Evaluate a Generative AI Image Tool with a Within-Subjects Study
Overview
What this challenge is about.
Evaluate a Generative AI Image Tool with a Within-Subjects Study. Intermediate challenge in research. Conducting rigorous research on real questions, earn a ...
The Brief
What you'll do, and what you'll demonstrate.
Decide whether guided-prompt onboarding genuinely improves first-week engagement using a clean within-subjects user study.
This is not a research exercise. It is the work a researcher does to produce findings that withstand scrutiny. That distinction matters to every hiring manager who has seen candidates summarize papers and none who have produced original findings under expert review.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Design and run a within-subjects user study with counterbalancing
- Choose and report appropriate paired statistics for ordinal and continuous data
- Evaluate generative-AI tools with both subjective and behavioral measures
- Translate study results into a single ship/kill recommendation
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Human-Computer Interaction for AI Systems
Master · Applied Ai
Strong alignment
This challenge maps to Human-Computer Interaction for AI Systems at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Experiment Design
Apply experiment design to solve real industry problems and demonstrate production-level capability.
- User Study
Apply user study to solve real industry problems and demonstrate production-level capability.
- Within Subjects Design
Apply within subjects design to solve real industry problems and demonstrate production-level capability.
- Evaluation
Apply evaluation to solve real industry problems and demonstrate production-level capability.
- Statistical Analysis
Apply statistical analysis to solve real industry problems and demonstrate production-level capability.
- Human Ai Interaction
Apply human ai interaction to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Designer
Running a credible within-subjects study on a consumer AI surface plus shipping the recommendation is exactly the work AI product designers do for growth teams.
This challenge sharpens
- user-study
- within-subjects-design
- human-ai-interaction
AI Product Manager
Owning the ship/kill recommendation backed by paired statistics mirrors the AI PM's day-to-day at a feature-driven consumer-AI org.
This challenge sharpens
- experiment-design
- evaluation
- statistical-analysis
AI Safety Researcher
Pre-registered evaluations and honest reporting of effect sizes are the methodological core of AI safety research on real users.
This challenge sharpens
- experiment-design
- evaluation
- statistical-analysis