Overview
What this challenge is about.
You receive: current funnel analytics (1M trial sign-ups over the last 90 days, current activation rate, current D1/D7/D30 retention), a competitor teardown deck, and the founder's draft 'aha moment' definition. Redesign the onboarding to a 3-step flow that gets users to the activation event inside 90 seconds. Define the activation event precisely (binary, machine-loggable). Write a 4-week experimentation plan with 6 experiments (3 onboarding-UX, 3 prompt/UI nudges) and how each will be evaluated. Deliver a Figma prototype + a 4-page plan doc.
The Brief
What you'll do, and what you'll demonstrate.
Redesign onboarding and define an experimentation plan that has a credible path to lifting D7 retention by 10 percentage points.
Earning criteria — what you'll demonstrate
- Design onboarding flows that compress time-to-aha
- Define activation events precisely and machine-loggably
- Plan retention experiments with measurable hypotheses
- Reason about retention dynamics specific to AI copilot products
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
AI Product Designer
Onboarding redesign with a measurable activation event is the AI product designer's signature project at consumer-AI startups.
This challenge sharpens
- product-design
- user-onboarding
- user-flow-design
AI Product Manager
Pairing UX with experimentation and funnel rigor is the AI PM skill that drives retention-led growth.
This challenge sharpens
- experimentation
- retention-analytics
- product-design
Data Scientist
Measurement-spec and pre-registered experiments are the analytics-leaning data-scientist craft.
This challenge sharpens
- experimentation
- retention-analytics
- user-onboarding