Key Takeaways from H1 2024 (Part 1) w/ Brian Balfour, Ravi Mehta, Joff Redfern, and Fareed Mosavat

Key Takeaways from H1 2024: Reflecting on Hardware, Unstructured Data, and the Future of Product Management

As we transition from the first half of 2024 to the second, this special finale episode of Unsolicited Feedback brings together all four co-hosts from this season for the first time - Brian Balfour, Joff Redfern, Ravi Mehta, and of course, Fareed Mosavat - to reflect on significant themes and insights.

Hardware vs Software

We started by discussing Brian's favorite brand, Vuori, noting that these premium gym clothes cost significantly more than we used to expect to spend on such products. But do the same trends around premium and luxury exist for software?

🔄 High-End Products Elevate Market Standards

The trend of high-end hardware products elevating the overall market is evident. Products like Yeti coolers and Hydro Flask water bottles set a new standard for quality and design, pushing other brands to improve.

Joff adds to this by highlighting the parallels in software, where premium offerings drive innovation across the board. "Just as high-end hardware redefines consumer expectations, leading software products set new benchmarks for functionality and user experience." Products like Superhuman have managed to create a premium, almost luxury brand image.

💡 Difference Between Premium and Luxury

Premium products introduce new functionality. Luxury products rely on brand, messaging, and style to imply value, without explicitly stating the value propositions. A Yeti may share that it can keep beverages cooler longer than another product, whereas a Rolex watch doesn't discuss any specific underlying features. Instead, being shown on the wrist of an attractive, wealthy person on a yacht signals its quality.

Here, we start to see software take a departure. Premium products in software have clear value, but trends around luxury do not transfer over as well.

Brian emphasizes the importance of brand value and consumer perception. In physical goods, the brand you carry can be a status symbol. While this is harder to replicate in software, some products like Superhuman have managed to create a premium, almost luxury brand image.

🔍 Community and Brand Perception are Critical in Software Adoption

The early communities around products like Figma and Linear helped establish them as 'cool' tools, attracting users through a combination of utility and social signaling. In many ways, a community is the software version of luxury signals. Instead of chasing advertisements where successful-looking people use the product, software companies pursue a cool community of users to help attract more customers.

♦️ Software Carries a Different Goal Than Luxury Does

Luxury businesses aim for a large ratio of product owners to those who are aware of the product. On the other hand, software businesses operate differently. They strive for the maximum number of people who know about the software to try or purchase it.

Embracing Unstructured Data: Unlocking New Potential with AI

🤯 80% of the World’s Data is Unstructured.

AI's transformative potential lies in its ability to process unstructured data, which constitutes 80% of the world's data. This advancement allows for the analysis and utilization of vast, previously inaccessible resources. And, for businesses, Tools like Gong and Zoom are creating a deluge of qualitative data, which can now be effectively processed and utilized thanks to AI.

🔍 Quantify Qualitative Data for Deeper Insights, but also Harder Decisions

Quantifying qualitative data, such as survey responses and customer feedback, is now possible with AI. We can even link specific language patterns to metrics like NPS or retention rates, offering a richer, more nuanced understanding of customer feedback.

"Qual data used to be a black box. Now, AI is the key to unlocking its secrets." - Ravi Mehta

However, the flip side here is that we'll now have many more decisions to make. By capturing more feedback, we'll also get more ideas for bug fixes, feature requests, and even expansion ideas. This flood of ideas may make prioritization more challenging.

The Future of Product Management: Unsolicited Feedback on Lenny Rachinsky's Article

For our third topic, we're responding to an article by our friend, Lenny Rachitsky, entitled How AI Will Impact Product Management. At the risk of oversimplifying his robust argument, Lenny suggests that AI will have a greater impact on the highly strategic aspects of Product Management, as opposed to the low-level communication tasks needed to build a product. Brian respectfully disagrees, and here's why:

🤝 Human Creativity Remains Irreplaceable

While AI excels at recognizing patterns, the counterintuitive insights that drive breakthrough innovations come from human intuition. The balance between AI efficiency and human creativity is crucial for effective decision-making.

"AI is excellent at pattern recognition, but the best product strategies often come from counterintuitive insights that AI can't easily grasp." - Brian

Ravi provides an excellent example here from Bookings.com and Airbnb. Bookings.com A/B tested its way into a nearly perfect hotel and travel booking experience, something AI could have significantly contributed to. Airbnb had a fundamental hypothesis that in the sharing economy, people would be open to sharing their homes and renting space in others' homes. This is probably something AI could not have determined.

🌟 In The Product Management Triad, Strategy Remains The Most Human-Centric

Joff paints a picture of the three activities a great product person will do - Strategy, Prioritization, and Execution. He argues that AI can have an outsized impact on Prioritization and Execution, but will struggle to impact Strategy. That said, do we really need a “Product Manager” to do just the Strategy aspects of the role? Maybe? The panel disagrees on this question, but there are some concepts that they agree on:

🤖 Design Takes on a More Strategic Role

As tools like Figma become central to the product lifecycle, designers are taking on more strategic roles, integrating customer insights directly into the design process. The question here is whether it’s a designer that moves into more of a product role, or a product manager / engineer that becomes more skillfull at design.

🛠️ Full-Stack Roles Will Become More Prevalent

Whether former engineers take on more product and design tasks, or product leaders take on more design and engineering tasks, one thing is clear. AI is poised to collapse the talent stack, leading to more generalists who can leverage AI to handle specialized tasks. This shift may result in fewer specialists but more integrated teams capable of handling a broader range of tasks. The shift to full-stack is here, and individuals wanting to excel may need to move from T-shaped expertise to 🔺 shaped expertise, with the ability to at least be proficient in the strategy, design, and building of the product.

"The best product leaders will be those who are 'full-stack'—able to build, design, and strategize with equal proficiency." - Fareed Mosavat

🎯 The Future is Prototype-Driven

The future of product management might involve rapidly building and modifying prototypes, which allows for swifter validation and refinement of ideas. Fareed compared this to the role of a film director, "Guiding V0s of products into releasable versions, much like turning a script into a finished film."

"Design is no longer just about aesthetics; it's about strategic thinking and aligning with business objectives." - Ravi Mehta

👥 The DNA of Future Product Leaders are Builders

While product management is essential, the traditional role of product managers might be diffused across teams. Product management tasks could be shared among designers, engineers, and marketers, each bringing their unique strengths to the table.

The best product managers are those who have been through the build cycle, understanding what it takes to turn an idea into a tangible product. Brian shares that a brilliant product leader he knows was a former marketer who understood how to take something from an idea to a successful brand.

But, Ravi warns, that companies need to avoid the trap of thinking they can be product-centric without dedicated product management. "Both highly product-centric and product-agnostic companies might have few product managers, but for very different reasons," he cautions.

Joff want’s to Rewrite The Stack, Not Enhance it

The episode concludes with a thought-provoking discussion on the future of product management. Joff speculates that AI will lead to a collapse of the talent stack, enabling more generalists to take on what were previously specialized roles. This democratization could see a broader range of people contributing to product development, driven by a new, more inclusive methodology.

"Imagine a world where 500 million people can code. AI is democratizing the art of building." - Joff

He observes that many companies aim to double the efficiency of a specific step in their existing process. However, considering the tools we currently have, and the potential influx of 500 million new product builders, we need to rethink how we would build products if we were free of constraints.

Do you have thoughts on any of these three lessons? Join us next time as we tackle the AI marketing playbook and get a round robin of hot takes from these product heavy hitters.