M0
The Problem
Ranking audit
You can articulate why relevance is hard and what signals a ranker needs
Available
Free
- Effort
- 1-2 hours
- Prerequisite
- No prerequisite
- Core concept
- Search is ranking, not lookup
What you have
Raw product titles in a CSV
What you gain
A written hypothesis about what makes one result better than another
What you build
You begin with a product dataset and leave with a ranking hypothesis that can guide the first implementation pass.
- A ranking audit note that names the retrieval problem in plain language
- A query-to-result worksheet for comparing weak and strong search outcomes
- A relevance checklist you will reuse in later modules
What you learn
- Why search is a ranking problem, not a database lookup
- How query intent changes what counts as a good result
- Why evaluation needs examples, labels, and failure cases
Artifact and workload
Primary artifact: Ranking hypothesis document
Tests0
Assessments3
Estimated time1-2 hours
Access
This module is free. Read the overview here, then work through the code in the GitHub repository.