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Duolingo behavioral interview questions

Researched interview questions, process detail, and difficulty signals for Duolingo, compiled by the Primly research team.

3 experiences Difficulty 3.3/5 Edtech

Content Designer, Language Learning

take_home · Difficulty 3/5

Candidates report a recruiter screen and a portfolio or writing review early in the process. The process typically includes a take-home exercise that simulates on-the-job work, such as writing or revising learning content, crafting hints or explanations, or adapting content to a style guide. Follow-up interviews often cover collaboration with product and learning science partners, quality and consistency standards, and iteration based on feedback. Timelines vary, but candidates frequently describe a multi-stage process over several weeks due to review cycles for work samples.

  • Create or revise a short set of learning items for a target skill, and explain the rationale for difficulty progression.
  • How would you improve a lesson that shows strong completion but weak retention a week later?
  • Describe a time you incorporated critical feedback into your writing or content and what changed in the next iteration.
  • How do you maintain a consistent voice and learner-friendly tone while meeting accuracy requirements?

Product Manager

virtual · Difficulty 3/5

Candidates report an initial recruiter conversation focused on role fit and motivation, followed by a hiring manager screen that evaluates product judgment. The process typically includes a panel or virtual onsite with interviews spanning product sense, experimentation and metrics, stakeholder management, and communication. Some candidates encounter a case-style exercise that asks for a structured proposal and measurement plan for a learning or engagement feature. Decisions are often made after cross-functional debriefs, and the overall process frequently takes several weeks.

  • How would you improve a key learning or engagement metric in the app, and what hypotheses would you test first?
  • Define success metrics for a new feature and describe an A/B test plan, including guardrails and duration considerations.
  • Tell me about a time you aligned engineering, design, and data partners around a difficult tradeoff.
  • What does ‘fun’ in a learning product mean to you, and how would you reflect it in product decisions?

Software Engineer, Backend

virtual · Difficulty 4/5

Candidates report a recruiter screen followed by one or two technical screens, often focused on coding and problem-solving. The process typically includes a virtual onsite loop with multiple interviews covering algorithms, systems or service design (depending on level), and collaboration or values. Some candidates also describe a short take-home or practical exercise in certain teams, though many loops rely on live coding. Timelines commonly span a few weeks from first contact to decision, with variability based on scheduling and team matching.

  • Implement a function that parses and validates structured input, then discuss time and space complexity.
  • Design a simple service to support a learning feature (for example, tracking streaks or lesson completion) and explain data storage and API choices.
  • Describe a time an experiment or feature you shipped did not perform as expected. What did you do next?
  • How do you balance code quality with shipping quickly in a product-focused environment?