Each member of the buying committee encounters a different version of the visibility gap — and each requires a different fix.
Seven personas modeled on real semiconductor procurement committees, each representing a distinct evaluation lens.
Chief Financial Officer
Evaluates financial risk, ROI, and long-term cost predictability for $2.4B investment.
VP Capital Projects
Builds the decision memo. Needs organizational depth and execution evidence.
VP Engineering
Validates technical capability — cleanroom specs, MEP integration, commissioning protocols.
SVP Operations
Assesses operational execution capacity — workforce, scheduling, supply chain resilience.
VP Procurement
Creates the initial shortlist and comparative analysis. The first filter in the process.
Chief Risk Officer / GC
Evaluates compliance, litigation exposure, safety record, and contractual risk.
Owner's Representative
Validates through peer references and past performance. Highest hedging rate of all.
The committee groups into three functional clusters, each with distinct information needs and vulnerability profiles.
The executive cluster drives the strategic decision. Sandra validates financial viability; Diane builds the recommendation memo that goes to the board.
| Metric | Sandra Cho (CFO) | Diane Torres (Capital Projects) |
|---|---|---|
| Turner Unprompted Mentions | 23% | 36% |
| Confidentiality Friction | 49% | 55% |
| Hedging Language | 31% | 38% |
| Funnel Stages | Awareness → Board Defense | Shortlisting → Decision Memo |
| Key Decision Criteria | Financial stability, cost predictability | Organizational depth, execution evidence |
| Biggest Information Gap | Semiconductor-specific financial case studies | Named project references at scale |
The technical cluster validates whether JE Dunn can actually build a semiconductor fab. They need engineering evidence, not marketing claims.
| Metric | Marcus Williams (Engineering) | Kevin Park (Operations) |
|---|---|---|
| Turner Unprompted Mentions | 23% | 34% |
| Confidentiality Friction | 64% | 61% |
| Hedging Language | 42% | 39% |
| Funnel Stages | Technical Validation → Spec Review | Capacity Assessment → Schedule Alignment |
| Key Decision Criteria | Cleanroom experience, MEP complexity | Workforce scale, schedule reliability |
| Biggest Information Gap | Verifiable technical specifications | Workforce deployment case studies |
The commercial/risk cluster controls the gate. Priya builds the shortlist, James validates risk, and Bob confirms through peer references.
| Metric | Priya (Procurement) | James (Risk/GC) | Bob (Owner's Rep) |
|---|---|---|---|
| Turner Mentions | 42% | 5% | 17% |
| Confidentiality Friction | 69% | 38% | 46% |
| Hedging Language | 35% | 28% | 48% |
| Funnel Stages | Market Mapping → Committee Handoff | Risk Assessment → Due Diligence | Reference Validation → Board Prep |
| Key Criteria | Competitive positioning data | Safety, compliance, litigation | Peer references, past performance |
| Biggest Gap | Structured comparison data | Proactive safety narrative | Verifiable peer endorsements |