Assessment scenario coverage

AI fluency assessment scenarios for research and strategy

Observe how participants evaluate sources, distinguish evidence from inference and synthesize a qualified recommendation with optional AI support.

These scenarios focus on evidence navigation and synthesis in a bounded research or strategy assignment. They do not certify expertise or predict performance across a full professional role.

Current scenario families

These scenario labels describe the current assessment coverage in this work category.

Market Research and Insights

A research context that asks the participant to assess source quality, reconcile market evidence and communicate findings with appropriate caveats.

Strategy Analyst

A decision-support context that asks the participant to compare alternatives, expose assumptions and produce a defensible recommendation.

What the simulation can make observable

The assessment creates a traceable path from source review through AI-supported analysis to the submitted recommendation.

Key points

  • Source judgment

    Distinguishes relevant, authoritative and current evidence from weak or merely convenient material.

  • Claim discipline

    Keeps sourced facts, calculations, interpretations and recommendations meaningfully separate.

  • Synthesis

    Combines conflicting or incomplete evidence without presenting uncertainty as certainty.

  • Audience fit

    Communicates the decision, rationale, limitations and next questions in a form the intended audience can use.

How to interpret the result

Research quality is affected by the available source set, domain knowledge and time. Telemetry can show that a source was opened or that a revision occurred, but it cannot fully reveal the participant's internal reasoning.

The report should connect claims to available evidence and disclose uncertainty. It should not turn one task into a general intelligence, expertise or job-performance claim.

One fixed AI fluency framework

All scenarios use the same six-pillar construct: Context Framing, Evidence Navigation, AI Orchestration, Verification & Risk Control, Judgment & Synthesis, and Communication & Delivery.

The task and evidence opportunities vary by scenario. The interpretation should remain bounded to what the assessment made relevant and what the available evidence can support.

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Tell us what kind of AI-enabled work you want to understand. We will help determine whether an existing assessment scenario fits the context.

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Two Prune

Evidence-aware assessments of how people work with AI.