Katkat

Describe a Strongly Held View That Proved Wrong

AnthropicSoftware Engineer · Onsite

Last updated

Tests intellectual humility, technical judgment, and the ability to pivot based on disconfirming evidence while taking full accountability for downstream impacts.

Question

Tell me about a time you held a strong technical conviction or product stance, advocated for it, and subsequently realized you were wrong.

Specifically:

  • What was the problem context, and why was your initial position well-reasoned given the information you had at the time?
  • What specific data, production signal, or alternative perspective challenged your hypothesis and convinced you to change your mind?
  • How did you acknowledge the mistake, mitigate any negative consequences, and communicate the shift to your team?
  • What concrete lessons or changes to your engineering process came out of that experience?

What a Strong Answer Demonstrates

  • Intellectual Humility & Scientific Rigor: You treat architectural or technical opinions as testable hypotheses rather than personal identity. You actively listen to counterarguments and prioritize system correctness over being "right."
  • Legitimate Initial Rationale: Your original choice was not arbitrary or careless; it was grounded in specific trade-offs (e.g., latency vs. complexity, build vs. buy, consistency vs. availability) that made sense until new constraints or measurements emerged.
  • Decisive Course Correction: Once presented with contrary evidence (e.g., benchmark degradation, unexpected production access patterns, operational overhead), you acted quickly without falling prey to the sunk-cost fallacy.
  • Accountability & Blast-Radius Management: You took full ownership of the fallout, proactively updated impacted stakeholders, remediated technical debt, and introduced guardrails (such as earlier load testing or phased rollouts) to catch similar blind spots in the future.

Hints

Hint 1

Select an authentic, meaningful technical choice—such as a database selection, concurrency model, or API design—rather than a superficial or trivial mistake.

Hint 2

Clearly explain the tipping point: identify the concrete telemetry, edge case, or benchmark that rendered your original assumptions invalid.

Hint 3

Emphasize how you communicated the pivot to stakeholders to preserve trust and prevent wasted effort across the team.

Follow-up questions

  • How did you address skepticism or frustration from teammates who had already invested time implementing your initial recommendation?
  • Looking back, what early indicator or lightweight prototype could have exposed the flaw in your assumption sooner?
  • How has this experience changed how you evaluate and advocate for strong opinions in design reviews today?