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PM and TPM interviews are judgment-based, not multiple choice. Each case below gives you the prompt, what interviewers are actually grading, a framework to structure your answer, a strong worked example, common pitfalls, and likely follow-ups - across product design, metrics, strategy, estimation, and program execution.
Design or improve a product - scope users, find pain, prioritize, measure.
The classic product-design prompt. Interviewers screen for user empathy and a structured, needs-first approach - not feature brainstorming.
Deceptively open. They're testing product judgment, user empathy, and prioritization - not your taste.
Tests whether you can go from a vague mandate to a scoped, prioritized, measurable feature in a two-sided marketplace.
A services-marketplace design prompt where trust and data accuracy matter more than features. Tests segment choice and two-sided thinking.
A physical-world design prompt. Tests whether you can serve two masters (shopper and store), segment trips, and pick a pragmatic ambition level.
Tests whether you can find the segment's structural problem (volatility, no withholding) and design the mechanic around it - not ship a generic budgeting app.
Pick success metrics and diagnose metric movements with structure.
The most common analytical PM case. They want a structured, hypothesis-driven investigation - not a guess.
Tests whether you can connect a feature to genuine value - and resist vanity metrics.
Tests whether you can reason about competing metrics and long-term vs short-term value.
The modern metrics case. Tests whether you can see past acceptance rate to retained value, quality guardrails, and causal measurement.
Tests whether you understand liquidity as the marketplace health metric - measured per side, per market cell - and can find the binding constraint.
Tests statistical literacy (power, peeking, SRM) plus decision-making under uncertainty - the stats are a means, the decision is the job.
Decide what to build and why, with explicit frameworks.
Tests whether you can prioritize with an explicit, defensible framework instead of opinions.
Tests structured decision-making under uncertainty: opportunity sizing, fit, and risk - landing on a clear recommendation.
An adjacency-expansion case. Tests whether you can separate what transfers from what doesn't, and enter with a wedge instead of a leap.
A competitive-response case. Tests whether you diagnose before reacting - how they fund free, which segments are actually at risk - and respond with structure.
Market sizing and back-of-envelope estimation with stated assumptions.
Tests structured estimation and explicit assumptions - the number matters less than the reasoning.
A technical estimation case. Tests bottom-up decomposition plus the engineering judgment (replication, tiering, codecs) that changes the answer 2-3x.
A market-sizing case with a twist: the honest answer is small today - the insight is the growth trajectory and what it implies strategically.
TPM cases: drive cross-functional launches and recover at-risk projects.
The core TPM case: coordinating multiple teams to a deadline with clear ownership, dependencies, and risk management.
Tests how a TPM diagnoses schedule risk and acts - through scope, resources, or timeline - while managing stakeholders.
Tests how a TPM handles a slip they don't control: narrowing the interface, working the option stack, and escalating with data instead of drama.
The long-horizon technical program case. Tests strangler-fig strategy, sequencing, traffic-based progress metrics, and finishing the last 10%.