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How We Measure

A fair, structured and transparent evaluation system.

Every answer is evaluated fairly using official answer keys, 8 clear skill parameters, and built-in anti-cheat protections.

01 Question Types

Descriptive and scenario questions.

A mix of practical scenarios and multiple-choice questions to assess real-world application, not just memorization.

Question 3 of 40
02:14

Write a system prompt to distill a technical report into a summary.

You are an expert analyst. Extract exactly three bullet points...
02 Smart Evaluation

Consistent rubric grading.

Written responses are evaluated against fixed scoring rubrics with no random grading drift.

Rubric Breakdown
Evidence
Depth
Practical
Clarity
03 8-Parameter Scoring

Every answer is scored across 8 key parameters.

Written and spoken responses are evaluated across eight clear parameters to ensure consistent and fair scoring:

01Accuracy
Correctness of information
02Evidence
Factual backing and references
03Depth
Level of understanding
04Practical App.
Real-world usability
05Risk Awareness
Identifying limits and failure modes
06Ethical Aware.
Responsible and fair use
07Clarity
Structure and communication
08Completeness
Covers key aspects
Integrity Protected: Anti-cheat checks run separately
04 Baseline

Enterprise calibration.

Our rubrics are informed by internal frameworks to ensure reliability without unverified claims.

Ent.
Sec.
Comp.
05 Automated Consistency

Locked rules for accuracy and safety.

Automated checks verify key concepts, safety boundaries, and eliminate subjective or biased grading.

Automated Concept Checks
Contains key concept
Mentions risk
Provides appropriate context
Does not suggest unsafe practice
Passes core checks
3 / 4 criteria met

The 8 Standardized Rubric Parameters

Every open-ended answer is graded exclusively across these 8 defined criteria:

Evaluation Matrix v2.4
01

Accuracy

Technical correctness and factual validity

02

Evidence

Factual backing, concrete examples, and verified references

03

Depth

Nuance, detail, and conceptual grasp

04

Practical Application

Feasibility in real workplace workflows

05

Risk Awareness

Identification of AI limitations, failure modes, and mitigation

06

Ethical Awareness

Bias, transparency, and responsible AI principles

07

Clarity

Structured, unambiguous articulation

08

Completeness

Thorough coverage of all required components

What we do not claim: Vivoki measures diagnostic readiness and practical judgment against our published 4-domain framework. It is not an accredited academic degree, a statutory professional license, or an adaptive IQ test. Scores represent verified evidence of capability at the time of evaluation.

Readiness Profile

A clear picture of your capabilities.

Your assessment has been evaluated and mapped across four key domains, showing your strengths, areas for improvement, and recommended next steps.

Overall

Overall Readiness

Your current level of AI literacy and readiness based on your assessment responses.

Assessment Completed
40 / 40 questions
78/ 100
Readiness Level
Proficient

You have a strong understanding of AI concepts and can apply them in many real-world situations.

Domains

Domain Scores

Your performance across the four assessment domains.

AI Foundations

Understanding core concepts.

82

Functional AI

Applying AI effectively.

76

Compliance & Ethics

Responsible and ethical AI use.

74

Security & Risk

Understanding risks and privacy.

80
Strengths

Your Strengths

Areas where you performed well and can confidently apply your knowledge.

Core AI Concepts

Strong understanding of fundamentals.

Real-world Application

Good ability to identify use cases.

Ethical Awareness

Clear understanding of responsible use.

Focus

Areas to Improve

Topics to focus on to further develop your capabilities.

Security and Risk Management

Strengthen understanding of data privacy.

Regulatory Compliance

Learn more about AI regulations.

Advanced Tool Usage

Build deeper hands-on experience.

Next Steps

Recommended Steps

Personalized learning modules based on your results.

AI Security Basics

Video • 20 min • Beginner

AI Regulations and Compliance

Video • 25 min • Intermediate

Applied Practice with AI Tools

Hands-on • 30 min • Intermediate

Score Band Calibration

Standardized cut scores establish clear capability tiers across all 4 domains:

Beginner
0–49%
Developing
50–69%
Proficient
70–84%
Advanced
85–100%

Framework Alignment

Curriculum and assessment criteria map to recognized global workforce standards:

US Department of Labor (DOL) AI CompetenciesCovers key literacy dimensions: foundational mechanics, workflow application, and workplace ethics.
NIST AI Risk Management Framework (AI RMF)Security and risk domains align with Govern, Map, Measure, and Manage functions for safe AI deployment.
EU AI Act (Article 4 - AI Literacy Measures)Provides documentable evidence of organizational measures taken to foster employee AI literacy.