Type · System Design
Design a system to securely store and retrieve anonymized electronic health records (EHR) for research purposes. Consider data ingestion, storage, access control, and compliance with regulations like HIPAA.
How to Pass the Hevy Software Engineer Interview in 2026
The Hevy DNA (TL;DR)
Hevy's Workout Tracker product interviews often gauge a candidate's ability to simplify complex fitness data. They seek individuals who can articulate how their work directly enhances the user experience within the Planner Gym Log App, demonstrating a clear understanding of user needs and product impact.
The Hevy 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 Hevy interview outcomes, avoid these common traps:
- Choosing an example that lacks significant challenge or personal accountability.
- Blaming external factors or other people for the failure.
- Making code changes without understanding the full impact or verifying the fix.
- Focusing solely on personal career goals without connecting them to Hevy's mission.
Test Yourself: Real Hevy Questions
Three real prompts pulled from our database.
Type · Algorithmic
Given a stream of anonymized patient visit data (timestamp, patient_id, visit_type), design an algorithm to detect and flag potential fraudulent visits within a sliding time window (e.g., 24 hours). For example, flagging if a patient has an unusually high number of visits or visits of specific types in a short period.
Type · Motivation
Why are you interested in working at Hevy, specifically within the pharma tech space, and what excites you about contributing to our mission of improving patient outcomes through technology?
+ many more questions, signals, and worked examples
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Hevy Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 22 questions shown
1
Recruiter Screen
1- 1
Type · Motivation
Why are you interested in working at Hevy, specifically within the pharma tech space, and what excites you about contributing to our mission of improving patient outcomes through technology?
2
Coding Screen
3- 2
Type · Algorithmic
Given a stream of anonymized patient visit data (timestamp, patient_id, visit_type), design an algorithm to detect and flag potential fraudulent visits within a sliding time window (e.g., 24 hours). For example, flagging if a patient has an unusually high number of visits or visits of specific types in a short period. - 3
Type · Algorithmic
Implement a function that takes a list of drug efficacy scores (floats) and a target efficacy threshold. The function should return the minimum number of drugs needed to achieve the target efficacy, assuming scores are additive. If the target cannot be reached, return -1. - + 1 more questions in this round (sign up to unlock)
3
System Design
3- 4
Type · System Design
Design a system to securely store and retrieve anonymized electronic health records (EHR) for research purposes. Consider data ingestion, storage, access control, and compliance with regulations like HIPAA. - 5
Type · System Design
Design a real-time notification system for healthcare providers when critical patient data changes (e.g., a significant lab result, an adverse drug reaction alert). The system needs to be reliable, scalable, and handle varying loads. - + 1 more questions in this round (sign up to unlock)
4
Onsite Coding
4- 6
Type · Algorithmic
Given a dataset of patient medication adherence logs (patient_id, medication_id, timestamp, adherence_status), write a function to calculate the adherence rate for a specific medication over a given period. Handle missing logs and different time granularities. - 7
Type · Debugging
A critical bug has been reported: users are intermittently seeing incorrect drug dosage recommendations in the app. The backend service responsible for dosage calculation relies on several external APIs (patient history, drug interaction DB) and internal logic. Debug this issue. You are given sample logs and the relevant code snippets. - + 2 more questions in this round (sign up to unlock)
5
Behavioral / Leadership
11- 8
Type · Ownership
Tell me about a time you took ownership of a project or problem that wasn't explicitly assigned to you. What was the situation, what did you do, and what was the outcome? - 9
Type · Influence
Describe a situation where you had to influence a stakeholder (e.g., engineer, designer, executive) who had a different opinion or priority. How did you approach it, and what was the result? - + 9 more questions in this round (sign up to unlock)
Unlock all 22 Hevy 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 Hevy
How Hevy's DNA translates across functions. Pick your role.
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Practice Hevy interviews end-to-end
Hevy Mock Interview
Run a live mock interview with our AI interviewer using Hevy-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Hevy Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Hevy interviewers grade on. Reuse them across every behavioral round.
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Hevy Interview Prep Hub
The frameworks behind every Hevy 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 Hevy 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 Hevy interview questions shows.
Design a system to securely store and retrieve anonymized electronic health records (EHR) for research purposes. Consider data ingestion, storage, access control, and compliance with regulations like HIPAA.
A strong answer shows: Understanding of security best practices (encryption, access control).; Knowledge of data anonymization/de-identification strategies.; Awareness of healthcare regulations (HIPAA).; Consideration of scalability, availability, and fault tolerance.; Trade-off analysis between different storage and processing options..
Given a stream of anonymized patient visit data (timestamp, patient_id, visit_type), design an algorithm to detect and flag potential fraudulent visits within a sliding time window (e.g., 24 hours). For example, flagging if a patient has an unusually high number of visits or visits of specific types in a short period.
A strong answer shows: Efficient use of data structures (hash maps, heaps).; Correct handling of time windows and sliding window logic.; Consideration of scalability and performance.; Ability to define and detect 'unusual' patterns..
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