For services where disruptions are common and stressful, the support and recovery experience *is* the product. The goal is to design a system that instills a feeling of 'I got you,' using AI and human intervention to build trust in critical moments.
A product leader's true value isn't in having all the answers but in creating an environment where the team can collectively find them. This involves fostering clarity, encouraging teams to tell the truth, and building systems for good decisions.
The CPO role has evolved from focusing on deliverables like roadmaps and velocity to shaping the company's learning processes, decision-making frameworks, and overall strategy. It's about building a smarter organization, not just shipping features.
With customer data now widely available across teams, a product leader's unique value is no longer just representing the customer. Instead, their crucial role is to synthesize signals, align teams on what truly matters, and make strategic trade-offs explicit.
The promise of AI in creating personalized, reliable experiences can only be realized if the underlying data models and infrastructure are clean and well-structured. This foundational 'gutter cleaning' is the prerequisite for building trust, as AI relies on this data to make good decisions.
AI's proliferation means users now subconsciously expect products to anticipate needs and offer proactive help, not just be functional. This shift raises the bar for product experiences, demanding a move from designing features to designing behavior.
When joining a new company, especially in a complex industry, a leader's first focus should be on understanding the 'edge cases'—escalations, churn reasons, and support issues. This is where the company's real constraints and customer pain are most apparent.