HR-Survey > Competency Model > Critical Thinking

Critical Thinking Self-Assessment Comments

Definition: Critical thinking is the disciplined process of collecting, categorizing, and evaluating data and arguments to arrive at sound judgments and actionable insights. It involves ongoing reflection and self-awareness to refine analytical rigor, while remaining open to diverse perspectives, alternative explanations, and expert claims. Through targeted observation, structured analysis, and comparative evaluation, critical thinkers interpret data accurately, distinguish between fact and opinion, and build logical inferences that connect evidence to outcomes. Ultimately, critical thinking supports adaptive decision-making by recognizing when context shifts, integrating lessons learned, and adjusting approaches to ensure relevance and impact.

360-Feedback Assessments Measuring Critical Thinking:
Survey 1 (4-point scale; Competency Comments)
Survey 2 (4-point scale; Competency Comments)
Survey 3 (5-point scale; Competency Comments)
Survey 4 (5-point scale; radio buttons)
Survey 5 (4-point scale; words)
Survey 6 (4-point scale; words)
Survey 7 (5-point scale; competency comments; N/A)
Survey 8 (3-point scale; Agree/Disagree words; N/A)
Survey 9 (3-point scale; Strength/Development; N/A)
Survey 10 (Comment boxes only)
Survey 11 (Single rating per competency)
Survey 12 (Slide-bar scale)
Survey 13 (4-point scale; numbers; floating anchors)
Survey 14 (4-point scale; N/A)

The statements below can be used in your self-assessment (self-feedback) or performance appraisal as examples to demonstrate your "Critical Thinking" skills. Having good Critical Thinking skills means consistently fostering a workplace where decisions are grounded in evidence, diverse perspectives are welcomed, and assumptions are thoughtfully challenged. It cultivates an environment where employees engage in structured analysis, reflect on their own biases, and remain open to new ideas and alternative explanations. Teams systematically collect and interpret data, compare options using fair criteria, and adapt their reasoning as new information emerges. This kind of workplace thrives on clarity, curiosity, and continuous improvement--driving smarter solutions and more resilient strategies.

Critical Thinking

Critical Thinking emphasizes the structured, evidence-based process of analyzing data, evaluating arguments, and drawing logical conclusions. It involves categorizing and selecting relevant information, applying comparative analysis, and interpreting findings with precision to support sound judgment. This dimension focuses on external reasoning--challenging assumptions, scrutinizing expert claims, and connecting evidence to outcomes without overstating conclusions. While it includes reflection as a tool for refining decisions, its core strength lies in disciplined inquiry, structured analysis, and the ability to synthesize complex information into actionable insights.

I built logical arguments that connected evidence to outcomes without overstating conclusions.
I interpreted data with precision, distinguished between facts, opinions, and assumptions.
I applied structured analysis to distill complex information into clear, actionable insights.
I considered multiple perspectives and potential explanations before forming conclusions.
I challenged the taken-for-granted assumptions and generalizations.
I collected data through targeted inquiry, stakeholder engagement, and performance metrics to ensure relevance and completeness.
I categorized and selected data to arrive at a judgement.
I recognized hidden assumptions.
I was able to think critically through the analysis and evaluation of data and arguments.
I engaged in ongoing reflection to refine the decision-making process and improve future outcomes.

Reflection and Self-Awareness

Reflection and Self-Awareness centers on the internal process of examining one's own thinking, biases, and interpretive lens. It involves recognizing how personal experiences, assumptions, and limitations may shape understanding, and actively seeking feedback to refine judgment. This dimension prioritizes metacognition--being aware of how one thinks, what influences that thinking, and remaining open to the possibility that current knowledge may be incomplete. While it supports critical thinking by deepening analytical rigor, its unique contribution is fostering intellectual humility, emotional insight, and the capacity to challenge one's own conclusions before challenging others'.

I identified and challenged assumptions.
I understood what information was still needed to make optimal decisions.
I examined personal biases and assumptions before forming conclusions.
I was open to the possibility that what is known at a given point in timed may only be part of the whole picture.
I engaged in ongoing reflection to improve analytical rigor and judgment.
I understood my own limitations of knowledge and personal biases.
I sought feedback to challenge and refine personal interpretations.
I reflected on how past experiences may have influenced current interpretations.
I identified the positions, arguments, and conclusions of others.
I carefully considered and examined the issues of concern.
I identified what was important in each situation.

Open to Ideas

Open to Ideas emphasizes an individual's internal mindset and evaluative stance toward information, especially when encountering established claims, expert opinions, or familiar narratives. It reflects a posture of constructive skepticism--probing beneath the surface, questioning assumptions, and testing ideas against evidence rather than accepting them reflexively. This dimension is about cultivating intellectual curiosity and rigor, remaining receptive to alternative explanations, and applying scrutiny even to authoritative sources. It supports critical thinking by ensuring that ideas are examined on their merit, not their familiarity or origin.

I approached established ideas with a healthy dose of doubt.
I applied rigorous scrutiny to expert claims.
I considered the claims of experts carefully.
I was open to new information and considered alternative explanations.
I cultivated a mindset of constructive skepticism.
I was able to consider multiple perspectives and potential explanations.
I tested ideas against evidence rather than accepted them at face value.
I was inclined to probe beneath the surface of accepted truths.
I was inclined to be flexible and avoided rigid thinking.
I was receptive towards alternative pointed of view.

Data Collection

Data Collection within the critical thinking dimension emphasizes the disciplined, systematic gathering of information from diverse sources (such as performance metrics, interviews, and observations) to build a comprehensive foundation for analysis. It involves selecting the right type and level of data, determining when more information is needed, and ensuring that what's collected is both targeted and sufficiently detailed to illuminate key variables, patterns, and trade-offs. The focus is on the scope, completeness, and relevance of the data itself, with rigor applied to sourcing, documenting, and organizing information to support sound judgment and decision-making.

I applied disciplined inquiry to obtain data that was both targeted and thorough.
I compiled data that was both succinct and sufficiently detailed for informed decision-making.
I collected data from performance metrics, observations and interviews.
I documented and recorded data.
I exhibited sound judgement in selected data that illuminated key variables and trade-offs.
I gathered clear, comprehensive, and relevant information to support sound judgment.
I selected the correct type and leveled of information for consideration.
I was systematic in data collection.
I demonstrated rigor in sourcing data that captures essential patterns and nuances.
I correctly determined when more information was needed.

Observation

Observation is the interpretive and diagnostic process that occurs during or after data collection, where attention is directed toward identifying what matters most within the information gathered. It involves asking targeted questions to resolve ambiguity, recognizing patterns, anomalies, and predictive indicators, and engaging stakeholders to refine unclear metrics or definitions. Observation is more about strategic focus, contextual interpretation, and insight generation--filtering distractions, elevating the most telling features, and proactively identifying gaps or issues that may not be immediately visible. While data collection builds the raw material, observation sharpens its meaning.

I proactively identified gaps or ambiguities in data and sought clarification before drawing conclusions.
I identified recurring themes, trends, or anomalies across datasets to inform strategic decisions.
I used strategic focus to elevate the most telling indicators in a given context.
I noticed and recognized important issues.
I asked targeted questions to resolve uncertainty and ensured data was interpreted accurately.
I recognized which characteristics were most predictive, influential, or diagnostic.
I identified similarities and differences between observations and expectations.
I filtered out distractions to focus on the core attributes that matter most.
I engaged stakeholders to refine unclear metrics or definitions before proceeding.
I recognized and defined the problems or issues.
I identified and concentrated on the most relevant features of a problem or dataset.

Interpretation of Data

Interpretation of Data focuses on the meaning-making process--how raw information is examined, synthesized, and aligned with context to generate insight. It involves reading between the lines, distinguishing facts from opinions, and identifying what's pertinent or misleading. This dimension emphasizes caution, nuance, and stakeholder relevance, ensuring that conclusions are grounded in evidence and shaped by the needs, goals, or criteria at hand. Interpretation is about uncovering significance, validating insights, and recognizing hidden patterns or assumptions before moving toward action.

I validated interpretations with evidence rather than relying on assumptions.
I recognized when further context was needed before making inferences.
I identified the weaknesses in the arguments of others.
I synthesized disparate data points into coherent insights that guided action.
I aligned interpretations with stakeholder needs, decision criteria, or performance goals.
I sorted information into appropriated groups to recognize the connections between categories of information.
I was able to distinguish between facts and opinions.
I interpreted data with caution, ensuring conclusions were grounded in fact.
I determined what information was or wasn't pertinent.
I was able to 'read between the lines' and 'see under the surface'.

Comparative Analysis

Comparative Analysis is the evaluative process of weighing alternatives, outcomes, or data sets against each other using consistent, structured criteria. It emphasizes fairness, transparency, and disciplined reasoning--benchmarking results, assessing trade-offs, and prioritizing decisions based on fit, feasibility, and impact. While interpretation seeks to understand what the data means, comparative analysis asks how different options or results stack up relative to goals, standards, or expectations. It's the side-by-side scrutiny that supports strategic choice and ensures that decisions are both reasoned and equitable.

I demonstrated disciplined reasoning when comparing alternatives.
I systematically evaluated alternatives using predefined standards or benchmarks.
I applied structured judgment to compare trade-offs and prioritized decisions.
I assessed options against relevant criteria to determine the most viable path forward.
I applied consistent criteria across alternatives to ensure fairness and transparency.
I balanced qualitative and quantitative factors to assess fit and feasibility.
I used side-by-side comparisons to highlight trade-offs, risks, and potential impacts.
I benchmarked performance or outcomes against internal standards, industry norms, or historical data.
I analyzed similarities and differences between observed results and intended goals.

Diversity of Opinions

Diversity of Opinions focuses on the interpersonal and collaborative dimensions of critical thinking--how individuals engage with others to broaden understanding and challenge their own conclusions. It involves actively creating space for dissent, inviting counterarguments, and adjusting interpretations when credible new perspectives or shifting contexts emerge. This dimension reflects a commitment to dialogue, humility, and inclusive reasoning, where multiple viewpoints are not just tolerated but leveraged to deepen insight. While "Open to Ideas" is about internal openness, "Diversity of Opinions" is about external engagement and the ability to evolve thinking through shared inquiry.

I remained receptive to new evidence, even when it challenges prior beliefs.
I demonstrated a willingness to revise conclusions in light of credible counterarguments.
I adjusted interpretations when new information emerged or context shifted.
I invited diverse viewpoints to test assumptions and expand understanding.
I welcomed dissenting opinions as opportunities for deeper insight.
I considered multiple perspectives before forming conclusions.
I created space for dialogue that challenged assumptions and broadened perspectives.

Structured Analysis

Structured Analysis focuses on the methodical organization and interpretation of information to build clarity, coherence, and persuasive insight. It involves applying logical sequencing, categorizing data, and using tools like matrices or decision trees to distill complexity into actionable patterns. This dimension emphasizes the construction of a well-reasoned narrative--one that adapts to new data, aligns with stakeholder needs, and supports problem-solving through structured frameworks. Its strength lies in how information is shaped, ordered, and communicated to guide understanding and decision-making.

I used models, matrices, or decision trees to structure complex analyses.
I presented an analysis of the data to the supervisor, colleagues and stakeholders.
I organized data into coherent categories to facilitate comparison and insight.
I weighed and assessed arguments and evidence fairly.
I used evaluative frameworks to guide complex or high-stakes decisions.
I distilled complex information into actionable patterns that supported problem-solving.
I translated raw information into structured summaries that clarified implications.
I modified analysis strategies in response to new data, shifting priorities, or emerging risks.
I applied logical sequencing to interpret findings and built a persuasive narrative.

Evaluation

Evaluation centers on the critical judgment applied to ideas, options, and outcomes. It involves testing alternative explanations, assessing the merit of competing viewpoints, and determining the significance of findings against relevant standards or expectations. This dimension emphasizes discernment--recognizing gaps, weighing trade-offs, and avoiding premature conclusions by considering multiple possibilities. Evaluation applies the scrutiny that ensures insights are valid, balanced, and contextually sound.

I evaluated alternative points of view.
I developed a structured approach for evaluating options against relevant standards.
I avoided jumping to conclusions by examining alternative explanations.
I considered the possible outcomes of different courses of action.
I evaluated ideas on their merit rather than their source or familiarity.
I drew comparisons between different data sets to identify similarities and differences.
I looked at as much data as needed.
I recognized how data and information could be influenced or compromised.
I evaluated beliefs and actions to think about them critically.
I proposed multiple options for consideration.
I evaluated data against expectations to surface gaps, inconsistencies, or opportunities.
I determined the meaning and significance of findings.

Inference

Inference is the analytical process of drawing reasoned, evidence-based conclusions from data; involving constructing logical arguments that connect observations to outcomes, validating interpretations with specific facts, and ensuring that findings are traceable, defensible, and contextually grounded. Inference is about understanding what the data implies--framing insights within the original question or hypothesis, recognizing patterns, and avoiding overstatement. It reflects the intellectual rigor required to move from raw information to meaningful conclusions without prematurely leaping to judgment.

I connected conclusions directly to the data, ensuring findings were traceable and defensible.
I framed findings within the context of the original question or hypothesis.
I developed a sufficient understanding of the facts of the situation to be able to make correct inferences.
I avoided overstating the conclusions.
I drew conclusions that reflected both analytical rigor and contextual understanding.
I validated conclusions by referencing specific data points, sources, or analytical methods.
I built logical arguments that connected evidence to outcomes.
I supported interpretations with relevant facts, trends, or statistical evidence.
I drew appropriate connections, inferences, and conclusions from the data.
I constructed arguments rooted in the data and observations.

Decision-Making

Decision-Making is the action-oriented process that follows inference--where conclusions are translated into choices, strategies, and implementation; involving evaluating options, defining decision rules, and adapting approaches based on shifting context, feedback, or incomplete assumptions. Decision-making emphasizes clarity, accountability, and execution: articulating rationale, considering consequences, and pivoting when needed. While inference builds the foundation for understanding, decision-making applies that understanding to confront problems, choose a course of action, and deliver results.

I adjusted course when initial assumptions proved inaccurate or incomplete.
I considered the consequences of decisions.
I articulated the rationale behind decisions with transparency and precision.
I defined clear parameters to guide consistent and objective decision-making.
I incorporated feedback and lessons learned to refine future decisions.
I created decision rules or filters that align with strategic priorities and values.
I confronted problems, decided on a course of action, and implemented the correct solutions.
I demonstrated clarity in how decisions emerged from facts, patterns, and reasoning.
I recognized when a change in context warranted a reevaluation of the chosen approach.
I adapted or revised decision-making approaches as the situation required.
I made informed decisions supported by evidence.
I built a compelling narrative that showed how data informed decision-making.
I evaluated the impact of decisions in real time and pivoted when necessary.

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