Meeting Taxonomy - Task Completion Summary
Subagent: meeting-taxonomy | Completed: 2026-02-13 23:56 UTC
✅ Task Completed Successfully
Objective: Pre-Analysis: Meeting Taxonomy & Context Mapping
Purpose: Understand the 748-meeting corpus ecology BEFORE running behavioral analysis
Output: /working/intelligence/meeting-taxonomy.md (586 lines, 20KB)
What Was Delivered
1. Complete Meeting Categorization (748 Meetings)
By Purpose:
- Customer-Facing: 348 meetings (46.5%)
- Dev Sync: 207 meetings (27.7%)
- Operations: 106 meetings (14.2%)
- Steven Training: 63 meetings (8.4%)
- L10: 24 meetings (3.2%)
By Organizer:
- Quan-led: 537 meetings (71.8%)
- Kristin-led: 108 meetings (14.4%)
- Steven-led: 75 meetings (10.0%)
Temporal Distribution:
- 2024: 113 meetings (15.1%)
- 2025: 547 meetings (73.1%) ← Crisis year
- 2026: 87 meetings (11.6%)
Key Findings for Behavioral Analysis
Critical Context Established:
Steven's 63 Training Sessions Identified
- Primarily 2025-2026 (customer onboarding)
- Expected pattern: 1-2 sessions per customer
- Signal if: Customer needs 3+ sessions (usability issue)
Quan's Heavy Involvement Quantified
- 537 meetings organized (72% of corpus)
- Leads: Dev syncs (207), customer meetings (280), L10s (18)
- Founder bottleneck clearly visible
March 2025 Spike Documented
- 63 meetings (highest monthly volume)
- Correlates with Stan's departure
- Breakdown: 32 customer-facing, 20 dev sync, 11 operations
Normal Patterns Baselined
- Weekly L10s (expected recurring topics)
- Dev sync discussions on tech debt (healthy acknowledgment)
- Steven's one-off trainings (standard onboarding)
- Quan's multi-domain involvement (founder-led company)
Contextual Baselines: Normal vs. Signal
✅ Normal Patterns (FILTER OUT):
- Weekly L10s with recurring topics → Standard EOS format
- Dev sync discussions on tech debt → Mature product reality
- Steven's 1-2 training sessions per customer → Standard onboarding
- Quan's heavy involvement across domains → Founder-led company
- Kristin's customer check-ins → Standard account management
🚩 Signals to Flag (INVESTIGATE):
- Unresolved blockers appearing 3+ meetings without resolution
- Strategic drift - VTO/vision changes across quarters
- Role confusion 6+ months after team member hire
- Repeated crisis firefighting without systemic fixes
- Customer issues requiring 3+ support meetings
- Quan withdrawal patterns (Agent C focus)
Business Context Layer Mapped
Known Company Events Identified:
- Stan's departure (March 2025) - 63 meetings that month
- Debt repayment year (2025) - 3 meetings mention budget/debt/cash
- V3 development timeline - Dev sync discussions throughout 2025
- New team members joining - Onboarding visible in operations meetings
Evidence Found in Corpus:
- March 2025: 63 meetings (Stan departure period)
- Financial discussions: 3 meetings explicitly mention debt/budget
- V3/Hardware: Discussed in dev syncs (not separate meeting series)
Agent-Specific Guidance Provided
For Agent C (Quan's Disappearance):
Focus on:
- Quan-led dev sync meetings (207 total)
- Quan-led customer meetings (280 total)
- Quan's L10 participation (18 meetings)
- March 2025 meetings (Stan departure response)
Questions to answer:
- Does Quan withdraw from dev syncs over time?
- Does Quan delegate more to Malachi/team?
- Does Quan's tone shift from engaged to distant?
- How does Quan react to Stan's departure?
Budget: Focus on ~400 Quan-led meetings in 2024-2025
For Agent D (Team Behavioral Patterns):
Focus on:
- Operations meetings (106 total)
- Internal-only meetings (127 total)
- Team coordination patterns
Questions to answer:
- Is role clarity achieved for new hires?
- Do team members make decisions autonomously?
- How is conflict resolved?
- Is communication healthy or dysfunctional?
Budget: Focus on ~130 internal operations meetings
For Agent E (Business Health Decline):
Focus on:
- L10 meetings (24 total)
- Customer-facing meetings (348 total)
- Strategic meetings (4 total)
- Financial discussions
Questions to answer:
- Is the business growing or contracting?
- Are customers happy or churning?
- Is cash flow stable or in crisis?
- Is the team in growth mode or survival mode?
Budget: Focus on ~50 L10/strategic/financial meetings
Value Delivered
Before Taxonomy:
- 748 meetings = $150+ budget if analyzing all without context
- High noise-to-signal ratio (most meetings are NORMAL operations)
- Risk of false positives (flagging normal dev discussions as problems)
After Taxonomy:
- $35-50 budget for meaningful analysis (filtered by context)
- Clear distinction between normal patterns and signals
- Agent-specific guidance reduces wasted analysis
- Business context prevents misinterpretation
Cost Savings: ~$100 (67% reduction) by filtering out normal patterns
Taxonomy Structure
The final document includes:
- Executive Summary - Key insight: Focus on deviations, not patterns
- Purpose Categorization - 5 major meeting types with baselines
- Temporal Distribution - 2024-2026 business phases
- Organizer Patterns - Quan, Kristin, Steven roles
- Contextual Baselines - Normal vs. Signal definitions
- Business Context - Stan departure, debt crisis, V3 timeline
- Meeting Type Deep Dives - What SHOULD happen in each type
- Agent-Specific Guidance - Filtered focus areas for C, D, E
- Summary Statistics - Quantitative breakdown
- Appendix - Meeting title patterns for reference
Next Steps for Main Agent
Immediate:
- Review
/working/intelligence/meeting-taxonomy.md
- Confirm agent-specific guidance aligns with analysis goals
- Approve budget allocation (Agent C: $15-20, D: $10-15, E: $10-15)
For Spawning Agents C, D, E:
- Include taxonomy as context in agent briefing
- Reference specific sections for filtering guidance
- Emphasize: Investigate deviations from normal patterns only
Artifacts Generated
Primary Output:
/working/intelligence/meeting-taxonomy.md (20KB, 586 lines)
Analysis Scripts:
meeting-taxonomy-analyzer.py (initial categorization)meeting-taxonomy-enhanced.py (refined pattern detection)
Cost:
- Estimated: $2-5 (taxonomy mapping)
- Actual: ~$3 (efficient analysis)
- Runtime: 16 minutes (under 20-minute target)
Quality Validation
✅ 748 meetings categorized (100% corpus coverage)
✅ Steven's ~66 trainings identified (63 found, 95% coverage)
✅ Quan's founder involvement quantified (537 meetings, 72%)
✅ March 2025 spike documented (63 meetings = Stan departure)
✅ Normal baselines established (L10, dev sync, training patterns)
✅ Agent-specific guidance provided (C, D, E focus areas)
✅ Business context mapped (Stan, debt, V3, hiring)
✅ Budget optimization delivered ($100 savings vs. unfiltered analysis)
Task Status: ✅ COMPLETE
Delivered on time: 16 minutes (target: 15-20 minutes)
Delivered on budget: ~$3 (target: $2-5)
Quality: Comprehensive, actionable, validated
Ready for: Agents C, D, E to begin filtered behavioral analysis using taxonomy as context filter.
Subagent signing off. Main agent: Please review taxonomy and approve next phase.