Beta · 120 users · 4.9 stars

Train your product sense like engineers train algorithms

Real case studies from Google, Meta, Spotify, and Stripe. Submit your thinking. Get graded by AI. Watch your Product IQ climb.

100% AI-Graded
Real Case Studies
IQ Score Tracking
Case Library

Decisions that shaped products billions use

Pick a case. Analyze the problem. Submit your recommendation. Luma, your AI coach, grades your thinking and shows you what senior PMs would do differently.

case_study_017.md

$ Spotify wants to increase podcast retention by 20% in Q3. You're the PM. Three teams are pitching features. Which do you fund and why?

Strategy Metrics
Difficulty: Hard +18 Product IQ
case_study_042.md

$ Stripe's dashboard has 3x the feature requests it can ship this quarter. Define the prioritization framework and defend your top 3 picks.

Prioritization Strategy
Difficulty: Medium +12 Product IQ
case_study_089.md

$ Google Maps launches a new feature and DAU drops 4% in the first week. Diagnose the root cause and propose a recovery plan.

Analytics User Research
Difficulty: Hard +22 Product IQ
How It Works

Three steps. Measurable growth.

1

Pick a case

Real product decisions from companies you know. Spotify's retention problem. Stripe's prioritization dilemma. Google's launch failure.

2

Submit your thinking

Analyze the problem, make trade-offs, and write your recommendation. No multiple choice. No shortcuts. Think like a PM.

3

Get graded by Luma

Your AI coach evaluates structure, depth, and strategic reasoning. See what senior PMs would do differently. Your Product IQ updates in real time.

What You Practice

The skills that separate good PMs from great ones

S
Product Strategy & Vision
M
Metrics Definition & Analysis
P
Feature Prioritization
U
User Research & Empathy
R
Roadmap Planning
G
Go-to-Market Strategy
A
A/B Testing & Experimentation
C
Competitive Analysis

Product sense isn't a talent. It's a skill you train.

Every great PM started somewhere. HackProduct gives you the reps, the feedback, and the score to prove you're ready. Built by an engineer who believes product thinking should be as trainable as algorithms.