Run an A/B Test on Two System Prompts for a Sales Email Assistant
Overview
What this challenge is about.
Run an A/B Test on Two System Prompts for a Sales Email Assistant. Intermediate challenge in analysis. Analyzing real datasets and building models that drive...
The Brief
What you'll do, and what you'll demonstrate.
Decide whether the new system prompt beats the existing one on reply rate without inflating tokens or rep-edit work.
This is not a data exercise. It is the work an analyst does when stakeholders need answers from messy data. That distinction matters to every hiring manager who has seen candidates describe statistical methods and none who have extracted insight from messy, real-world data.
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 a server-side A/B test for an LLM-powered feature
- Choose and instrument metrics that triangulate quality, cost, and effort
- Analyse A/B results with bootstrap CIs and Bayesian posteriors
- Write a ship/kill memo a non-technical growth team can act on
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Prompt Evaluation
Apply prompt evaluation to solve real industry problems and demonstrate production-level capability.
- Ab Testing
Apply ab testing to solve real industry problems and demonstrate production-level capability.
- Metric Design
Apply metric design to solve real industry problems and demonstrate production-level capability.
- Bayesian Analysis
Apply bayesian analysis to solve real industry problems and demonstrate production-level capability.
- Experiment Design
Apply experiment design to solve real industry problems and demonstrate production-level capability.
- Prompt Engineering
Apply prompt engineering 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:
Prompt Engineer
Running a real A/B test on a prompt change with proper statistics is the day-to-day of prompt engineers at any growth-driven AI product.
This challenge sharpens
- prompt-evaluation
- ab-testing
- prompt-engineering
Data Scientist
Bootstrap CIs and Bayesian posteriors on a feature A/B test are the core data-scientist toolkit on any growth team.
This challenge sharpens
- ab-testing
- bayesian-analysis
- experiment-design
AI Product Manager
Owning a pre-registered prompt experiment and the ship/kill memo is the AI PM's daily job in growth-led AI orgs.
This challenge sharpens
- experiment-design
- metric-design
- ab-testing