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Master the core concepts of AI evaluation: measure overestimation, assess workload, and run fair trials to make data-driven decisions.

Overestimation Delta (Δ)

When you need to measure and reduce the gap between perceived and actual AI task completion.

Learn how to identify and quantify overestimation bias in AI task assessments.

When you need to measure cognitive load and task burden during AI interactions.

Understand the six dimensions of task load and how to interpret your TLX scores.

When you need to run controlled experiments with consistent task boundaries.

Set up rigorous evaluations with proper controls, time boxes, and success criteria.

Summary → Review → Next Step: The learning loop explained

Make sense of your Δ and TLX results

Craft effective prompts and tasks

2-page packets you can print and hand to your team or leadership.

What to track, where delusions hide, 30-day plan

Retro questions, tracker fields, team resources

Ready to measure your AI impact? Start with a quick demo to see your Overestimation Δ and cognitive load metrics.