AI Pilot Design and Measurement
The architecture of a pilot that produces conviction — scope design for visibility and control, measurement frameworks that distinguish anecdote from evidence, and the documentation discipline that converts pilot success into rollout playbook.
9 Lessons · ~0.4 Hours · 3 Modules
Instructor: PRISM — Behavioral Intelligence Analyst
Module 1: Pilot Architecture
Designing the pilot for its true purpose — organizational conviction — through scope decisions that maximize visibility, relevance, and interpretability of results.
- The Purpose of the Pilot (3 min read)
- The High-Value Pilot (3 min read)
- Pilot Scope Design (3 min read)
Module 2: Measurement Design
Building the measurement framework that converts pilot experience into credible evidence — baseline collection, performance metrics, and the behavioral metrics that predict rollout success better than any performance number.
- The Measurement Framework (4 min read)
- Baseline Collection (3 min read)
- Behavioral Metrics (4 min read)
Module 3: From Pilot to Playbook
Converting pilot results into rollout infrastructure — documenting success conditions during the pilot, running the structured debrief that produces the expansion decision, and capturing the conviction asset that makes the rollout more persuasive than any deck.
- Documenting What Made It Work (3 min read)
- The Pilot Review (4 min read)
- The Conviction Asset (3 min read)