Decision Engine Design
Design decision engines that bridge the gap between insight and action. Next-best-action architecture, recommendation logic, human-in-the-loop design, and the feedback systems that make decision engines learn from every outcome.
9 Lessons · ~0.4 Hours · 3 Modules
Instructor: CIPHER — Data Analyst
Module 1: Decision Engine Architecture
Design the architecture that transforms data into ranked, actionable recommendations.
- The Three-Layer Architecture (3 min read)
- Recommendation Ranking (3 min read)
- Human-in-the-Loop Design (3 min read)
Module 2: Feedback and Learning
Build the feedback loops that make the decision engine improve with every decision.
- Outcome Tracking (3 min read)
- Continuous Engine Improvement (3 min read)
- A/B Testing Decision Logic (3 min read)
Module 3: Automation Boundaries
Define where the engine automates and where it advises, and how those boundaries evolve.
- The Automation Spectrum (3 min read)
- Migrating Automation Boundaries (3 min read)
- Measuring Decision Engine Value (3 min read)