🧠 ZTAG ORG COGNITION ANALYSIS

Master Research Spec v1.0

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🎯 Objective

Use the full Fathom meeting corpus (~748 meetings, Sep 2021 → Feb 2026)
as a longitudinal dataset to identify:

1. Hidden organizational blind spots
2. Operator identity formation dynamics
3. Decision-making bottlenecks
4. Alignment (or drift) from VTO
5. Internal engagement decay
6. Role--Reality mismatches
7. Cultural vs technical scaling constraints

We are not summarizing meetings.

We are extracting:

Latent cross-meeting behavioral patterns
that would not be visible through human micro-cognition
but become obvious across hundreds of meetings.

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📂 Data Sources

Primary:

working/meetings/YYYY-MM-DD/*.json

Reference:

reference/ztag/ZTAG-VTO-Vision-Traction-Organizer.md

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🧬 Analysis Framework

Spin up the following agents in parallel:

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Agent A --- Identity Adoption Event (IAE) Detector

Detect linguistic transitions in operator-facing calls where ZTAG shifts
from:

Externalized Product Framing:

• "the system"
• "the tags"
• "this curriculum"
• "how do I use it?"

to:

Internalized Ownership Framing:

• "my kids"
• "we run this weekly"
• "our game"
• "my Playmakers"
• "we modified this"
• "they asked for another round"

Output:

deployment_id
meeting_date
speaker
pre_shift_examples
post_shift_examples
shift_confidence_score (0–1)

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Agent B --- Shelfware Risk Detector

Across deployments with no IAE detected, scan for:

• re-training requests
• storage language ("still in the crate")
• ownership diffusion
• scheduling failure
• unresolved onboarding

Output:

deployment_id
shelfware_risk_score
risk_pattern_examples

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Agent C --- Organizational SWOT Extractor

From internal meetings only:

Infer:

Strengths:

• action follows discussion within 2--4 weeks
• stable ownership across quarters

Weaknesses:

• recurring unresolved topics
• 3+ meetings before action

Opportunities:

• deferred internal initiatives
• Playmaker feedback loops not integrated

Threats:

• rising external expectations
• LMS activation tied to individuals
• technical debt dominating airtime

Output:

SWOT_heatmap_by_workstream
representative_excerpts

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Agent D --- Decision Latency Mapper

For each issue raised:

Track:

problem_first_mentioned_date
decision_date
execution_reference_date
latency_days

Cluster by:

• hardware
• LMS
• training
• firmware
• operator engagement

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Agent E --- Phantom Topic Detector

Detect topics that:

• recur across ≥3 meetings
• change framing each time
• lack execution reference

Output:

topic
meeting_count
first_seen
last_seen
execution_detected (Y/N)

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Agent F --- Internal Alignment Gradient Mapper

Per speaker:

Score:

• Mission framing (hardware vs SEL vs LMS vs SDK)
• Ownership behavior
• Decision horizon
• Cross-team referencing
• Initiative follow-through

Cluster into:

• Aligned Operators
• Functional Specialists
• Strategic Interpreters
• Drift Nodes

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Agent G --- Engagement Decay Curve

For each participant:

Track over time:

• meeting participation frequency
• speaking turns
• initiative initiation
• commitment revisit rate

Detect:

• early champions now silent
• rising new contributors
• airtime ↑ but delivery ↓

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Agent H --- Role--Reality Mismatch

Compare:

• stated role
  vs
• conversational domain

Detect:

• domains socially acknowledged but structurally unowned
• informal leaders outside remit
• critical surfaces without stable ownership

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Agent I --- VTO Semantic Alignment Auditor

Load:

reference/ztag/ZTAG-VTO-Vision-Traction-Organizer.md

Extract:

• Core Values
• Core Focus
• 10-Year Target
• Market Focus
• Anti-Partner Criteria

Score each internal meeting:

core_values_alignment (0–1)
core_focus_alignment (0–1)
market_alignment (0–1)
10yr_trajectory_alignment (0–1)
anti_partner_guardrail_adherence (0–1)

Detect:

• persistent mission drift
• initiatives conflicting with core focus
• role-level alignment breakdown

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Agent J --- Playmaker Formation Index (PFI)

Compute:

PFI =
(Identity Adoption Events × Post-Adoption Engagement)
÷ Shelfware Risk

Rank deployments by:

PFI_score

Top quartile = locally legitimized ZTAG nodes

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📊 Final Deliverables

Produce:

1. Identity Adoption Distribution
2. Shelfware Risk Distribution
3. SWOT Heatmap
4. Decision Latency Clusters
5. Phantom Topic Index
6. Alignment Cluster Map
7. Engagement Decay Graph
8. Role--Reality Mismatch Table
9. VTO Alignment Heatmap
10. Persistent Drift Patterns
11. Top 25 Deployments by PFI
12. Reorg / Reset Recommendations based on:
    • alignment
    • ownership gaps
    • coordination load

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Execution Notes

• Use transcript text only
• Ignore dev-only meetings for IAE detection
• Include all internal meetings for SWOT / VTO
• Use speaker metadata when available
• Run all agents concurrently

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Primary Question to Answer:

Is ZTAG's scalable growth unit:

Systems deployed
or
Playmaker identities installed?