A product management expert shares how artificial intelligence is affecting the process for the tech and startup worlds. Photo via Getty Images

For the past 14 months, everyone has been talking about ways artificial intelligence is changing the world, and product management is not an exception. The challenge, as with every new technology, is not only adopting it but understanding what old habits, workflows, and processes are affected by it.

Product managers — as well as startup founders leading a product function — more than any other role, face a challenge of bringing new life-changing products to market that may or may not be received well by their users. A product manager’s goal is complex — bring value, stay ahead of the competition, be innovative. Yet, the "behind the scenes" grind requires endless decision making and trade offs to inspire stakeholders to move forward and deliver.

As we dive into 2024, it is obvious that AI tools do not only transform the way we work but also help product managers create products that exceed customer expectation and drive businesses forward.

Market research and trends analysis

As product managers, we process enormous amounts of market data — from reviewing global and industry trend analysis, to social media posts, predictions, competition, and company goals. AI, however, can now replace hours, if not days, of analyzing massive amounts of data in an instant, revealing market trends, anticipating needs, and foreseeing what's coming next. As a result, it is easier to make effective product decisions and identify new market opportunities.

Competitive analysis

Constantly following competitors, reviewing their new releases, product updates, or monitoring reviews to identify competitor strengths and weaknesses is an overwhelming and time consuming task. With AI, you can quickly analyze competitors’ products, pricing, promotions, and feedback. You can easily compare multiple attributes, including metrics, and identify gaps and areas for improvement — all the insights that are otherwise much harder to reveal quickly and efficiently.

Customer and product discovery

Of course, the most intuitive use case that comes to mind is the adoption of AI in product and customer discovery. For example:

  • Use AI for customer segmentation and persona creation to help visualize personas, prioritize user motivations and expectations, and uncover hidden behavior and needs. You can then create and simplify customer questionnaires for interviews and user groups and target customers more accurately.
  • Analyze quantitative and qualitative data from surveys, support tickets, reviews, and in-person interviews to identify pain points and unmet user needs and help prioritize features for future updates and releases.

Roadmap and sprint management

AI provides value in simplifying roadmap planning and sprint management. Resource optimization is often a gruesome task and AI can help with feature prioritization and resource allocation. It helps teams focus on critical work and increase their productivity. You can even analyze and manage dependencies and improve results across multiple sprints months in advance.

Prototyping and mockup generation

There is no product manager’s routine without multiple mockups, wireframes, and prototypes that explain concepts and collect feedback among stakeholders. AI has become a critical tool in simplifying this process and bringing ideas to life from concept to visualization.

Today, you can use textual or voice descriptions to instantly create multiple visuals with slight variations, run A/B tests and gather valuable feedback at the earliest stage of a product life cycle.

Job search and job interviews

Consider it as a bonus but one of the less obvious but crucial advantages of AI is using it in job search. With the vulnerable and unstable job market, especially for product roles, AI is a valuable assistant. From getting the latest news and updates on a company you want to join, to summarizing insights on the executive team, or company goals, compiling lists of interview questions, and running mock interviews, AI has become a non-judgmental assistant in a distressing and often discouraging job search process.

Use AI to draft cold emails to recruiters and hiring managers, compare your skills to open positions’ requirements, identify gaps, and outline ideas for test assignments.

We already know that AI is not a hype; it is here to stay. However, remember that customers do not consume AI, they consume your product for its value. Customers care whether your product gets their need, solves their problem, and makes their lives easier. The goal of a product manager is to create magic combining human brain capabilities and latest technology. And the best result is with a human at the core of any product.

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Natasha Gorodetsky is the founder and CEO of Product Pursuits, a Houston company that helps early stage and venture-backed startups build products and create impact.

Liu Idea Lab's Carol Tyger shares her experience on product managing for a tech startup. Getty Images

Houston expert reflects on why product management and user experience are key for tech startups

Houston voices

Consider planning a wedding. An impossible task of delivering a grand, completely personal event for all sorts of guests at a minimal cost.

At first, my fiance and I were freaking out because we heard that wedding planning is full of hidden costs and impossible expectations. But then the light bulb went off: that sounds a lot like my job as a product manager (PM). I can be the PM of my own wedding! I knew I wanted to provide a kick-ass party (great experience) for every guest (users) with limited resources (efficiently maximizing value).

Relying on my product manager skills, my fiancé and I started off by considering our goals and removing assumptions. I even conducted some user interviews by asking my friends what they value in weddings. Then we defined the "Wedding Minimum Viable Product (MVP)" and organized ourselves like a software team with a backlog and kanban board.

In the end, the wedding was a huge success. It felt just like a major software product release…from the planning to the execution. Product management is all about making a great user experience, maximizing value and working efficiently. In other words, it is a foundation for getting things done that can be applied to almost any situation.

Ultimately, as a product manager, you build an entrepreneurial mindset that can be applied to any future role. At the bare minimum, the PM is responsible for providing detailed requests for the tech team to build. But to be a great PM, it takes a lot more.

You rely on empathy. Product managers are the voice of the user for both the business and the tech team. To understand the user, you conduct user interviews, gather market analysis and collaborate with internal groups – exploring all corners of the organization – to determine user needs. Skilled product managers don't directly ask users what they want, but instead, understand through observation. You will be using various types of user data before and after software releases to forecast and measure the impact of innovations made.

You strengthen soft skills. It doesn't matter how technical you are if you don't have good rapport within the organization. The basics begin with communicating effectively, remaining flexible, acknowledging bad decisions and being comfortable with the unknown. The best product managers have built enough trust throughout the organization to lead at a senior level despite not having direct authority.

You strategize. You must understand the users, software cycle, and business needs well enough to plan months – even years – ahead while listening to and setting expectations with everyone involved. You will be blazing trails and solving new problems. The company will rely on you to operate with integrity while continuously innovating. Your entrepreneurial mindset will make setting the strategy second nature.

The entrepreneurial mindset and product management responsibilities hone skills that are not only transferable to future roles, but to your life in general. Whether you are preparing for a major software release or planning a fantastic party, your entrepreneurial mindset and product management skills will help you succeed.

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Carol Tyger is Lilie's product management expert-in-residence and was head of product at Spruce, a Houston-founded managed marketplace for apartment residents to book services such as housekeeping.

This article originally appeared on Liu Idea Lab for Innovation & Entrepreneurship's blog.

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CultureMap Emails are Awesome

3 Houston innovators who made headlines in May 2025

Innovators to Know

Editor's note: Houston innovators are making waves this month with revolutionary VC funding, big steps towards humanoid robotics, and software that is impacting the agriculture sector. Here are three Houston innovators to know right now.

Zach Ellis, founder and partner of South Loop Ventures

Zach Ellis. Photo via LinkedIn

Zach Ellis Jr., founder and general partner of South Loop Ventures, says the firm wants to address the "billion-dollar blind spot" of inequitable distribution of venture capital to underrepresented founders of color. The Houston-based firm recently closed its debut fund for more than $21 million. Learn more.

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, center. Photo via LinkedIn.

Ty Audronis and his company, Tempest Droneworx, made a splash at SXSW Interactive 2025, winning the Best Speed Pitch award at the annual festival. The company is known for it flagship product, Harbinger, a software solution that agnostically gathers data at virtually any scale and presents that data in easy-to-understand visualizations using a video game engine. Audronis says his company won based on its merits and the impact it’s making and will make on the world, beginning with agriculture. Learn more.

Nicolaus Radford, CEO of Persona AI

Nicolaus Radford, founder and CEO of Nauticus RoboticsNicolaus Radford. Image via LinkedIn

Houston-based Persona AI and CEO Nicolaus Radford continue to make steps toward deploying a rugged humanoid robot, and with that comes the expansion of its operations at Houston's Ion. Radford and company will establish a state-of-the-art development center in the prominent corner suite on the first floor of the building, with the expansion slated to begin in June. “We chose the Ion because it’s more than just a building — it’s a thriving innovation ecosystem,” Radford says. Learn more.

Houston university to launch artificial intelligence major, one of first in nation

BS in AI

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”