STATE Capture
USE CASE & CONTEXT
Capture the organizational state — the starting signal of your cognitive lean loop.
Work Role Context
STATE — Org Signal
Use Case Definition
STATE — Loop Signal
AI Context Analyst
State · Sense → Dialogue
"What key themes, risks, and opportunity signals emerge from this use case?"
"What lean waste categories (Muda, Mura, Muri) are present?"
AI ANALYSIS
STATE Define
5S DESIRED OUTCOME
Which lean principle defines what this workflow must achieve?
✓
S1
Sort
Eliminate waste. Identify what belongs and what to remove.
✓
S2
Straighten
Organize for efficiency. Right place, right time.
✓
S3
Shine
Audit quality. Surface hidden problems.
✓
S4
Standardize
Codify best practices. Make excellence repeatable.
✓
S5
Sustain
Maintain gains through coevolution.
Future State Specification
AI Outcome Advisor
State · Define Future State
"Given this use case and 5S selection, what does a successful future state look like in concrete terms? What KPIs apply?"
AI RECOMMENDATION
STATE Signal
TRIGGERS
What condition initiates this cognitive lean loop? Select all that apply.
Constraints
Resource, time, or capacity limits require restructuring
Defining Value
A need to clarify or redefine what stakeholders value
Mapping Value Streams
Visualize or redesign end-to-end value delivery
Value Chain Relevance
Audit where value is — or isn't — being created
Waste Reduction
Identify and eliminate non-value-adding activities
Process Audit / Shine Signal
Quality review revealed hidden friction or defect
Standardization Need
A repeatable process requires documentation
Coevolution Signal
AI + human interaction revealed a new adaptation opportunity
Custom Trigger
AI Signal Analyst
State · VCRT Tags + Timing
"Given the use case and selected triggers, what VCRT tags apply and what are any implied missing triggers?"
AI SIGNAL ANALYSIS
COMPUTE H2H
HUMAN AGENCY
Define how human decision-makers assess opportunity from this use case.
◎
COMPUTE (H2H): This is the human sensing layer — strategic judgment, empathy, and pattern recognition. Capture who decides and what they evaluate that AI cannot.
Human Decision Configuration
COMPUTE → H2H
AI Session Coach — Human Agency
Compute · H2H Facilitation
"What new insight or signal has emerged? Where do you feel uncertain or stuck? What must change?"
AI COACHING RESPONSE
COMPUTE H2A
AI AGENCY
Configure how AI computes opportunity — the H2A cognition layer.
⬡
COMPUTE (H2A): AI analyzes and synthesizes outputs from the full state captured. Configure which AI capabilities apply, then run the deep synthesis.
AI Compute Configuration
COMPUTE → H2A
AI Deep Analysis — Full State Synthesis
Compute · H2A · Full Loop Integration
"Synthesize all signals: use case, triggers, outcomes, human insight → structured analysis with themes, risks, opportunities, VCR patterns, and JTBD seeds."
AI SYNTHESIS OUTPUT
PRESCRIBE Build
COMPONENTS
Define each component — what it does and what AI capability powers it.
AI Component Architect
Prescribe · Build
"Based on the use case, 5S outcome, and triggers, what workflow components should be designed? Which AI capabilities best serve each?"
AI COMPONENT RECOMMENDATIONS
PRESCRIBE Connect
CONNECTORS
Assign how each component connects across Input/Output, Feedback, Exchange, and Human Agency.
↔ Input/Output
↩ Feedback
⇄ Exchange
◎ Human Agency
Component
↔ Input/Output
↩ Feedback
⇄ Exchange
◎ Human Agency
AI Connector Advisor
Prescribe · Connect · Coevolution Pattern
"For each component, what connector roles create the most effective cognitive lean flow? Where are the coevolution touchpoints?"
AI CONNECTOR ADVICE
842 LOOP Jobs → Priority → Action
842 LOOP
The Coevolutionary.AI Path — 8 Jobs to 4 Priorities to 2 Batch Actions.
STATE
Phases 1–3
Use Case + Triggers
→
COMPUTE
Phases 4–5
Human + AI
→
PRESCRIBE
Phases 6–7
Components
→
842 LOOP
Phase 8
8→4→2
1
Activate the Cognitive Loop
Elicit raw insight to feed JTBD extraction
60–90 Min
AI SYNTHESIS
2
Identify 8 Jobs-To-Be-Done
Articulate 8 specific jobs from AI output + use case context
Start: "The business needs to…"
AI JTBD GENERATION
3
Prioritize Top 4 JTBDs
Rank by Urgency, Impact, Feasibility
UIF Matrix
U — Urgency
Is this time-sensitive or critical?
I — Impact
Will solving this create momentum?
F — Feasibility
Can this be acted on now?
AI PRIORITY RANKING
4
Identify 2 Batch Actions
Convert top JTBDs into testable 2–10 day sprint activities
Sprint: 2–10 Days
Action Item 1
Action Item 2
AI BATCH ACTION RECOMMENDATIONS
5
Restate Value & Growth Hypotheses
Refine core assumptions based on JTBD exercise
Regeneration Seed
Value Hypothesis
"We believe our stakeholders derive the most value when…"
Growth Hypothesis
"We believe we will grow / scale / sustain by…"
AI HYPOTHESIS RESTATEMENT
6
Reflection & Reset
Close the loop — prepare cognitive state for next iteration
Loop Closure
"What surprised you during this session?"
"What are you most excited to try next?"
"What risk are you now ready to confront?"
"What will success look like at our next checkpoint?"
AI SESSION SUMMARY + NEW STATE BASELINE
Workflow Summary
Cognitive Lean Enterprise — Complete Map
Complete earlier phases to build your workflow map.