Batch Findings Report

• Batch ID: batch-010
• Date: 2026-06-27
• Measurement Standard: FEMS-1
• Artifacts Included:
• Bloom’s Taxonomy
• Kolb Learning Cycle
• Kirkpatrick Model
• CIPP Evaluation
• Appreciative Inquiry
• Theory U
• Polarity Management
• McKinsey 7S
• ADKAR
• Kotter 8-Step Change Model
• Summary: Initial draft characterizations were created for 10 artifacts in the Learning / Change / Organization slice of the corpus. Findings remain provisional.

Identity Findings

• framework: 3
• methodology: 3
• model: 3
• taxonomy: 1

Capability Findings

• Alignment: 2
• Assessment: 5
• Classification: 1
• Communication: 7
• Coordination: 3
• Decision Support: 1
• Evaluation: 3
• Execution: 1
• Innovation: 2
• Learning: 6

Composition Findings

• Composition was recorded where reasoning structure appeared material.
• Non-reasoning artifacts retained sparse composition fields to avoid false precision.

Lifecycle Findings

• emerging: 1
• established: 9

Ambiguities

• Identity labels remain provisional for boundary cases in this batch.
• Capabilities may narrow after independent review.

Boundary Cases

• Bloom’s Taxonomy
• CIPP Evaluation
• Appreciative Inquiry
• Theory U

Instrument Findings

• The identity-capability split appears usable for this batch.
• Additional blind review is still required before claiming stability.

Proposed Capability Vocabulary Changes

• None at this time.

Proposed KACS Changes

• None at this time.

Evidence Ledger Updates

• No batch-specific ledger claim added automatically.

Deferred Insights

• No new deferred insight proposed automatically.

Next Batch Recommendations

• Continue with post-batch review using the same instrument.
• Prioritize blind review before revising identity or capability assignments.