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Forever Skills Self-Assessment

Core Capabilities for the AI Era.

Evaluate your proficiency in the 10 timeless skills that transcend technological change

Instructions

Rate each statement based on how consistently you demonstrate this behavior in your professional work. Focus on actual patterns, not aspirations or occasional instances.

1 Never
2 Rarely
3 Sometimes
4 Often
5 Always

1 Sensemaking

Distilling meaning from messy, contradictory, and overwhelming information streams
I quickly establish what is known, unknown, and disputed in messy situations.
I produce a clear narrative that explains what the signals mean for our context.
I treat the loudest data as the most important without checking relevance.

2 Integrated Reasoning

Blending multiple reasoning approaches with probabilistic thinking and contextual judgment
I combine qualitative observations with quantitative evidence before deciding.
I reconcile conflicting inputs rather than picking the one that fits my view.
I ignore context when the numbers look clean.

3 Probabilistic Thinking

Reasoning in ranges, likelihoods, and conditional scenarios rather than binary predictions
I express forecasts as ranges with likelihoods.
I update my odds when new information arrives.
I present single-point estimates as facts.

4 Systems Thinking

Seeing patterns, leverage points, and unintended consequences in complex, interconnected systems
I map cross-functional ripple effects before changing a process.
I look for feedback loops that could amplify or dampen results.
I optimize for my team even if it harms the larger system.

5 Strategic Unlearning

Systematically identifying and replacing outdated mental models, assumptions, and approaches
I retire once-successful tactics that no longer fit current conditions.
I test sacred-cow assumptions on a regular cadence.
I cling to legacy methods because they worked for me in the past.

6 Decision Hygiene

Understanding decision quality vs. outcome quality and building processes that improve judgment
I define the decision, criteria, and timebox before analysis starts.
I separate facts, assumptions, and opinions in the evidence file.
I let the meeting drift into solutioning without a clear decision owner.

7 Creative Recombination

Generating useful novelty by connecting concepts, methods, and insights from unrelated fields
I remix existing assets or ideas to create new options.
I scan outside domains for patterns we can adapt.
I wait for a brand-new idea rather than exploring combinations.

8 Human-AI Complementarity

Knowing what to delegate to machines, how to supervise AI outputs, and how to combine algorithmic capability with human insight
I choose between automate, co-create, or override based on risk and stakes.
I validate AI outputs with sources and domain checks.
I accept confident AI answers without verification.

9 Information Integrity

Rapidly assessing source credibility, detecting bias and manipulation, and maintaining truth-first communication
I verify lineage, definitions, and quality before use.
I document caveats and what the data cannot tell us.
I share metrics without checking for sampling or bias risk.

10 Ethical Leadership

Building genuine consensus across diverse stakeholders while maintaining clear ethical standards
I surface stakeholder impacts and long-term risks during decisions.
I call out misaligned incentives that could push expedient harm.
I assume compliance equals ethical soundness.

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