Trisha Price

Trisha Price, CPO at Pendo, shares her insights on establishing a successful product organization, highlighting her experience in guiding teams through growth. She discusses the shift towards an outcome-driven culture and the importance of aligning product teams with customer insights. Trisha emphasizes measuring success with qualitative metrics like NPS and using AI to understand customer sentiment. She also advocates for integrating OKRs to foster innovation and collaboration, showcasing practices that encourage engagement and quick iterations in product development.

Three SaaS leaders from Salesforce, nCino, and Vlocity share tips on building a billion-dollar SaaS company. Topics include recruitment strategies, sales tactics, building the right team, industry transformation, and customization challenges.

In this discussion, Trisha Price, Chief Product Officer of Pendo.io, shares her journey from software engineer to product leader. She emphasizes the importance of a product-led mindset that prioritizes customer needs amidst rising AI technologies. Trisha discusses cultivating an innovative culture and how to effectively leverage key metrics for sustainable growth. Additionally, she touches on balancing leadership with family life, sharing insights on effective leadership traits and diversity in product management.

Trisha Price, Chief Product Officer at Pendo, brings over 20 years of experience in product development and SaaS. She shares insights on how top CPOs differentiate themselves, emphasizing the need to align product goals with company outcomes. Trisha discusses the benefits of blending product-led growth with sales efforts and highlights the importance of measuring outcomes rather than just project progress. Her take on leveraging AI for faster prototyping and user insights, along with strategies for scaling product teams, makes this a must-listen for aspiring product leaders.

Todd Olson and Trisha Price discuss the implementation of AI in product organizations, emphasizing the importance of solving real pain points. They explore the potential of AI in automating tasks, leveraging data for growth campaigns, and improving efficiency. They also discuss the limitations of AI in decision-making and the importance of human creativity. Additionally, they highlight the challenges faced in the ideation process and the importance of understanding user pain points. The chapter concludes by exploring different product development approaches for chat GPT and TLM models.