Product Talk · Teresa Torres
articleplaybookDefining What Good Looks Likes - All Things Product Podcast with Teresa Torres & Petra Wille
27 October 2026Product
Source excerpt
About Product TalkListen to this episode on: Spotify | Apple PodcastsAI evals feel like a brand-new skill — but the hardest part is a question product teams have always had to answer: what does "good" actually look like?Petra Wille and Teresa Torres dig into Teresa's recent
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Apollo layer
What a founder can learn
Founder takeaway
Treat AI evaluation as a product-definition problem first: align on what a good customer outcome looks like before choosing metrics or testing outputs.
Why it matters
Without an explicit standard for quality, teams can collect evaluation data yet still disagree about whether the product is improving. A shared definition of success focuses experiments and decisions on customer value.
Relevant guides
Put it to work
For one AI-powered workflow, ask: “What observable outcome would make a customer call this result good, and what would clearly make it unacceptable?” Turn the answers into a short evaluation rubric.