Better.com·Data Analyst·Hiring Manager Screen·Intermediate

Intermediate

May 2026

Summary

Interviewed at Better.com, got a behavioral question about a time analysis went sideways. Pretty standard stuff but it made me think harder than I expected.

Questions Asked (1)

Tell me about a time your analysis produced results that didn't match what you or the team expected. What did you take away from it?

Root Cause AnalysisProduct Analytics & MetricsAdaptability & Ambiguity

Author's notes

I had a real story for this but fumbled the landing.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Choose a specific example where your analysis yielded unexpected results, and walk through how you investigated the discrepancy, communicated it, and adapted. Focus on the learning outcome and how it improved your analytical rigor or decision-making. Keep the story concise and end with a clear takeaway that highlights your growth.

Pro tip: Emphasize that you didn't just accept the unexpected result but proactively dug into why it happened—this shows intellectual curiosity and a bias for action. Also, mention how you communicated the finding to stakeholders without causing alarm, focusing on the opportunity to learn.

1. Set the context

Briefly describe the project, your hypothesis, and what you expected to find. Keep it short so you can spend more time on the unexpected result and your reaction.

2. Describe the unexpected result

Clearly state what the analysis showed and why it was surprising. Quantify the gap between expectation and reality if possible.

3. Investigate the root cause

Explain the steps you took to understand why the result differed—e.g., data quality checks, segment analysis, or stakeholder discussions. Highlight your analytical process.

4. Communicate and adapt

Describe how you communicated the finding to your team or stakeholders and what actions were taken as a result. Show adaptability and collaboration.

5. Share the takeaway

Conclude with the key lesson you learned and how it changed your approach to analysis or decision-making going forward.

Key Points to Mention

Data quality issues or biases that led to the unexpected result
The importance of validating assumptions and hypotheses
How you communicated the unexpected finding to stakeholders
The action taken based on the new insight (e.g., revised strategy, further analysis)
The personal lesson learned and how it improved your analytical skills
Adaptability in the face of ambiguity or changing information

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.