Product Sense interviews don't test how many features you can brainstorm — they test whether you can turn a vague prompt into a behavior-driven diagnosis. In a real Google HC debrief, a candidate who pitched 12 YouTube features got rejected because 'they described what, not why.' Today we use the CIRCLES framework to break down a senior-user search experience problem, with Superhuman's story of raising their product/market fit score from 22% to 58% using a four-question survey as our case study.
AI pushes execution cost toward zero. People with good taste create more value; people with poor taste create more garbage. The difference is not whether you can use AI, but whether your mind contains something worth amplifying before you use it. This series documents my attempt to sharpen judgment systematically.
Product Sense interviews don't test how many features you can think of — they test whether you can find the problem truly worth solving within a vague requirement. Core skills: user segmentation thinking, problem reframing (turning 'add a feature' into 'what problem are we solving'), structured reasoning for feature prioritization, and the ability to hold or revise your judgment under follow-up questions.