AI Training Impact Dashboard

Post-training metrics across completion, learning, behavior transfer, and business results. Toggle between cohort scenarios to see how program design affects outcomes.

Cohort scenario

Week 1-4 results for a 24-person cohort with standard facilitation and no pre-work requirement.

79%

Program completion rate

Industry avg: 61%

+31pts

Avg pre-to-post score gain

44% to 75% avg

68%

30-day AI adoption rate

Target: 80%

2.1hrs

Avg weekly time saved

Per participant

Pre vs. Post Assessment Scores by Competency

Kirkpatrick Level 2 — learning measurement across all 7 competency areas

Weekly Completion and Engagement

Cumulative program completion rate and active engagement by week

Completion rate

Engagement score

Prompt Proficiency Distribution

Learner proficiency tiers after lab completion

Supervisor Validation Status

30-day post-training validation by department

Business Impact Summary — Kirkpatrick Level 4

Annualized estimates based on 24-participant cohort at 2.1 hours saved per week

2,620

Hours saved annually
across cohort

$78,600

Estimated labor cost
recovered (at $30/hr avg)

43%

Reduction in AI-related
errors at 60 days

L1 Reaction

Learner satisfaction

End-of-program survey across 5 dimensions: content relevance, facilitator quality, pacing, materials, and confidence gained.

Avg satisfaction: 4.2 / 5.0 · 91% would recommend to a colleague

L2 Learning

Knowledge and skill acquisition

Pre-to-post assessment comparison across 7 competency areas. Prompt proficiency scored via AI rubric across 5 lab exercises.

Avg score gain: +31 points · 79% achieved passing score of 75%+

L3 Behavior

On-the-job behavior transfer

Supervisor validation checklist completed at 30 days. Tracks 12 observable behaviors across AI use, prompt quality, validation habits, and responsible use.

68% active AI adoption at 30 days · 74% supervisor validation completed

L4 Results

Organizational impact

Weekly time-savings self-reported at 30 days, annualized across cohort. Error rate reduction measured via supervisor reports and workflow audit.

2,620 hours saved annually · $78,600 labor cost recovered · 43% error reduction

This dashboard demonstrates measurement-first program design. If you are building an AI enablement program that you need to prove works, let’s talk.

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