Product Thinking Dear Melissa - Answering Questions About AI and Platform Products, Being New to Product Ops, and People Management in Product
Feb 23, 2022
In this segment, Melissa dives into the complexities of product management for data, AI, and platforms. She shares valuable insights for those transitioning from project management to product operations, emphasizing critical first steps. The discussion also tackles the challenge of blending product and people management effectively. Listeners will learn about the risks of siloed platforms, the importance of good backend product management, and how to prioritize customer needs over technical choices for better alignment.
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Backend Products Serve Internal Users
- Platform, data, and AI products enable application teams rather than directly serving end users.
- Your customers remain end users, but your users are internal product teams consuming services and data.
Prioritize Platform Work From App Roadmaps
- Prioritize platform work by tracing value from application roadmaps back into platform capabilities.
- Meet application product managers and align your backlog to what will actually be consumed on their roadmaps.
Platform Built Without Product Failed
- Melissa recounts a company that built a platform in engineering without product input and wasted tens of millions.
- The platform's services were never adopted because they ignored application roadmaps and customer needs.