In this market, average interviews don’t get offers.
There is an uncomfortable truth underpinning this. Many senior, highly capable candidates are interviewing poorly. They know their craft, have delivered outcomes for years, and carry genuine confidence in their ability. Yet when sitting in front of a hiring manager, they often struggle to clearly articulate the environment they operated in, what was actually delivered, and most importantly, their individual contribution and what they learned from the experience.
For years, candidates have leaned on the dependable STAR framework — Situation, Task, Action, Result. It is structured, familiar, and effective. In many cases, it remains the foundation of how interviews are conducted and provides a reliable way to address behavioural questions.
The market, however, has shifted.
There is now a clear change in what hiring managers expect. Outlining what was done is no longer enough. There is a stronger focus on how candidates think, how their approach has evolved, and what they would do differently today.
This is where CARL comes in — Context, Action, Result, Learning.
CARL builds on the strengths of STAR while introducing the element that truly differentiates candidates: learning. It elevates responses from structured answers into high-impact storytelling, offering hiring managers deeper insight into how a candidate operates, not just what they have done.
The strongest candidates are not simply those who can deliver outcomes. They are those who can demonstrate reflection, growth, and the ability to apply those learnings in future environments.
In a market where competition is high and hiring decisions are more considered, this distinction matters. Two candidates may deliver the same result, yet the one who can clearly articulate, “Here’s what I learned, and here’s how it changed the way I operate,” is the one who stands out.
If you are still answering in STAR, you are covering the basics. If you are answering in CARL, you are showing how you think.
Right now, that is what gets offers.
