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Indicators: Problem-Solving/ Complex Thinking
Indicators: Problem-Solving/ Complex Thinking

How Bryq calculates Problem Solving/ Complex Thinking Traits

Markellos Diorinos avatar
Written by Markellos Diorinos
Updated over a week ago

How Bryq assesses Problem-Solving/Complex Thinking in candidates

In the modern labor market, problem-solving and complex thinking skills have become increasingly vital for both employees and businesses. The demand for professional skills and competencies is expanding across industries, highlighting the growing significance of higher-level skills in today's rapidly changing global workplace. With routine and manual tasks being automated, employees now devote more time to higher-order activities that necessitate interpretation, creativity, and adaptability.

Therefore, the ability to think critically and solve complex problems is of utmost importance as it enables employees to identify issues, devise effective solutions, and evaluate outcomes.

Recent studies emphasize the need for diverse cognitive competencies, to solve complex challenges. To confront today's obstacles effectively, employees must embrace innovative forms of learning and problem-solving. With the acceleration of workplace processes, employees face more time-sensitive and intricate problems. This highlights the importance of natural and spontaneous problem-solving, relying on quick reflexes in difficult situations rather than relying solely on cognitively demanding and conscious problem-solving activities.

Employees who excel in problem-solving and critical thinking are easily able to interpret the issue, remain flexible in finding a solution, and enjoy creative tasks.

According to research, those who are skilled problem solvers and critical thinkers are also persistently curious, honest in facing personal biases, prudent in making judgments, and willing to reconsider. Additionally, employees who are exceptional problem-solvers and think critically are clear about the issues they are considering, diligent in their search for pertinent information, and well-informed.

What does the Problem-Solving/Complex Thinking Indicator look like?

The Problem-Solving/Complex Thinking Indicator will be presented on your account as you see in the image below and you will be able to assess whether a candidate exhibits the Problem-Solving/Complex Thinking scores needed for success.


Indicative Roles: Chief Executive, Engineers, Operation Research Analyst, Mediator


💡 Remember that there is no need for the candidates to undertake any additional assessment in order for you to have access to the Problem-Solving/Complex Thinking Indicator.

Problem-Solving/Complex Thinking Interview Questions: A few interview questions that will be helpful for you during your interview.

  1. Describe how you would react if you realized that you and your team wouldn’t be able to meet a deadline for a project.

  2. Describe a time when you faced a difficult problem. What did you do to solve it?

  3. Describe how you would react if you had to make a decision without having all the information you needed.

  4. How quickly do you make decisions? Please describe your approach to a past decision you've made.

  5. Describe a time when you had to convince a colleague or manager to try out a different approach to solve a problem.

  6. Provide an example where you anticipated a problem. What measures have you taken to prevent it?

References

Brand-Gruwel, S., & Stadtler, M. (2011). Solving information-based problems: Evaluating sources and information [Editorial]. Learning and Instruction, 21(2), 175–179. https://doi.org/10.1016/j.learninstruc.2010.02.008

D’Zurilla, T. J., Maydeu-Olivares, A., & Gallardo-Pujol, D. (2011). Predicting social problem solving using personality traits. Personality and Individual Differences, 50(2), 142-147.

Harteis, C., Bauer, J. M., & Gruber, H. (2008). The culture of learning from mistakes: How employees handle mistakes in everyday work. International Journal of Educational Research, 47(4), 223–231. https://doi.org/10.1016/j.ijer.2008.07.003

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