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Interview Techniques to Assess ‘Learning Agility’

01/13/2026

By Team Hirschel

Hiring for learning agility means going beyond resume credentials and listening closely to how candidates think, respond, and adapt. Traditional interviews often reward polished stories and rehearsed answers. The techniques below help leaders uncover whether someone can learn quickly, adjust when things change, and transfer knowledge to new situations. In a fast-changing workplace, those skills matter alongside experience.

What is learning agility?

Before applying interview techniques, it helps to define the concept. Research defines learning agility as the willingness and ability to learn from experience and to apply that learning to perform successfully in new, unfamiliar, or complex situations. It reflects adaptability, resilience, and ongoing growth potential.


Use behavior-based interview questions

Behavior-based interviewing is one of the most widely validated selection techniques used by HR professionals because it focuses on past behaviors rather than hypothetical claims. Structured approaches like competency interviews help reliably assess how candidates really responded in real work situations.

Technique:
Ask candidates to describe a specific situation, what they did, and what the outcome was.

Listen for:
Whether they describe how they learned, adapted, and grew rather than just listing tasks.


Probe unfamiliar situations and adaptation

People with learning agility handle novel challenges by exploring, seeking input, and iterating rather than freezing or defaulting to familiar patterns.

Technique:
“Tell me about a time you were assigned something outside your comfort zone. What did you do first?”

Listen for:
Comfort with ambiguity and willingness to learn before acting.

This focus aligns with research indicating that learning agility is tied to success in unfamiliar conditions.


Explore learning from mistakes

Learning agile candidates are introspective about missteps and willing to change behavior based on what they learned.

Technique:
“Describe a mistake that changed how you work today.”

Listen for:
Ownership, reflection, and behavior change.

This type of question builds on competency-based interview best practices that emphasize real examples over abstract claims.


Ask about feedback and self-directed learning

People with learning agility do not wait for formal performance reviews to grow. They proactively seek feedback and pursue new knowledge.

Technique:
“How do you seek feedback and how have you applied it?”
“What have you learned recently on your own initiative?”

Listen for:
Specific steps taken and how that learning was used.

These are consistent with SHRM guidance that structured interviews with follow-up questions help reveal underlying competencies.


Evaluate knowledge transfer

Learning agility is not just learning new things. It is applying learning across contexts.

Technique:
“Tell me about a time you used something learned in one situation to solve a problem in a different one.”

Listen for:
Cross-context application of insight, not merely repetition.


Use structured questions to reduce bias

Structured interviews and frameworks improve hiring reliability by reducing interviewer subjectivity and ensuring comparability across candidates. Professional HR standards recommend structured approaches for this reason.

Why this matters

Organizations today demand people who can adjust to constantly shifting needs, new tools, and changing priorities. Research highlights that learning agility is linked to potential for future advancement, even more so than experience alone.

Hiring for learning agility does not ignore experience. It means evaluating adaptability, growth mindset, and how candidates behave when faced with the unknown.


Sources

  • Learning agility defined as willingness and ability to learn and apply learning in new contexts. PMC
  • Behavioral and structured interviewing improves reliability in selection. SHRM
  • Learning agility linked to job performance and potential for advancement. University Digital Conservancy

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