Canva

Assessment Rubric Overview: "Flight Dependencies"

The "Flight Dependencies" problem evaluates a candidate's proficiency in graph theory, algorithm design, and their ability to model real-world scenarios computationally. This problem requires candidates to identify and manage dependencies within a network, a skill highly valued at Canva, where complex systems and interdependencies are common.

Core Competencies and Skills Evaluated:

• Graph Theory and Data Structures: Candidates should demonstrate a solid understanding of directed graphs, nodes, edges, and traversal techniques.

• Algorithm Design: The ability to design efficient algorithms to detect and propagate delays through a network, ensuring all dependent flights are identified.

• Problem Modeling: Translating a real-world scenario into a computational model, effectively representing flight dependencies and delays.

• Complexity Analysis: Evaluating the time and space complexity of the proposed solution to ensure scalability and efficiency.

Behavioral Traits and Problem-Solving Approaches Assessed:

• Analytical Thinking: Approaching the problem methodically, breaking it down into manageable components.

• Attention to Detail: Ensuring all dependencies are accurately captured and delays are correctly propagated.

• Communication Skills: Clearly articulating the thought process, assumptions, and reasoning behind the solution.

• Adaptability: Adjusting the approach based on feedback or new information, demonstrating flexibility in problem-solving.

Assessment Process Expectations:

At Canva, the interview process is structured to evaluate both technical and behavioral competencies. Candidates can expect a series of interviews, including:

1. Technical Screening: Assessing problem-solving abilities through coding challenges or algorithmic questions.

2. System Design Interview: Evaluating the ability to design scalable and efficient systems, often involving real-world scenarios.

3. Behavioral Interview: Understanding the candidate's alignment with Canva's values and culture, and assessing soft skills.

Feedback is typically provided promptly after each stage, with clear communication regarding the next steps. Candidates are encouraged to ask questions and engage in discussions to demonstrate their interest and understanding.

Preparation Recommendations:

• Review Graph Algorithms: Focus on depth-first search (DFS), breadth-first search (BFS), and topological sorting, as they are fundamental to solving dependency-related problems.

• Practice System Design: Engage in exercises that involve designing systems with complex interdependencies to build intuition for such problems.

• Understand Time Complexity: Be prepared to analyze and discuss the efficiency of your solutions, considering both time and space complexities.

• Mock Interviews: Participate in mock interviews to simulate the interview environment and receive constructive feedback.

Evaluation Criteria and Technical Concepts:

• Correctness: Ensuring the solution accurately identifies all delayed flights, including indirect dependencies.

• Efficiency: Implementing an algorithm with optimal time and space complexity, suitable for large datasets.

• Clarity: Writing clean, readable, and well-documented code.

• Scalability: Designing solutions that can handle increasing numbers of flights and dependencies without significant performance degradation.

Canva-Specific Expectations and Cultural Fit Considerations:

Canva values candidates who demonstrate a passion for problem-solving, a collaborative mindset, and a commitment to continuous learning. During the interview process, candidates should exhibit:

• Collaboration: A willingness to engage in discussions, share ideas, and consider alternative solutions.

• Growth Mindset: An openness to feedback and a desire to improve and adapt.

• Cultural Alignment: A genuine interest in Canva's mission and values, and an understanding of how they align with personal and professional goals.

By focusing on these areas, candidates can effectively prepare for the "Flight Dependencies" problem and align with Canva's interview process and cultural expectations.