Archetypes of Automation — Team Capability Assessment

8 Dimensions of Automation Readiness · A framework by Brian Simpson

Individual Assessment

Capability Radar

Score Summary

0
out of 80
Early-Stage Team

Assessment Perspectives

Perspectives Radar

Gap Analysis

Lowest to Highest avg

The Archetypes of Automation Framework

This framework helps teams identify their collective strengths and gaps across 8 dimensions of automation capability — regardless of industry, size, or technical maturity.

The core insight: the biggest barrier to automation is not technical skill — it is process thinking, team composition, and role awareness. No single person covers all archetypes. Teams assess collectively and use the gap analysis to guide hiring, training, or partnership decisions.

How to Use This Tool

Individual Assessment tab: Enter the name of the person being assessed, then score their capability 0–10 on each archetype. Expand each archetype to read the sub-archetype descriptions and ask: does this person demonstrate these characteristics? Use Export to save as JSON, or click + Add to Team Assessment to include them in the team view.

Team Assessment tab: Collect assessments from multiple people and overlay them on the same radar. Where perspectives diverge, that disagreement is signal. Where they converge on low scores, those are your most urgent gaps. Use Generate Report to produce a printable PDF summary of the team’s capability profile.

Individual Capability Profiles

Total (out of 80)Profile
0–20Automation Newcomer
21–35Developing Contributor
36–50Capable Generalist
51–65Strong Practitioner
66–80Automation All-Rounder

Scoring Bands

ScoreMeaning
0–2No demonstrated capability in this area
3–4Emerging — shows instinct but no consistent, structured practice
5–6Functional — can contribute meaningfully, but with notable gaps
7–8Strong — reliable and practiced; others lean on them here
9–10Exceptional — a defining strength; sets the standard

Framework Citations

FrameworkSource
Theory of ConstraintsEliyahu M. Goldratt & Jeff Cox, The Goal: A Process of Ongoing Improvement (1984)
Lean / Toyota Production SystemTaiichi Ohno, Toyota Production System: Beyond Large-Scale Production (1988); James P. Womack & Daniel T. Jones, Lean Thinking (1996)
Design ThinkingIDEO, The Field Guide to Human-Centered Design; Stanford d.school, Design Thinking Resources
Agile / ScrumBeck et al., Manifesto for Agile Software Development (2001); Jeff Sutherland & Ken Schwaber, The Scrum Guide
Diffusion of InnovationsEverett M. Rogers, Diffusion of Innovations (5th ed., 2003)
Kotter's 8-Step Change ModelJohn P. Kotter, Leading Change (1996)
Prosci ADKARJeff Hiatt, ADKAR: A Model for Change in Business, Government and Our Community (2006); Prosci ADKAR Model Overview
RACI MatrixProject Management Institute, A Guide to the Project Management Body of Knowledge (PMBOK Guide)
Team TopologiesMatthew Skelton & Manuel Pais, Team Topologies: Organizing Business and Technology Teams for Fast Flow (2019); teamtopologies.com
Cynefin FrameworkDave Snowden & Mary Boone, “A Leader’s Framework for Decision Making” (Harvard Business Review, 2007)
FMEAUS Military Procedure MIL-P-1629 (1949); ASQ FMEA Overview
Thinking in SystemsDonella H. Meadows, Thinking in Systems: A Primer (2008, posthumous ed.)
Co-Intelligence / AI CollaborationEthan Mollick, Co-Intelligence: Living and Working with AI (2024); One Useful Thing (Substack)
Tacit vs. Explicit KnowledgeIkujiro Nonaka & Hirotaka Takeuchi, The Knowledge-Creating Company (1995)
Jobs To Be DoneClayton M. Christensen, Taddy Hall, Karen Dillon & David S. Duncan, Competing Against Luck: The Story of Innovation and Customer Choice (2016)
Pre-Mortem AnalysisGary Klein, “Performing a Project Premortem” (Harvard Business Review, 2007)

Contribute & Feedback

This framework is open source. Found an issue, have a suggestion, or want to contribute? Visit the project repository on GitHub.

github.com/bmsimp/automation-archetypes-assessment