Type · system-design
Design a recommendation engine for Lookfantastic that suggests products to users based on their browsing history, purchase history, and currently viewed items. Consider scalability and personalization.
Enterprise · Software Engineer Interview Guide
Headquartered in United KingdomInterview language: English
How to Pass the Lookfantastic Software Engineer Interview in 2026
The Lookfantastic DNA (TL;DR)
Lookfantastic's 'Worth Over' value proposition drives their hiring, seeking candidates who demonstrate a clear understanding of delivering tangible customer benefits and optimizing e-commerce experiences. They assess for a track record of enhancing user journeys, particularly around subscription models like the Month Subscription Gift Voucher.
The Lookfantastic Interview Loop
Your onsite loop will typically consist of 5 rounds.
- 1
Round 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Round 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Round 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Round 4
Onsite CodingLeetCode-hard, debugging, code clarity, edge cases. - 5
Round 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
The Danger Zone: Top Reasons Candidates Fail
Based on our database of Lookfantastic interview outcomes, avoid these common traps:
- Failing to connect their engineering skills to the retail or beauty industry context.
- Not reflecting on the outcome or lessons learned.
- Not efficiently updating counts for categories as new purchases arrive.
- Not implementing proper rate limiting or queuing mechanisms.
Test Yourself: Real Lookfantastic Questions
Three real prompts pulled from our database.
Type · algorithm
Given a list of product IDs and their corresponding stock levels, and a list of customer orders with product IDs and quantities, write a function to determine which orders can be fulfilled. Assume stock is updated in real-time.
Type · motivation
What interests you about working at Lookfantastic specifically, and how do you see your skills as a software engineer contributing to our mission in the beauty and wellness retail space?
+ many more questions, signals, and worked examples
Sign up to unlock the full Lookfantastic grading rubric
Lookfantastic Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 13 questions shown
1
Recruiter Screen
1- 1
Type · motivation
What interests you about working at Lookfantastic specifically, and how do you see your skills as a software engineer contributing to our mission in the beauty and wellness retail space?
2
Coding Screen
3- 2
Type · algorithm
Given a list of product IDs and their corresponding stock levels, and a list of customer orders with product IDs and quantities, write a function to determine which orders can be fulfilled. Assume stock is updated in real-time. - 3
Type · algorithm
Implement a function that takes a list of product reviews (each with a rating and timestamp) and returns the average rating for products within a given time window (e.g., last 30 days). - + 1 more questions in this round (sign up to unlock)
3
System Design
3- 4
Type · system-design
Design a recommendation engine for Lookfantastic that suggests products to users based on their browsing history, purchase history, and currently viewed items. Consider scalability and personalization. - 5
Type · system-design
Design a system to handle flash sales for popular products on Lookfantastic. How would you ensure the website remains available and performs well under a sudden surge of traffic, and how would you manage inventory accurately during the sale? - + 1 more questions in this round (sign up to unlock)
4
Onsite Coding
3- 6
Type · coding
Implement a function to calculate the optimal discount percentage for a given product based on its sales history, current stock levels, and competitor pricing. The function should return a discount that maximizes profit while clearing excess stock within a target timeframe. - 7
Type · debugging
A customer is reporting that their order history is showing incorrect items, or missing recent orders. Debug this issue, assuming you have access to the order database, user service, and order processing logs. - + 1 more questions in this round (sign up to unlock)
5
Behavioral / Leadership
3- 8
Type · past_experience
Tell me about a time you had to make a significant technical decision with incomplete information or under tight deadlines. How did you approach it, what was the outcome, and what did you learn? - 9
Type · past_experience
Describe a complex technical challenge you faced on a project. How did you break it down, collaborate with others (if applicable), and what was your specific contribution to overcoming it? - + 1 more questions in this round (sign up to unlock)
Unlock all 13 Lookfantastic questions, free
No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.
Interview tracks at Lookfantastic
How Lookfantastic's DNA translates across functions. Pick your role.
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Practice Lookfantastic interviews end-to-end
Lookfantastic Mock Interview
Run a live mock interview with our AI interviewer using Lookfantastic-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Lookfantastic Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Lookfantastic interviewers grade on. Reuse them across every behavioral round.
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Lookfantastic Interview Prep Hub
The frameworks behind every Lookfantastic round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
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Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make Lookfantastic interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
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Sample answers
What a strong answer to these Lookfantastic interview questions shows.
Design a recommendation engine for Lookfantastic that suggests products to users based on their browsing history, purchase history, and currently viewed items. Consider scalability and personalization.
A strong answer shows: Understanding of recommendation algorithms; Data pipeline design; Scalability and performance considerations; Handling cold-start and real-time updates; Trade-off analysis.
Given a list of product IDs and their corresponding stock levels, and a list of customer orders with product IDs and quantities, write a function to determine which orders can be fulfilled. Assume stock is updated in real-time.
A strong answer shows: Data structure selection; Algorithmic efficiency; Handling concurrency/real-time aspects; Edge case consideration.
Frequently asked questions
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