AI has potential, but the current capabilities of large language models are not transformative for product management. Evaluating the real use cases is essential.
Product teams must carefully consider how to evaluate their AI products. It’s crucial to avoid repeating the cycle of unthoughtful pitches and missed connections.
When evaluating AI use cases, both the consequence and likelihood of errors are critical factors. Understanding these aspects will enhance product management effectiveness.
Sharing experiences with evaluating AI use cases is valuable. Open dialogue can improve the development of AI tools and their relevance to product management teams.
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