Metrics question
Your product just caused a worldwide outage. How would you go about handling this situation?
- Salesforce
- Metrics
- Hard
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What this question tests
Incident response judgment for a severe outage, balancing speed of resolution with clear communication.
How to approach it
- Immediately mobilize an incident response team spanning engineering, on-call, and communications.
- Establish the scope: which services, regions, and user segments are affected and for how long.
- Communicate proactively via a status page and in-app or social notifications rather than waiting for user complaints to escalate.
- Work engineering through triage, mitigation, and root cause in parallel, prioritizing service restoration over full root cause first.
- After restoration, conduct a blameless post-incident review and document a clear action plan to prevent recurrence.
- Communicate a final transparent summary to users and, if relevant, offer remediation like credits for affected customers.
What a strong answer includes
- Prioritizes restoring service and communicating status immediately over silently investigating before saying anything.
- Separates fast mitigation from full root cause analysis, correctly sequencing what matters during versus after the incident.
- Proposes a blameless post-incident review, showing understanding of healthy engineering culture, not finger pointing.
- Includes concrete remediation, like service credits, for severely affected customers as part of rebuilding trust.
Common mistakes
- Delaying communication until the root cause is fully understood, leaving users in the dark too long.
- Focusing only on the technical fix and skipping the trust rebuilding communication plan.
Likely follow-up questions
- How would you decide what to communicate publicly during an ongoing outage?
- How would you prevent a similar outage from happening again?
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More questions from Salesforce
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop