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Interview Simplified

Design Guide

It will help a candidate to translate product requirements into clean, modular, and code-ready designs. It focuses on object-oriented thinking, class design, design patterns, and applying engineering principles like SOLID and DRY.

🧑🏻‍💻 Low-Level Design (LLD) Interview — At a Glance

A Low-Level Design (LLD) interview (sometimes called an “Object-Oriented Design” or “Component Design” interview) focuses on how you translate high-level product or system requirements into concrete, code-ready designs. It bridges the gap between a broad “what should the system do?” conversation (High-Level Design, HLD) and the actual implementation you would check into a repo.


🎯 What the Interviewer Wants to See

AspectWhat They EvaluateTypical Signals
Object ModelingCorrect identification of entities, relationships, and responsibilitiesWell-named classes, clear ownership, proper use of composition/aggregation
Design PrinciplesUnderstanding and application of SOLID, DRY, YAGNI, etc.Ability to justify choices (“I’m using Strategy here to support extension without modification…”)
Design PatternsKnowing when (and when not) to apply patternsThoughtful use of Factory, Observer, Builder, etc.—not pattern-driven over-engineering
Scalability & ExtensibilityHow your design evolves when requirements changeDiscussing future features, versioning, interface segregation
Code-Level DetailsClarity on data structures, method signatures, APIs, edge casesSketching class diagrams, writing key interfaces on a whiteboard or editor
Trade-off DiscussionAwareness of performance, memory, concurrency, and simplicityArticulating why you chose a hash map over a tree, or async processing over sync

🔶 Typical Format

StageWhat Happens
Clarify RequirementsAsk questions: scope, constraints, performance goals.
Identify Core EntitiesList nouns and verbs, decide on classes/modules.
Draw RelationshipsUML-lite: associations, inheritance, composition.
Define Interfaces & Key MethodsShow method names, arguments, return types.
Discuss Data Structures & AlgorithmsPick concrete structures, explain complexities.
Handle Edge Cases & ExtensionsFault tolerance, version upgrades, new features.
Review & IterateInvite feedback, adjust design, highlight trade-offs.

📕 How It Differs from High-Level Design (HLD)

HLDLLD
Focuses on system architecture—services, databases, communication protocolsFocuses on internal structure—classes, APIs, algorithms
Talks about scale, availability, partitionsTalks about methods, data structures, object responsibilities
Typically involves diagrams like service boxes, load balancers, queuesInvolves class diagrams, sequence diagrams, sometimes pseudo-code
Output is a blueprint for multiple teamsOutput is a blueprint for actual code in one team/repo

🧩 A Simple Approach System

Clarify Requirements

  • Ask questions to understand the full scope of the problem
  • Identify the core features and basic flows
  • Clarify edge cases and constraints
  • Agree on assumptions if requirements are vague

Define Core Objects/Classes

  • Identify the high level objects/classes needed based on requirements
  • Consider entities like User, Order, Product etc.
  • Outline key attributes for each class
  • Keep it high level at this stage

Establish Relationships Between Objects

  • Map out how the core classes would interact with each other
  • Note the direction of communication between objects
  • Define clean interfaces for how objects will collaborate/exchange data
  • Consider 1-1, 1-many, inheritance relationships

Define Required Functionality

  • Outline main methods/functions needed in each class
  • Focus on core functionality at first
  • Provide method signatures, inputs and outputs
  • Consider class scope, access modifiers

Apply OOP Principles and Patterns

  • Use abstraction, encapsulation properly
  • Identify where inheritance makes sense
  • Apply patterns like MVC, singleton etc. where applicable
  • Break code into modules/packages for better organization

Write Clean, Structured Code (If asked)

  • Use proper naming conventions for classes, attributes, methods
  • Modularize code into files, folders based on functionality
  • Format code properly with line spacing for readability
  • Add comments to explain complex parts

✅ Conclusion

The LLD interview tests how well you can move from requirements to a clean, extensible, code-level design—demonstrating sound engineering judgment, knowledge of design principles, and clear communication. Nail those, and you’ll show hiring teams you can own real-world features from concept to commit.