HR-Survey > Employee Opinion > Dimensions

Survey Questions: Analytical

Definition: Analytical skill involves critical thinking and reductive analysis, enabling individuals to examine problems deeply, separate processes into components, and approach solutions with open-mindedness and creativity. It emphasizes data collection, validation, and analysis, alongside quantitative abilities and forecasting, to support evidence-based decision-making and systematic problem-solving. Additionally, analytical skill is characterized by attention to detail, systems thinking, and research-oriented approaches, ensuring accurate and insightful outcomes that align with organizational needs and goals.

Critical Thinking

Critical Thinking focuses on analyzing information objectively, evaluating multiple perspectives, and using logic to understand problems deeply before taking action. This dimension highlights examining evidence, identifying gaps in data, applying structured reasoning, and ensuring decisions are free from bias. It prioritizes analysis and intellectual rigor, ensuring that conclusions and actions are grounded in thorough evaluation.

In our department, employees evaluate evidence objectively, regardless of whether it supports or contradicts current ideas.
Employees in my department apply critical and analytical thinking to all situations.
My supervisor is able to understand complex issues and problems.
Coworkers examine problems in depth and from multiple points of view.
People on my team use a more analytical and careful approach to solving issues.
In my department, we use analytical thinking to make desirable outcomes more probable.
Coworkers understand how to develop critical and analytical thinking.
My manager is good at clearly identifying the issue to be resolved.
The supervisor uses data and logic to avoid basing decisions on personal biases that others may have.
I know how to evaluate the integrity and comparability of data and identify existing gaps.
The manager uses cognitive skills and strategies that increase the probability of a desirable outcome.

Reductive Analysis

Reductive Analysis focuses on breaking down complex problems, processes, or data into fundamental components to understand key elements more clearly. This dimension highlights decomposing large issues into manageable parts, dissecting problems to uncover core elements, and distilling complex situations for better analysis. It prioritizes structured breakdown and simplification, ensuring that analytical tasks are divided into digestible segments for easier comprehension and resolution.

The supervisor can decompose problems into smaller, manageable parts.
I know how to dissect a problem into its core elements.
In my department we analyze issues and reduce them to their component parts.
My manager decomposes complex information into smaller, manageable parts for me to understand the details better.
I am easily able to separate a process/procedure into its component parts.
Our department divides complex problems or tasks into components/parts for further analysis.
The team leader distills issues down to their core items.
I can reduce issues to their fundamental elements.

Open Minded

Open Minded focuses on being receptive to different perspectives, exploring alternative viewpoints, and adapting approaches when new information emerges. This dimension highlights investigating novel methods, considering opposing evidence, revising views based on credible insights, and maintaining intellectual flexibility. It prioritizes adaptability and exploration, ensuring individuals and teams remain receptive to fresh ideas and innovative solutions.

Our department is ready and capable of exploring alternative viewpoints and strategies.
My manager is open minded and receptive to considering opposing evidence.
My manager is open and willing to explore innovative perspectives and techniques when the conventional methods prove ineffective.
The department head is willing to revise their views when presented with new, credible information.
My coworkers are open to investigating novel approaches and methods.
Coworkers are willing to listen to different perspectives.
The project leader is willing to seek out and consider alternative viewpoints.
I am flexible in adopting new perspectives and approaches when traditional methods fall short.

Problem-Solving

Problem-Solving emphasizes applying structured methods to define, prioritize, and implement solutions for challenges as they arise. This dimension centers on determining key parameters, identifying root causes, selecting the best course of action, and systematically addressing obstacles. It prioritizes solution-oriented execution, ensuring that issues are tackled efficiently using appropriate techniques.

The project manager identifies problems and issues needing resolution.
Our team determines the important parameters or issues to take into account when solving problems.
My manager effectively prioritizes various actions to be taken when solving a problem.
Senior management emphasizes the need to identify the root causes of a problem.
People on our team select the solution that offers the best outcome based on the analysis.
Our department uses appropriate techniques to solve problems.
Our team uses a methodical approach to the understanding and resolving of problems.

Data Collection

Data Collection emphasizes gathering, measuring, and ensuring the accuracy of relevant information to support decision-making and problem-solving efforts. This dimension centers on recognizing missing data, implementing diverse collection methods, evaluating contextual relevance, and ensuring information remains current and precise. It prioritizes information acquisition and validation, ensuring that analytical decisions are based on robust, well-sourced data.

I feel my team understands the importance of maintaining current, accurate information.
The project manager uses standard data collection practices.
Our department emphasizes the need to consider the context in which information was produced.
Project managers gather information from a variety of sources.
Colleagues are able to recognize areas of missing data and suggest other ways to obtain the needed information.
Our department uses a variety of data collection methods.
Support staff ensure that our information is current and up-to-date.
I am precise in the measurement of variables, leading to more accurate data collection.
My coworkers are able to implement a variety of data gathering techniques.
Our team uses data from a variety of sources.
I am encouraged to collect relevant data and facts about a situation.

Data Validation

Data Validation emphasizes ensuring the accuracy, credibility, and relevance of data before it is used for decision-making. This dimension highlights checking information sources, verifying consistency across multiple sources, confirming data reliability, and ensuring assumptions are properly evaluated. It prioritizes quality control and accuracy, ensuring that all analyses are based on trustworthy and well-vetted information.

My manager validates the accuracy of data collected.
I am able to critically examine the information presented to determine its truthfulness and applicability to the topic at hand.
My manager can determine if sources of information are reputable, reliable, and credible.
I usually check facts by cross-referencing the evidence with other reliable sources.
I know how to assess the validity and correctness of the data before using it to draw conclusions.
The project leader evaluates assumptions before taking actions.
Our team ensures that the foundation of an analysis is based on reliable and relevant data.
Coworkers check the credibility of information sources.
I know how to verify that information is accurate and updated.
Senior leadership is effective in evaluating the validity and reliability of data and research findings.
The department head determines if facts are consistent across multiple sources.
My supervisor effectively determines the relevance and accuracy of information.

Data Analysis

Data Analysis focuses on interpreting, processing, and drawing conclusions from data to uncover patterns, trends, and insights. This dimension centers on applying statistical methods, determining relevance, selecting appropriate techniques, and logically examining data for meaningful insights. It prioritizes interpretation and decision support, ensuring data is leveraged effectively to inform business strategies and operational improvements.

Colleagues are able to analyze data to meet constituent needs.
My department analyzes data using statistical methods.
My coworkers use statistical methods to analyze data to help uncover patterns, correlations, and trends that might not be immediately apparent.
Our team analyzes data to meet the needs of clients.
My supervisor uses logic and reasoning to identify which pieces of information are useful and which are not.
My manager can correctly evaluate whether the information is specific enough to be meaningful.
My manager evaluates evidence for accuracy and relevance.
I know how to selects the appropriate techniques for analysis.
I am comfortable effectively interpreting and analyzing data.
I can determine the relevance and accuracy of information.
I am comfortable using alternate tools for analysis to check the reliability of previous analyses.
Our department implements data validation techniques and methods.
I can analyze data and information from several sources and arrive at logical conclusions.

Quantitative Ability

Quantitative Ability focuses on using numerical data, statistical models, and financial metrics to analyze situations and guide business strategies. This dimension highlights interpreting financial reports, applying algorithms, measuring costs and risks, and using mathematical reasoning to assess business performance. It prioritizes numerical analysis and financial assessment, ensuring that data-driven insights lead to informed strategic planning.

I am able to measure and assess the potential loss in value of a portfolio under normal market conditions.
I am able to interpret financial data, reports, balance sheets, and cash flow analysis.
I can create detailed budgets that guide financial planning and decision-making.
The team uses financial metrics of similar companies to estimate the value our company.
Employees in our department use algorithms and quantitative models to determine the costs/benefits of different programs based on mathematical and statistical analysis.
My coworkers are comfortable working with numbers and data.
I know how to calculate and interpret financial ratios (such as liquidity ratios, profitability ratios, and leverage ratios) to assess the financial health of the company.
My manager develops quantitative measures of performance.
I measure costs associated with various programs and policies.

Decision Making

Decision Making emphasizes weighing available information, considering risks and trade-offs, and choosing the most effective course of action based on evidence and logic. This dimension centers on optimizing resources, evaluating the relevance of data, balancing costs and rewards, and ensuring decisions align with long-term objectives. It prioritizes critical thinking and judgment, ensuring that choices are made strategically based on solid, verifiable information.

My manager makes reasonable decisions about the importance of different sources of information.
Our decisions are based on current data.
My supervisor organizes information for decision making.
I am able to balance risks and costs with the rewards and probabilities of success when making decisions.
We use current data for decision making.
Coworkers make decisions based on solid, credible evidence rather than personal biases or preconceived notions.
Managers here optimize limited resources, such as time and money, by finding the most efficient solutions to problems.

Forecasting/Modeling

Forecasting/Modeling focuses on analyzing historical data to identify trends, develop predictive models, and project future outcomes. This dimension highlights detecting patterns, applying mathematical and financial modeling, optimizing business decisions based on quantitative insights, and anticipating future challenges. It prioritizes data-driven projections and pattern recognition, ensuring organizations make informed strategic decisions based on measurable trends.

Coworkers are able to determine averages and trends in the data.
My supervisor can recognize patterns, draw logical conclusions, and make effective recommendations for action.
I am comfortable identifying trends and patterns in data can lead to valuable insights and strategic decisions.
My manager can analyze market trends, forecast sales, and optimize supply chain operations.
Managers look for patterns, trends, and relationships within the data.
I know how to build complex financial models to project future revenues, expenses, and cash flows based on historical data and assumptions.
I can build mathematical models to represent real-world problems to help in understanding complex systems and predicting outcomes.
Our team leader connects experiences, analyzes the facts and spots issues across a wide array of legal and business issues to see patterns and draw conclusions not readily apparent to others.
I am able to project future data points based on historical data.
The team leader analyzes financial statements over multiple periods to identify patterns and trends in revenue, expenses, and profits.
My manager looks for trends in the data.

Attention to Detail

Attention to Detail emphasizes carefully examining specifics, identifying discrepancies, and ensuring precision in analysis and execution. This dimension centers on auditing financial records, ensuring accuracy in data collection, detecting defects, reviewing contractual clauses, and meticulously tracking observations. It prioritizes precision and thoroughness, ensuring that minor inconsistencies or errors do not compromise outcomes.

The internal auditor is able to identify deviations from stated goals and objectives.
The team leader identifies patterns in conflicting information, events, or data.
The senior managers review contractual documents for clauses and specifications to ensure binding agreements are free from disputes.
My staff ensures financial transactions are recorded accurately and completely.
I meticulously record and maintain logs of observations/measurements.
Coworkers regularly examine for tiny defects in products which could lead to product failures and/or returns.
Shift leaders perform checks on data accuracy and quality.
Nurses examine patient orders to determine the proper dosage of medicines.
Colleagues are able to examine material specifications to ensure structural integrity of the building/craft/machine.
I know how to audit financial records to detect fraud or errors.
The supervisor reviews tasks, deadlines, and resources needed to ensure smooth completion of the project.
My manager identifies discrepancies and inconsistencies in reports.
The project manager maintains high attention to detail to ensure tests/experiments are replicable and results are reliable.

Systems Thinking

Systems Thinking emphasizes recognizing the interconnectedness of various components within a system, understanding how changes impact multiple areas, and making holistic decisions. This dimension centers on analyzing value chains, identifying ripple effects in business operations, integrating market trends with feedback mechanisms, and diagnosing deeper systemic causes of organizational issues. It prioritizes big-picture analysis and interdependencies, ensuring decision-makers consider how different factors work together rather than viewing them in isolation.

The project supervisor looks beyond immediate cause-and-effect to understand deeper, systemic causes.
My supervisor identifies the part of the business value chain that is affected by a particular decision or action, diagnoses the situation, and prioritize what needs to be done and who needs to be involved.
My manager establishes connections between different pieces of information to see the bigger picture.
I understand the relationships between component parts.
The department head uses analytical techniques to assure that adequate resources are available to meet the needs of the department.
Marketing managers integrate customer feedback loops, market trends, social media influence, and brand perception to create a cohesive strategy.
My manager recognizes that all parts of a business are connected where a change in one area can impact others in unexpected ways.
I understand how supplier relationships affect inventory levels, production schedules, and customer satisfaction.
Senior leadership identifies opportunities for progress and innovation.
The team leader examines how the new software will affect workflows, employee morale, customer interactions, and long-term scalability.

Data Presentation

Data Presentation focuses on organizing, visualizing, and formatting data in a way that makes it easy to interpret and compare. This dimension highlights creating charts and graphs, structuring presentations for clarity, facilitating comparisons, and ensuring information is communicated effectively to different audiences. It prioritizes clarity and accessibility, ensuring that data-driven insights are easily understood and persuasive.

I can create graphs, charts, and other visual representations of data making it easier to interpret and communicate findings.
My manager presents data in a format that makes comparisons easier.
I am able to prepare appropriate visualizations of data in charts, graphs, and reports.
I know how to organize data in a way that simplifies its interpretation and comparisons.
I know how to design presentations that are easy to digest.
My staff present quantitative data in a clear and concise manner aiding in making persuasive and evidence-based arguments.
Supervisors create presentations that are straight forward to understand.
My manager is able to recall relevant information when needed.
Coworkers are effective in formatting data to facilitate easy comparisons.
Coworkers actively seek constructive feedback from others.

Curiosity and Creativity

Curiosity and Creativity focuses on exploring new perspectives, generating fresh ideas, and finding innovative ways to interpret and visualize data. This dimension highlights asking insightful questions, developing creative solutions, seeking new knowledge, and considering problems from different viewpoints. It prioritizes innovation and open-minded exploration, ensuring individuals think outside the box and challenge conventional approaches.

Coworkers create new and effective visualizations of the data.
I can increase understanding through the cautious application of logic and research.
When asked, I can create new ways of interpreting the data.
My manager seeks new knowledge and skills to enhance analytical thinking.
I look at problems from different perspectives and viewpoints.
Team members are able to ask the "right" questions to size up or evaluate situations.
Team members seek to understand where potential problems may occur.

Research Oriented

Research Oriented emphasizes applying scientific and empirical methods to test hypotheses, analyze experimental data, and derive accurate conclusions. This dimension centers on understanding research methodologies, verifying theories through evidence, interpreting experimental results, and applying rigorous analysis techniques. It prioritizes investigation and knowledge-building, ensuring that conclusions are based on systematic and methodical inquiry.

My manager has a solid grasp of basic research methodologies.
I understand the basic principles of research.
I know how to test hypotheses and validate theories through empirical evidence.
I can apply scientific and empirical methods to test hypotheses.
My supervisor is well-versed in fundamental research concepts.
My coworkers are effective in testing hypotheses, analyzing experimental data, and drawing the correct conclusions.