Revolut's Hiring Playbook, Open-Sourced: The 3 Interviews, the 60% Rule & How to Pass Each Stage

Last updated: July 2026

TL;DR

Revolut, together with VC firm QuantumLight, has open-sourced the internal talent playbook it used to grow from 100 employees in 2017 to more than 12,000 in 2025, processing over 1 million applications last year alone. For candidates, this is rare: the scoring system behind one of Europe’s toughest interview processes is now public. Nearly every role faces three interviews (a multi-layer problem-solving case, a Bar Raiser on values and achievements, and a people-management assessment for leaders), run by certified interviewers against true/false scorecards. This guide breaks down what each stage tests, the red flags interviewers are trained to catch, and how to prepare. Drill the case and behavioral rounds with OphyAI Interview Coach, and keep answers structured in live rounds with Interview Copilot. Interviewing at Revolut specifically? Start with our full Revolut interview guide.

What Just Happened

In July 2026, Revolut announced it was “open-sourcing” its core talent blueprint in collaboration with QuantumLight, the VC fund founded by Revolut CEO Nik Storonsky. The published playbooks cover hiring and performance management, and they are the same systems QuantumLight rolls out across its portfolio companies.

Why should a job seeker care? Because playbooks like this spread. If you interview at a fast-growing startup in the next few years, especially a QuantumLight portfolio company or any scale-up copying Revolut’s model, there is a good chance you will face some version of this exact process. Knowing the rubric is half the preparation.

The Philosophy: Attitude Over Tenure

The playbook’s core hiring principle is blunt: attitude and problem-solving ability matter more than experience. Revolut says it repeatedly replaced experienced executives with more junior, ambitious problem solvers who were “on track to become successful executives long before they were hired.”

The concrete targets from Revolut’s announcement:

Role level	What they look for
Individual contributor	Roughly 2-3 years of experience with a fast upward trajectory
Leadership	Roughly 7-8 years of experience, not 20+ year veterans
All roles	Evidence of fast promotions, quantified achievements, and drive

What this means for you as a candidate:

• A short CV is not a weakness here. If you have 3 years of experience and a promotion, lead with trajectory: what you were trusted with, how fast, and what changed because of you.
• A long CV is not an advantage by itself. Interviewers are trained to look past tenure. Twenty years at a big company scores worse than five years of visible acceleration.
• “Hands dirty” evidence wins. The playbook explicitly criticizes leaders who delegate everything. Prepare stories where you personally dug into the data, the code, or the process.

The 3-Interview Framework (and How to Pass Each One)

Revolut recommends three specialized interviews for nearly every role, from engineers to lawyers to data analysts. Role-specific technical rounds still exist; these three come on top.

Interview 1: The Problem-Solving Assessment

QuantumLight calls this “the highest-signal interview in the process.” You get a realistic business case with 2-3 layers and multiple root causes, and you are expected to work through it as independently as possible.

The trap built into the format: you are not given any data until you ask for it. The interviewer is testing whether you request the right data, reason quantitatively with it, and prioritize among competing root causes.

Their own example: a case about a slow backend engineering process. Surface-level candidates optimize the process. Strong candidates dig deeper, discover the real bottleneck is that hiring is not bringing engineers in fast enough, ask for recruiting funnel data to confirm it, and propose a solution that weighs trade-offs.

What interviewers are trained to mark down:

• Jumping to solutions before clarifying the goal
• Staying at the surface without investigating underlying causes
• Never asking for data, or ignoring quantitative reasoning
• Failing to prioritize: treating every root cause as equally important

How to prepare: practice cases where you must (1) ask clarifying questions first, (2) explicitly request data, (3) segment the problem into layers, and (4) end with a prioritized recommendation and its trade-offs. OphyAI Interview Coach can run you through multi-layer case drills with instant feedback on structure and reasoning.

Interview 2: The Bar Raiser (Values and Achievements)

A deep-dive into your career trajectory, achievements, failures, and metrics. The playbook is explicit that interviewers should not settle for superficial answers: they probe 2-3 layers deeper on every claim and look for definitive proof that previous managers saw you as a top performer.

What passes: “I improved onboarding conversion by 30%. Here is how I found the drop-off point, how I got the product team to prioritize the fix, and how we scaled it to three markets.”

What fails: “I led a project to improve onboarding.” Generic claims without numbers, rehearsed answers, and blaming others for failures are all listed red flags.

Two preparation moves:

1. Quantify everything. Build 8-10 STAR stories where each has a metric, your specific contribution, and what you would do differently.
2. Prep your references. In this playbook, reference checks are run by the Bar Raiser interviewer, who asks referees to rate you 0-10, name your biggest achievement, describe how you take feedback, and say whether they would rehire you, again probing 2-3 layers deep. Brief your references on which projects you discussed in interviews so their account matches yours.

Interview 3: People Management and Hiring Assessment

If the role manages people or hires, expect a two-part round: a case study on a realistic team problem (an underperformer, a missed goal, a conflict) plus a deep dive into your actual hiring track record.

The bar here is systematic thinking, not war stories. Interviewers want to hear how you designed a hiring process, how you identify high performers, and how you protect the talent bar under pressure to fill seats. “I hired a team of 10” without a method is a listed red flag.

The Machinery Behind Your Interview

The playbook also reveals how the process is run behind the scenes, and this changes how you should prepare:

• A 9-stage pipeline. Role definition, sourcing, screening, interviews, engagement calls, offer, reference checks, probation, and process monitoring. Every stage has a document and an owner.
• Certified interviewers only. Interviewers must be high performers, complete training, shadow 2-3 interviews, and pass mock-interview certification before they can assess anyone.
• True/false scorecards. You are not graded on vibes. Each skill is scored against observable behaviors written as true/false statements, aligned one-to-one with the company’s talent framework.
• The 60% rule. If an interviewer’s pass rate consistently exceeds 60%, they get re-assessed. Interviewers are structurally incentivized to be skeptical.
• Speed matters to them too. The process is designed to move fast so competitive candidates do not drop out. If you have other offers, say so; the playbook treats offer dropout rate as a KPI.

The practical implication: consistency defeats improvisation. Because every candidate faces the same structured questions, prepared candidates outperform charming ones. This is a process you can genuinely train for. Practice out loud, under time pressure, against the exact competencies above. For live video rounds, Interview Copilot helps you keep case answers layered and behavioral answers in STAR structure on Zoom, Teams, and Meet.

What Happens After You Are Hired

The companion performance management playbook is worth reading before you accept an offer, because it tells you what working inside this system is like:

• Quarterly reviews on three dimensions: deliverables (scored as speed plus quality, multiplied by complexity), role skills, and culture, each on a 5-level scale from Poor to Exceptional.
• Promotions are triggered by data. For example, junior-to-mid promotion eligibility requires A-player ratings in at least 2 of your last 4 reviews and at least a year at your current level.
• Bonuses scale exponentially with ratings. In their worked example, a senior engineer with strong reviews lands a 1.75x individual multiplier and takes home 26.3% of salary as bonus, usually paid in equity with 50% vesting immediately.
• Underperformance moves fast. A below-bar rating leads to a choice: an enhanced exit package (6 weeks of pay plus notice) or a 6-week performance improvement plan with a committee decision at the end.

None of this is hidden anymore, which is genuinely useful: if you thrive under explicit metrics and fast feedback, this culture rewards it unusually well. If you do not, better to know before you sign.

Your Preparation Checklist

Step	What to do	Tool
1	Read the source: the hiring playbook and the company’s own interview guide	Our Revolut interview guide
2	Build 8-10 quantified STAR stories with metrics and trade-offs	Interview Coach
3	Drill 3-5 multi-layer business cases; practice asking for data before answering	Interview Coach case mode
4	Brief your references on your key projects and metrics	-
5	Rehearse live delivery for video rounds	Interview Copilot

FAQ

Is this the exact process Revolut uses today? It is the framework Revolut says it built internally and now shares through QuantumLight. Specific rounds vary by role and team; see our Revolut interview guide for the role-by-role breakdown candidates actually report.

Will other companies use this playbook? That is the stated goal. QuantumLight rolls these systems out across its portfolio, and the free version is aimed at “every entrepreneur building for scale.” Expect variations of the 3-interview framework at fast-growing startups well beyond Revolut.

I have 15+ years of experience. Should I avoid these companies? No, but reframe your pitch. Lead with recent, hands-on problem solving and trajectory rather than scope and tenure. The playbook screens against “legacy experience,” not against experienced people who still operate like builders.

How is this different from Amazon’s Bar Raiser? Same spirit (an interviewer whose job is to protect the bar), but Revolut’s version doubles as the values-and-achievements deep dive and later runs your reference checks, so consistency between your interview answers and your references matters more.

Ready to train against the actual rubric? Start practicing with OphyAI.