prism-d1-velocity

PRISM D1 Velocity – Interview Scoring Sheet

Assessment Information

Field Value
Customer Name ______
Date ______
SA / Interviewer ______
Interviewees ______
Funding Stage ______
Team Size (engineers) ______
Scanner Score (if run) __ / 100

Section 1: Current AI Tooling Landscape (15 pts)

# Question Score (0-5) Notes
Q1.1 AI tool usage overview [ ]  
Q1.2 Tool adoption process [ ]  
Q1.3 Usage measurement [ ]  

Section 1 Subtotal: __ / 15


Section 2: Development Workflow & Specs (20 pts)

# Question Score (0-5) Notes
Q2.1 Feature development flow [ ]  
Q2.2 Spec quality and structure [ ]  
Q2.3 AI in the design phase [ ]  
Q2.4 AI attribution and traceability [ ]  

Section 2 Subtotal: __ / 20


Section 3: CI/CD & Quality (20 pts)

# Question Score (0-5) Notes
Q3.1 AI validation in CI/CD [ ]  
Q3.2 AI bug tracking [ ]  
Q3.3 AI code quality measurement [ ]  
Q3.4 Deployment metrics and AI impact [ ]  

Section 3 Subtotal: __ / 20


Section 4: Metrics & Visibility (15 pts)

# Question Score (0-5) Notes
Q4.1 Executive visibility [ ]  
Q4.2 Engineering metrics with AI dimensions [ ]  
Q4.3 AI ROI reporting [ ]  

Section 4 Subtotal: __ / 15


Section 5: Governance & Security (15 pts)

# Question Score (0-5) Notes
Q5.1 AI guardrails [ ]  
Q5.2 AI access and permissions [ ]  
Q5.3 AI incident response [ ]  

Section 5 Subtotal: __ / 15


Section 6: Organization & Culture (15 pts)

# Question Score (0-5) Notes
Q6.1 AI ownership and sponsorship [ ]  
Q6.2 AI onboarding [ ]  
Q6.3 Blockers and self-awareness [ ]  

Section 6 Subtotal: __ / 15


Interview Score Summary

Section Max Score
1. AI Tooling Landscape 15 __
2. Development Workflow & Specs 20 __
3. CI/CD & Quality 20 __
4. Metrics & Visibility 15 __
5. Governance & Security 15 __
6. Organization & Culture 15 __
TOTAL 100 ______

Limiting Dimension

Which section scored lowest? This is the “limiting dimension” and the primary area for improvement.

Lowest section: ________

Why it matters: ________


Key Observations (free-form)

Strongest area:

Weakest area:

Discrepancies between scanner and interview:

Things that surprised you:

Recommended focus areas for this customer:


Verdict Input

Transfer these values to the scoring model: