The ABCs of Scoring: Why, How, and Getting a Good Grade
summary
Scoring normalizes disparate KPIs to a common scale so percent growth, returns and customer counts become comparable, then aggregates weighted KPI scores into objective and overall 1–100 scale grades; applied to an IT dataset of 3,000 applications it yields manager grades (example app management = 3.88 → B) and highlights problem owners. The method favors score then aggregate to reduce outlier impact, uses simple Excel/Power Pivot/SSAS pipelines, tunes tolerances/weights early and then revisits them yearly.
AI-written summary · about
chapters (6)
- 0:00Scoring introduction
- 10:34Why scoring matters
- 20:30Measures metrics KPIs
- 31:03Building scoring engine
- 43:05Refining weights tolerances
- 52:35Q&A
related talks
16mContent Scoring
49mProper Scoring Rules for Text and Super-alignment
37mBehind the AI Curtain - Designing for Machine Learning Products
25mData-Driven Game-dev Business: Building a Profitable Portfolio
06mLAX-Score: Quantifying Team Performance in Lacrosse and Exploring IMU Features towards ...
29mEvaluation Design
39m6 Lessons for School Effectiveness
33mBehind the AI Curtain - Designing for Trust in Machine Learning Products