AI tools are collapsing the traditional moats around design, engineering, and product. As PMs and engineers gain design capabilities, designers must reciprocate by learning to code and, more importantly, taking on strategic business responsibilities to maintain their value and influence.
Difficulty in the design job market stems not from increased competition, but from companies seeking a perfect "puzzle piece" fit. They are over-filtering for extremely narrow, rigid profiles, often rejecting highly qualified but non-matching candidates.
Designers often focus on selling their craft to design managers, but the final hiring decision frequently lies with product leaders. To succeed, designers must frame their value as a business investment, emphasizing the ROI and metric impact that resonates with the ultimate approver.
Product managers often operate like "poker players," optimizing for short-term wins. In contrast, designers tend to be "chess players," thinking holistically and several moves ahead—a trait they share with C-suite executives. This strategic alignment is a powerful, often overlooked, advantage.
Not all design impact can be quantified with metrics. When data is unavailable, frame your value by highlighting contributions to competitive parity, internal team efficiency, or bug reduction. This holistic view of business health resonates with leadership beyond just product managers.
Treat product data as a reflection of human behavior. At DoorDash, realizing the order status page had 3x more views than the homepage revealed intense user anxiety ("hanger"). This insight, derived from a data outlier, directly led to the creation of live order tracking.
Don't pitch big ideas by going straight to the CEO for a mandate; this alienates the teams who must execute. Instead, introduce ideas casually to find a small group of collaborative "yes, and" thinkers. Build momentum with this core coalition before presenting the developed concept more broadly.
Instead of complex prioritization frameworks like RICE, designers can use a more intuitive model based on Value, Cost, and Risk. This mirrors the mental calculation humans use for everyday decisions, allowing for a more holistic and natural conversation about project trade-offs.
Lacking resources for new research? Re-examine past experiments through a fresh lens. A successful Airbnb test that moved pricing into a modal was initially seen as a tactical win. A designer reinterpreted it as a strategic signal that users demand total transparency, providing the evidence to justify a move to single-page checkout.