PM interview prep, head-to-head
Most PM prep is a list of frameworks (CIRCLES, AARM, RICE). Real PM rounds reward the candidate who frames the problem with the user in mind, not the candidate who recites CIRCLES.
Built for the four PM rounds
Execution rounds — improve / launch / metrics
"How would you improve Instagram Stories?" — the copilot does not start with CIRCLES. It starts with: who is the user, what is their job-to-be-done, what is the metric this would move, what is the priority frame. The framework comes second, the user empathy first.
Product-sense rounds — persona-anchored
Generic "design a product for X" answers fail at FAANG PM loops because they skip persona depth. The copilot enforces the persona anchor — name, context, jobs-to-be-done, anti-jobs, current alternatives, switching cost — before any solutioning.
Strategic / market-sizing rounds
When the interviewer says "size the market for X", the copilot walks the structured estimate: top-down vs bottom-up, the population anchor, the adoption rate, the monetisation, the sensitivity check. Without leading you into a math-only answer that misses the strategy.
Analytical rounds — SQL + metric definition
PM loops increasingly include SQL. The copilot recognises the editor (Mode, Hex, generic SQL pad) and surfaces hints for the canonical analytics patterns: cohort retention, funnel conversion, attribution, anomaly detection — and the metric-definition decisions sitting under each query.
Behavioral STAR — PM-specific
Stakeholder conflict, scope cut, prioritisation against the CEO, post-launch failure — these are the four PM-specific behavioral prompts. The copilot has scaffolds for each, calibrated to the seniority you are interviewing at.
Level-calibrated scoping
APM answers focus on user empathy + clear thinking. Senior PM answers add team coordination + metric instinct. GPM / Director answers add cross-team strategy + business judgement. The copilot adjusts the scope of the answer to the level you target.
