Interactive BMC for SHUR IQ, populated from the March 19 strategy session. Click any item for additional context.
Key Partners
Kevin Mowrer
Content methodology architect. Brings audience agency framework and deep media measurement expertise. One-degree introductions to entertainment clients.
Shawn Dennis
Board advisor with VC and governance network. Opens doors to portfolio diagnostics opportunity. Gray rhino framing champion.
Michael Engleman
Entertainment industry veteran. Validates methodology against industry standards (Parrot Analytics, Ampere). Dimension separation feedback.
Client connections
Regina (Deckers), industry introductions via Kevin and Shawn. Each client engagement generates referral potential.
Key Activities
Weekly intelligence reports
Recurring cadence deliverables showing delta tracking, stack rank movements, and attention stack shifts per client vertical.
Source enrichment
Continuous expansion of data sources feeding the ontology. Adding content analysis, social sentiment, and boots-on-ground signals.
Ontology refinement
Multi-layer ontology system tuning: weight profiles per vertical, dimension separation, and category-specific scoring models.
Client workshops
Interactive sessions where clients modulate scoring weights and explore their competitive landscape with the team.
Key Resources
Multi-layer ontology system
Proprietary knowledge architecture that separates dimensions, tracks weights, and enables cross-vertical application of the same methodology.
InfraNodus knowledge graphs
Network graph analysis for gap detection, bridge identification, and structural insight extraction from client data.
AI agent teams
Claude-powered agent ecosystem: Scout, Content Factory, Intelligence, Knowledge, and Memory agents operating in coordination.
Persistent intelligence
Accumulating intelligence over time. Each weekly report builds on the last, creating compounding analytical value that competitors cannot replicate.
Value Propositions
Governance-level question refinement
Helps C-suite ask better strategic questions. Not just answers, but improved framing of the questions themselves. Board-ready intelligence.
Defensible methodology
Not a black-box AI. Transparent ontology, visible weights, explainable scoring. Clients can interrogate the methodology, not just consume outputs.
Cross-vertical applicability
Same core methodology applied across entertainment, consumer brands, nonprofit, and tech verticals with vertical-specific weight profiles.
Predictive gray rhino identification
Forward-looking risk detection. Identifying highly probable, high-impact threats that competitors ignore. From Shawn's strategic framing.
Customer Relationships
3-tier engagement model
Tier 1: Strategic diagnostics. Tier 2: Ongoing intelligence cadence. Tier 3: Full embedded advisory with custom ontology development.
Interactive scoring
Experian boost model: let clients modulate their own weights and explore scenarios. Self-serve layer on top of analyst-driven intelligence.
Weekly cadence reports
Regular touchpoints that maintain engagement and demonstrate accumulating value. Each report references delta from prior period.
Channels
Stack ranking demand gen
Published stack rankings as public-facing lead magnets. Companies see themselves ranked and want to understand the methodology.
One-degree introductions
Kevin, Shawn, Michael each bring direct client connections. Warm introductions vs. cold outreach. Network effect of advisor relationships.
Industry reports as leads
Free vertical intelligence reports (like the entertainment stack ranking) serve as lead magnets that demonstrate methodology to prospects.
Customer Segments
C-suite executives
CEO, CMO, CSO at mid-market to enterprise companies. Decision-makers who need strategic intelligence, not just data dashboards.
VC firms
Portfolio diagnostics: apply SHUR IQ methodology across portfolio companies. Identify gray rhinos before they materialize. Shawn's framing.
Entertainment / media
Studios, networks, streaming platforms. Content investment decisions informed by audience agency, parasocial dynamics, and attention flows.
Consumer brands
Brand health monitoring, competitive positioning, and predictive risk detection in consumer-facing verticals (e.g., Deckers/Regina engagement).
Cost Structure
AI compute
Claude API costs, InfraNodus subscription, hosting and infrastructure. Scales with client count but marginal cost per client decreases.