Metrics question
What is the most important metric for Slack and why?
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Tests prioritization of a single north-star metric for a B2B collaboration tool, requiring justification tied to the product's actual value loop, not just picking DAU by default.
How to approach it
- Clarify the product's value loop: Slack replaces email and meetings with fast, async team communication, so the metric should reflect real team communication habit, not just logins.
- Consider candidate metrics: DAU/MAU stickiness, messages sent per user, or weekly active teams, and weigh their trade-offs.
- Select weekly active users within paid teams as the primary metric, since Slack is sold and renewed at the team or workspace level, not the individual level.
- Justify the choice: an individual could be a daily power user while the rest of their team has abandoned Slack for email, masking real account health; team-level engagement catches that.
- Add a companion guardrail: messages sent per active user, ensuring active isn't inflated by passive channel-checking with no real communication happening.
- Tie the metric to business outcome: correlate team-level weekly active rate with renewal and expansion at contract time.
What a strong answer includes
- Picks a specific metric, weekly active users within paid teams, and explains why it beats simpler alternatives like raw DAU for a seat-based B2B product.
- Explicitly reasons about the unit of sale, the team or workspace, not the individual, showing understanding of Slack's actual business model.
- Names the failure mode the metric guards against, one active user masking a disengaged team, showing real analytical depth.
- Closes the loop by connecting the chosen metric to the ultimate business outcome, renewal and expansion revenue.
Common mistakes
- Picking a generic engagement metric like DAU without justifying why it fits Slack's specific team-based business model.
- Not connecting the chosen metric back to a business outcome like renewal or expansion.
Likely follow-up questions
- How would this metric differ for a free-tier team versus a paid enterprise team?
- What would you do if WAU was high but expansion revenue was flat?
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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