← Anthropic Interview Insights

Anthropic·Software Engineer·Technical Phone Screen·Senior

Senior
Jun 2026

Summary

Interviewed for a SWE role at Anthropic, got asked something that felt more PM-adjacent than I expected for an engineering screen.

Questions Asked (1)

Q1

How would you define the right goals, KPIs, or success criteria for a project?

Product Analytics & MetricsCross-functional AlignmentStakeholder Management
Author's notes

Wasn't expecting this from an engineering interview.

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AI HintsAI Generated

Suggested Approach

Start by tying goals to the project's purpose and user impact, then describe a collaborative process to define measurable KPIs with stakeholders. Emphasize iteration and validation to ensure metrics drive the right behavior and align with business and technical outcomes.

Pro tip: Focus on leading indicators (e.g., adoption, engagement) rather than just lagging outcomes, and always connect metrics to a clear 'why' to avoid vanity metrics. At Anthropic, showing awareness of safety and ethical implications in metric design can set you apart.

1. Clarify the Problem and Vision

Understand the project's core problem, user needs, and business objectives by talking to stakeholders. Define what success looks like in qualitative terms first.

2. Identify Key Outcomes and Behaviors

Determine the critical outcomes that indicate success and the user or system behaviors that drive them. Map these to potential metrics.

3. Select Metrics and Set Targets

Choose a balanced set of KPIs (e.g., usage, performance, quality) and set realistic, time-bound targets. Ensure they are SMART and aligned with team capacity.

4. Validate and Align with Stakeholders

Socialize the proposed metrics with cross-functional partners to ensure they are meaningful, measurable, and agreed upon. Adjust based on feedback.

5. Iterate and Monitor

Continuously track metrics, review them regularly, and be willing to refine or replace them as the project evolves and new information emerges.

Key Points to Mention

  • Alignment with business and user goals
  • SMART criteria (Specific, Measurable, Achievable, Relevant, Time-bound)
  • Leading vs. lagging indicators
  • Cross-functional collaboration (product, design, data, etc.)
  • Iterative refinement and avoiding vanity metrics
  • Ethical considerations and safety in metric design (especially at Anthropic)

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