The Problem
Instructional designers face daily decisions about which AI tool to use, when to use AI vs traditional methods, and whether their organization is ready for AI adoption—without clear frameworks these decisions are inconsistent and suboptimal.
Description
This document provides five practical decision-making frameworks: Tool Selection Decision Tree (guiding users from their primary need to the right tool), Methodology Selection Tree (ADDIE vs SAM), AI vs Human Decision Tree (safety, accuracy, volume considerations), AI Readiness Assessment Matrix (8 organizational factors with scoring), and Task-Specific Tool Recommendations (15 common ID tasks mapped to best tools with time savings). Each framework includes step-by-step guidance and is designed as a reference tool for daily use.