Metrics question
A paywall experiment increases checkout conversion, but shifts users toward a cheaper plan and lowers retention. How would you evaluate that result within Suno's broader pricing and packaging system, and decide whether to ship, iterate, or roll it back?
- Suno
- Metrics
- Hard
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What this question tests
Ability to evaluate a test result holistically within the broader pricing system rather than on the primary metric alone.
How to approach it
- Calculate the net revenue impact, not just conversion rate, factoring in the shift to a cheaper plan and the retention decline, to see if lifetime value actually went up or down.
- Check whether the plan mix shift is a genuine preference signal, users self selecting into a plan that fits them better, versus an artifact of how the paywall was designed to nudge toward the cheaper option.
- Segment the retention decline to see if it concentrates in the newly shifted cheaper plan cohort or is broader, which tells you whether the cheaper plan itself under delivers value.
- Model a few scenarios: full rollback, ship as is if net lifetime value is still positive despite the mix shift, or iterate by adjusting what is included in the cheaper plan to reduce the retention drag.
- Weigh the decision against Suno's broader pricing and packaging strategy, for example whether attracting more price sensitive users serves a stated growth goal or conflicts with a premium positioning strategy.
- Decide based on projected long term revenue and strategic fit, not the initial conversion win alone, and set a follow up metric to confirm the decision.
What a strong answer includes
- Reframes the decision around net lifetime value or long term revenue rather than the headline conversion win.
- Investigates whether the plan mix shift reflects real user preference or a nudge artifact of the paywall design.
- Connects the decision to Suno's broader pricing strategy and growth goals, not just this one experiment.
- Proposes a concrete iterate option, adjusting the cheap plan's inclusions, instead of only ship or rollback.
Common mistakes
- Shipping based on conversion rate alone without calculating the net revenue and retention tradeoff.
- Ignoring whether the paywall's design caused an artificial mix shift versus users genuinely preferring the cheaper tier.
Likely follow-up questions
- How would you calculate the breakeven point where the conversion gain justifies the retention loss?
- What would you do if leadership wanted to ship immediately based on the conversion number alone?
More metrics questions
- Suno’s mobile app has strong first-song generation, but only 18% of new creators make a second song within 7 days. How would you diagnose the drop-off, break down the funnel, choose the most important leading and lagging metrics, and prioritize the first product changes or experiments to improve retention?Suno · Metrics · Hard
- You're given Suno's consumer revenue funnel spanning acquisition landing page → paywall → checkout → activation → renewal/winback. How would you diagnose the highest-leverage opportunities across paywalls, purchase and upgrade flows, pricing, offers, and winback, and what framework would you use to prioritize the first three experiments?Suno · Metrics · Hard
- Suppose free-to-paid conversion rose 15% after recent pricing, paywall, and onboarding changes, but 30-day churn also rose. How would you determine whether Suno is acquiring lower-intent subscribers versus creating an activation or expectations problem, and what actions would you take based on that diagnosis?Suno · Metrics · Hard
- Design an A/B testing plan for Suno's click-to-purchase journey from paid acquisition landing page through subscription checkout. Which hypotheses would you test first, what primary and guardrail metrics would you use, and how would you avoid short-term revenue lifts that hurt user trust or downstream retention?Suno · Metrics · Hard
- Suno launches a beta for team workspaces. Creation and weekly usage are strong, but very few accounts expand after the first month. How would you diagnose the problem, which metrics would you inspect first, and what product or go-to-market experiments would you run next?Suno · Metrics · Hard
- How would you measure the performance and health of a Netflix Original?Microsoft · Metrics · Hard
More questions from Suno
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