25-question assessment

Choose the answer that sounds most like you.

This forced-choice assessment maps your AI adoption pattern across four research-informed MVP archetypes.

0 of 25 answered

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Question 1 · AI Curiosity

When you hear about a new AI tool, your first instinct is to:

Try it quickly to see what it can doResearch how it works and whether it fits the systemLook for a practical use case in your daily workWait for evidence that it is reliable and worth using

Question 2 · Usage Frequency

When using AI at work, you are most likely to:

Experiment with new ways it could change the businessCreate standards for when and how it should be usedUse it to speed up tasks you already doCheck its outputs carefully before trusting it

Question 3 · Change Leadership

If your team is considering an AI initiative, you tend to:

Push the team to pilot it quicklyDefine ownership, process, governance, and success metricsAsk how it will improve everyday workflowAsk what could go wrong and how to validate it

Question 4 · Risk Sensitivity

Your biggest concern with AI adoption is:

Missing the opportunity by moving too slowlyCreating disconnected experiments without structureAdding complexity without saving timeTrusting inaccurate or risky outputs

Question 5 · Business Value

The best AI use case is one that:

Creates a new possibility or competitive advantageCan be scaled safely across the organizationMakes work faster, easier, or better todayCan be validated with evidence and controls

Question 6 · Learning Style

When learning AI, you prefer to:

Jump in and learn by experimentingUnderstand the framework before scaling usageLearn through examples tied to your workLearn the limitations and verification methods first

Question 7 · Tool Selection

When choosing an AI tool, you prioritize:

Potential to unlock new ideas or workflowsIntegration, governance, permissions, and scalabilityEase of use and immediate productivityAccuracy, security, reliability, and risk controls

Question 8 · Team Influence

When others are unsure about AI, you typically:

Encourage them to try a small experimentCreate a structured process to guide adoptionShow them a practical example that saves timeHelp them evaluate risks and verify outputs

Question 9 · Pilot Approach

Your ideal AI pilot would be:

Bold enough to show what is possibleDesigned with clear process, ownership, and metricsFocused on a common workflow pain pointLow-risk, measurable, and carefully evaluated

Question 10 · Communication Style

When explaining AI to others, you emphasize:

Possibility and momentumStructure and responsible adoptionPractical value and time savingsEvidence, trust, and limitations

Question 11 · Failure Response

If an AI experiment fails, you are most likely to:

Iterate quickly and try a better versionStudy what broke in the system or processAsk whether it actually solved the workflow problemUse the failure as evidence to strengthen controls

Question 12 · Future View

You believe AI will most likely:

Transform how organizations create valueRequire new operating models and governanceBecome a normal productivity layer in daily workNeed careful management to avoid harm or misuse

Question 13 · Documentation

When adopting AI, documentation is:

Useful after the idea proves itselfEssential before scaling the workflowHelpful if it makes the process easier to repeatNecessary to verify quality, risk, and accountability

Question 14 · Adoption Blocker

The biggest blocker to AI adoption is often:

Lack of imagination or urgencyLack of structure and ownershipLack of practical workflow fitLack of trust and validation

Question 15 · Personal Goal

Your personal AI goal is to:

Lead meaningful change with AIBuild scalable AI practicesUse AI to become more productive and effectiveUse AI safely, responsibly, and accurately

Question 16 · Meeting Use Case

In a meeting-heavy week, you would use AI to:

Generate new ideas and options from discussion themesTurn discussions into structured action plansSummarize notes and draft follow-upsCheck assumptions and identify unresolved risks

Question 17 · Prompting Style

Your prompts tend to ask AI to:

Brainstorm possibilities and alternative strategiesCreate frameworks, plans, systems, or standardsDraft, summarize, organize, or automate workCritique, verify, compare, or identify risks

Question 18 · Leadership Role

In an AI transformation, you naturally want to be:

The momentum creatorThe system designerThe practical adopterThe quality and trust guardian

Question 19 · Training Preference

The AI training you would value most is:

How to spot and lead high-value AI opportunitiesHow to design governance and scalable workflowsHow to use AI in daily work immediatelyHow to evaluate outputs and manage risk

Question 20 · Success Metric

You know AI is working when:

It changes what the team believes is possibleIt becomes a repeatable, governed capabilityIt saves time and improves quality of workIt produces trusted, validated, responsible outcomes

Question 21 · Reaction to Hype

When AI hype is high, you:

Look for the real opportunity underneath itSeparate hype from operating implicationsFocus on what is actually useful todayLook for unsupported claims or hidden risks

Question 22 · Cross-Functional Work

In cross-functional AI work, you contribute most by:

Creating enthusiasm and directionDesigning how the work should flowMaking sure the solution fits real tasksProtecting quality and asking hard questions

Question 23 · Preferred Pace

Your preferred pace for AI adoption is:

Fast experimentation with visible momentumControlled scaling through defined stagesSteady adoption through useful workflowsCautious adoption after evidence is strong

Question 24 · Executive Pitch

Your AI pitch to leadership would focus on:

Strategic opportunity and competitive advantageOperating model and scalable governanceEfficiency gains and workflow improvementsRisk mitigation, quality, and responsible use

Question 25 · One Sentence Identity

Which statement sounds most like you?

I help people see what AI could make possible.I help turn AI into a structured, scalable capability.I help make AI useful in everyday work.I help make AI trustworthy, safe, and evidence-based.