Mastering Product-led Growth (PLG) & Sales-led Growth (SLG) for Enterprise | Calendly Chief Product Officer, Stephen Hsu | E241

The Product Podcast

In this episode, Stephen Hsu, Chief Product Officer at Calendly, shares his insights on navigating the AI landscape and transforming Calendly into a comprehensive meeting lifecycle platform. He discusses the challenges of evolving from a simple scheduling tool to a robust solution that meets diverse customer needs and the importance of maintaining a customer-centric approach in a competitive market.
Stephen elaborates on his strategic vision for integrating AI across various functions within Calendly, emphasizing the need for a modular product design that can adapt to emerging technologies. He also highlights key trends in the AI space, such as enhancing user experiences and fostering deeper integrations with existing tools.

What you'll learn:
- Stephen's journey to becoming CPO at Calendly and his vision for the company's growth.
- Strategies for transitioning from a basic scheduling feature to a comprehensive product suite.
- The significance of understanding customer needs in product development.
- Insights into the competitive landscape of AI and scheduling solutions.

Key Takeaways👇:
Customer-Centric Innovation: Stephen stresses that aligning product development with customer needs is crucial for success. Leveraging AI can significantly enhance user experiences and streamline workflows.
Modular Product Design: He advocates for flexible architectures that allow rapid adaptation to new capabilities, ensuring products remain relevant as technology evolves.
Focus on Activation Metrics: Understanding what constitutes user activation is vital. Stephen emphasizes the importance of defining clear activation metrics to foster long-term user retention.

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Brought to you by:
Sprig, a product experience platform that generates AI-powered opportunities to continuously improve your product at scale. Sprig AI captures your product experience in real time through Heatmaps, Replays, Surveys, and Feedback studies and instantly analyzes all of your product experience data to generate real-time insights.
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Credits:

Host: Carlos Gonzalez de Villaumbrosia
Guest: Stephen Hsu

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