"How do you prioritize which features to build?"
PMs can never build everything. This tests your ability to make data-informed trade-offs and align feature decisions with business and user goals.
Describe your prioritization framework (RICE, ICE, MoSCoW, etc.).
Show how you balance user needs, business goals, and technical effort.
Discuss stakeholder alignment and communication.
Give a real example of a tough prioritization decision.
I use a combination of frameworks depending on context. For roadmap-level decisions, I use RICE: Reach (how many users), Impact (how much value per user), Confidence (how sure are we), and Effort (engineering cost). I score each feature and rank them. But RICE alone is not enough — I layer in strategic alignment: does this feature support our quarterly OKRs? Is there a competitive threat we need to respond to? I also validate with user research: are users actually asking for this? In a recent case, a high-RICE feature (dark mode) lost priority to a lower-RICE feature (API integrations) because API access was blocking three enterprise deals worth $500K ARR. The frameworks provide structure, but PM judgment fills the gaps.
Show you use data AND judgment — pure framework answers feel mechanical.
Demonstrate that you can say "no" to good ideas that are not the best use of resources.
Mention stakeholder management — prioritization creates winners and losers.
Reach × Impact × Confidence ÷ Effort. Reach: users affected per quarter. Impact: value per user (0.25 to 3). Confidence: percentage certainty. Effort: person-months. Higher score = higher priority.
Share the framework and data transparently. If they still disagree, understand their perspective — they may have context you lack. Escalate if needed, but usually data-driven decisions earn buy-in.
Yes. I allocate 15-20% of capacity to tech debt and infrastructure. Frame it as investment: reducing bugs, improving speed, enabling future features faster.
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