revolut·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior

Apr 2026

Summary

PM interview at Revolut, one question focused on improving their referral program within a 3-month window. Pretty open-ended and product-strategy heavy.

Questions Asked (1)

You're a PM at Revolut. How would you improve the referral program over the next 3 months?

Product StrategyProduct Sense & IdeationRoadmap Prioritization

Author's notes

The 3-month constraint is what tripped me up.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal of the referral program (e.g., acquisition, activation, retention) and the current metrics. Then propose a structured 3-month plan that includes diagnosing issues, prioritizing improvements based on impact/effort, and defining success metrics. Focus on quick wins and iterative testing.

Pro tip: Show that you understand Revolut's unique context: high-growth fintech, regulatory constraints, and multi-product ecosystem. Suggest leveraging existing user data and cross-selling opportunities to make referrals more valuable.

1. Clarify Objectives & Metrics

Ask clarifying questions to understand the current referral program's goals, performance metrics (e.g., CAC, conversion rate, viral coefficient), and constraints. Align on what success looks like in 3 months.

2. Diagnose Current State

Identify pain points and opportunities by analyzing the funnel: awareness, invitation, acceptance, activation, and retention. Consider user segments and competitive benchmarks.

3. Ideate & Prioritize Improvements

Generate ideas across incentives, user experience, targeting, and channels. Prioritize using a framework like RICE or impact/effort, focusing on high-impact, low-effort changes for the 3-month horizon.

4. Define 3-Month Roadmap

Outline a phased plan: Month 1 for quick wins and A/B tests, Month 2 for scaling successful experiments, Month 3 for optimizing and measuring. Include resource needs and dependencies.

5. Measure & Iterate

Define success metrics (e.g., referral rate, CAC reduction, LTV of referred users) and a process for monitoring, learning, and iterating post-launch.

Key Points to Mention

Incentive structure: consider two-sided rewards, tiered bonuses, or non-monetary perks (e.g., fee-free transfers, crypto rewards).
User experience: simplify the referral flow, pre-fill messages, and enable sharing via multiple channels (social, messaging, email).
Targeting: identify high-propensity users (e.g., active, high NPS) and personalize referral prompts.
Leverage Revolut's ecosystem: cross-sell referrals for specific products (e.g., cards, crypto, savings) and use in-app notifications.
Fraud prevention: ensure robust anti-abuse measures to protect against fake referrals.
Data-driven experimentation: run A/B tests on incentives, messaging, and placement to optimize conversion.

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