5 female-founded Houston startups shine as Innovation Awards finalists

meet the finalists

Houston is home to many standout female founders, making inroads and breakthroughs in every industry.

As part of the 2026 Houston Innovation Awards, our Female-founded Business category honors women-led startups that are shaping Houston innovation.

Five female-founded businesses have been named finalists for the 2026 award. This year's finalists, selected by our esteemed panel of judges, range from an AI startup for C-Suite execs to a company developing semi-autonomous crawler robots for corrosion detection.

Read more about these innovative startups and the visionary female founders behind them below. The 2026 winners will be announced on InnovationMap.com in mid-November.

Adair

Artificial intelligence startup Adair uses computational linguistics and behavioral economics to measure, model and quantify the impact of spoken and written language on firm valuation and stock prices. The company works with C-Suite executives of public companies on high-stakes communications before they go live.

The company was founded last year by CEO Kathleen Perley, CPO Alex Duong and CTO Anthony Grivet. It raised $5.6 million earlier this year, according to its application.

ARIX Technologies

Energytech startup ARIX Technologies has developed a semiautonomous VENUS crawler robot to detect corrosion under insulation before it becomes a failure. The robots climb insulated piping in refineries, chemical plants and energy facilities to capture inspection data without removing insulation or building scaffolding. ARIX's inspection portal then turns information from the inspection into data a company can act on.

ARIX was founded in 2017 by Dianna Liu, who serves as director, and Head of Product Petter Wehlin. Craig Malloy serves as CEO. The company has raised more than $22 million in seed funding and a Series A round, according to its application.

Bairitone Health

Healthtech startup Bairitone Health is bringing anatomy imaging for sleep apnea to the home environment. The company's platform maps users' anatomy during natural sleep using a facial patch to determine the root cause of airway obstruction. It then offers effective therapies for each patient.

The company was founded in 2022 in the Texas Medical Center's Biodesign program by CEO Meagan Pitcher, CTO Onur Kilic and chief medical officer Britt Cross. It was a member of Activate Houston's inaugural cohort and has participated in numerous accelerators and incubators. The company raised an oversubscribed seed round for $2.4 million earlier this year and received Breakthrough Device Designation from the Food and Drug Administration in April.

FlowCellutions

Energytech startup FlowCellutions is developing a chemistry-agnostic diagnostics platform for flow and metal-air batteries supporting data centers and critical infrastructure. The platform is designed to help reduce operating costs, prevent failures and costly downtime, and extend battery lifetime from approximately seven years to more than 30 years. It has deployed four paid pilots and plans to take insights from the programs to develop its next-gen sensor platform technology.

CEO Becca Segel founded the company in 2022. It is a member of Greentown Labs, and Segel was a 2025 Activate Fellow. The company has raised over $2 million in non-dilutive funding and received a $1.5 million NSF SBIR Fast-Track award earlier this year.

ParaDocs Health

Healthtech startup ParaDocs Health is developing a clinical intelligence platform that helps doctors and care teams streamline administrative tasks and make better use of patient records. Its technology organizes fragmented clinical data into actionable insights, helping care teams identify gaps in care, assess patient risks and simplify documentation and reimbursement.

ParaDocs was founded in 2022 by CEO Dr. Dhini Nasution and CTO Dr. Omar Mohtar. The company participated in the TMCi Biodesign Program and raised a preseed round last year, according to its application.