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Basic Prioritization Practice
A starter scenario for practicing PM prioritization with the Airbnb host retention problem. Features 3 options with clear data, designed for framework application practice.
Input
What you provide to the skill
Give me a prioritization question to practice with
Output
What the skill generates for you
You’re PM for Airbnb and need to prioritize features for host retention. You’ve noticed that 30% of new hosts don’t complete their first 5 bookings within 6 months and become inactive.
You have one engineering team for Q1 and must pick ONE initiative:
Option A: Host Mentorship Program
- Pair new hosts with experienced “super hosts” for 1-on-1 guidance
- Reach: All 50K new hosts per quarter
- Potential impact: Reduce inactive rate from 30% to 20%
- Effort: 2 person-months (matching algorithm + messaging system)
Option B: Automated Listing Optimization
- AI suggestions for improving photos, pricing, and descriptions
- Reach: All 50K new hosts per quarter
- Potential impact: Increase booking rate 15% for hosts who implement suggestions
- Effort: 4 person-months (ML model + UI)
Option C: Simplified Onboarding Flow
- Reduce listing creation from 45 minutes to 15 minutes
- Reach: All 50K new hosts per quarter
- Potential impact: Increase completed listings from 80% to 95%
- Effort: 3 person-months (redesign + implementation)
Context:
- Current new host listing completion rate: 80% (20% start but abandon)
- Current avg time to first booking: 3 weeks
- Your north star metric: Host retention at 6 months
Your task:
- Apply a prioritization framework (RICE, ICE, or value/effort matrix)
- Make assumptions explicit where data is missing
- Choose ONE option with clear reasoning
- Articulate what you’re sacrificing and why that trade-off is acceptable
About This Skill
Interactive coaching for PM interview prioritization questions. Learn RICE/ICE frameworks, practice making confident decisions with limited data, and master trade-off articulation for FAANG interviews.
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