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.

------

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.

------

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.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

$5B Austin medical center, anchored by MD Anderson, to break ground this fall

moving forward

Construction on the $1 billion first phase of the AI-native University of Texas Dell Medical Center in Austin—which will feature a hospital operated by Houston’s UT MD Anderson Cancer Center—is set to start this fall.

The UT System Board of Regents approved funding for first-phase construction on Aug. 12.

The medical center—now expected to cost $5 billion, up from the initial $2.9 billion estimate—will span about 2.5 million square feet. It will include 300 to 500 patient beds, outpatient facilities, an emergency department and specialized care for cancer patients.

MD Anderson will bring its world-renowned oncology programs to the center’s integrated health care model, Dr. Claudia Lucchinetti, senior vice president of medical affairs at UT Austin and dean of the university’s Dell Medical School, tells Health Leaders.

Earlier this year, Austin tech billionaire Michael Dell and his wife, Susan, pledged $750 million for development of the medical center. The medical center, scheduled for completion in December 2030, will be a cornerstone of the new 300-acre UT Dell Campus for Advanced Research, a medical education and research hub.

“Through this new campus and medical center, Texas will lead America in health care innovation,” Gov. Greg Abbott said when the research campus was announced in April. “The next generation of medical breakthroughs will take place in Central Texas.”

The medical center will fold AI tools and other technology into the infrastructure, rather than having them added after it’s built. Among other capabilities, the technology will monitor real-time medical data, automate data entry, and help health care professionals quickly predict and identify risks to patients, according to Health Leaders.

“We are not just building a new medical center,” Lucchinetti says. “We are building a fundamentally new model of health. It’s not just a new facility. It’s not just a new collaboration. It is a convergence of capabilities that rarely come together at the same time.”

Rice lands $15M U.S. Army award to launch next-gen wireless research center

defense funding

The U.S. Army Research Office has awarded Rice University $15 million to establish a new center for next-generation sensing and communications.

The five-year research center—dubbed the Center for Large Aperture Secure Sensing, Imaging and Communications (CLASSIC)—will unite researchers from universities and national laboratories to develop advanced antenna technologies for future wireless systems. Edward Knightly, the Sheafor-Lindsay Professor of Electrical and Computer Engineering at Rice, will lead the center that “combines expertise in wireless networking, antennas, radar, artificial intelligence, circuits and physics to address growing demands on wireless systems,” according to Rice.

“The challenges we’re tackling require advances that span physics, hardware, communications and computing," Knightly said in a news release. “By combining those strengths in a single center, we can accelerate the development and demonstration of technologies that would not be possible through individual efforts alone.”

Joining Knightly will be Ashutosh Sabharwal of Rice, Sensen Li of the University of Texas at Austin, Hou-Tong Chen of Los Alamos National Laboratory, Danijela Cabric of UCLA, Josep M. Jornet and Tommaso Melodia of Northeastern University, Daniel M. Mittleman of Brown University, and Willie Padilla of Duke University.

Industry partners include Booz Allen Hamilton, Intel, Keysight, Lockheed Martin, MITRE, Northrop Grumman, Qualcomm and Raytheon.

CLASSIC researchers will investigate how large-scale antenna arrays (ELSAAs) can expand the capabilities of wireless systems where technology is limited.

ELSAAs use thousands of coordinated antenna elements to direct radio waves. Researchers aim to develop ways to use the technology to help maintain steady communication when signals are blocked or disrupted and to detect and generate detailed images of concealed objects.

Along with ELSAAs, the center will work to develop sensing techniques for threat detection, study wireless jamming and build resilient high-speed wireless networks. Researchers will ultimately validate the technology in labs and via drone-based field trials.

CLASSIC will also work on developing an AI-driven modeling framework that will simulate complex electromagnetic environments in real time.

“This award demonstrates Rice’s leadership in tackling complex national research challenges through collaboration across disciplines and institutions,” David Sholl, executive vice president for research at Rice, added in the release.