After probing a candidate's past, 'flip the table' and present them with a current, real-world problem your company faces. This reveals their curiosity, analytical skills, and ability to engage with a new challenge on the spot, shifting from their prepared stories to raw problem-solving.

Instead of focusing on specialized skills, the most revealing interview question for a PM is, "Have you ever launched anything before?" This simple query cuts through over-specialization and assesses if a candidate understands the entire go-to-market lifecycle, from build to sales enablement and customer adoption.

Treat interviews as evidence-gathering sessions, not snap judgments. Ask broad questions like 'How did you grow your product?' and listen for signals of desired traits. Use a scorecard with concrete examples to assess candidates against criteria like being data-driven, thereby reducing personal bias.

Use the maxim, "How someone does anything tells you how they do everything." Assess a candidate's preparation for the interview itself. Their research, note-taking, and follow-up are direct predictors of their future diligence and performance in the role.

In AI PM interviews, 'vibe coding' isn't a technical test. Interviewers evaluate your product thinking through how you structure prompts, the user insights you bring to iterations, and your ability to define feedback loops, not your ability to write code.

To assess critical thinking, send C-level candidates your board deck under NDA before the interview. Use the conversation to gauge their feedback. A candidate who only offers praise is a red flag; the best candidates will challenge your thinking and provide constructive criticism.

Ditch standard FANG interview questions. Instead, ask candidates to describe a messy but valuable project they shipped. The best candidates will tell an authentic, automatic story with personal anecdotes. Their fluency and detail reveal true experience, whereas hesitation or generic answers expose a lack of depth.

Instead of a traditional interview, Parker Conrad sends candidates his investor materials beforehand. The first meeting is dedicated to their questions. He finds that the quality, depth, and skepticism of their questions is the best predictor of success, as it simulates the actual working relationship.

To build a truly product-focused company, make the final interview for every role a product management-style assessment. Ask all candidates to suggest product improvements. This filters for a shared value and weeds out those who aren't user-obsessed, regardless of their function.