Code
AI-Driven Sales Lead Scoring for a B2B SaaS Scale-Up
Overview
What this challenge is about.
You will receive a sample dataset of 200 leads with fields like company size, industry, email open rates, and website visits. Using AI tools, you must craft prompts to generate a lead score (0-100) and a brief rationale. Deliver a scoring rubric, a Python script or no-code workflow (e.g., using Zapier + GPT), and a 1-page executive summary. Success is measured by the model's ability to correctly identify top 20% leads (validated against a hidden test set) and explainability of scores.
The Brief
What you'll do, and what you'll demonstrate.
How can CloudFlow use generative AI to automatically score and prioritize leads for their enterprise sales team?
Earning criteria — what you'll demonstrate
- Design a lead scoring model using generative AI and prompt engineering
- Integrate AI outputs into a business workflow (e.g., CRM update)
- Evaluate model performance using precision/recall metrics
- Communicate technical results to a non-technical sales team
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.
Career mappings coming soon.