Company interview guide
Dream11 interview process and practice questions
Dream11 is the best-known product of Dream Sports, a sports technology company whose platforms see sharp traffic peaks around live matches. Candidates commonly report coding, problem-solving and system design rounds for engineers, and conversations around the group's published DOPUT values: Data Driven, Ownership, Perseverance, User First and Transparency.
As candidates commonly report it; it varies by team, level and year. Last reviewed 18 October 2026.
The interview process
- 1Recruiter or HR screen
- 2Online or live coding round for engineering roles (often)
- 3Problem-solving or machine coding discussion
- 4System design for experienced engineers, often around scale and traffic spikes
- 5Hiring manager round on past work and ownership
- 6Culture or HR conversation, often around the DOPUT values
What interviewers listen for
- Data Driven
- Ownership
- Perseverance
- User First
- Transparency
- Designing for sudden traffic peaks around match start times
- Understanding sports fans and how they use the product
Behavioral questions
Tell me about a decision you made based on data that went against your first instinct.
A good answer covers
- What you first believed and why
- The data you looked at and how you checked it was sound
- The decision you made and how it turned out
Tell me about a problem you owned end to end, from spotting it to fixing it for good.
A good answer covers
- How you noticed it and why you took it on
- The steps you drove yourself, and who you pulled in
- The lasting fix and how you checked it held
Describe a time you kept going on something hard after your first attempts failed.
A good answer covers
- Why the problem was hard and what you tried first
- What you changed after each failure, not just trying harder
- Where it ended up, including if it was only partly solved
Tell me about a time you shared bad news early with your team or manager.
A good answer covers
- What the news was and why it would have been easy to wait
- How and when you raised it, with the facts and options
- What raising it early made possible
Describe a time you changed what you were building after seeing how users actually used it.
A good answer covers
- What you planned and what users really did
- How you learned it: data, feedback, watching sessions
- What you changed and the effect on users
Role and technical questions
Lineups are announced shortly before a match, and many users edit their teams in the last minutes. How would you design for that rush?
A good answer covers
- Estimating the peak and separating reads (player data) from writes (team saves)
- Caching, queues and autoscaling ahead of known match times
- Locking teams cleanly at the deadline, and what degrades first under strain
How would you design a live leaderboard that updates points for a very large contest as the match happens?
A good answer covers
- Turning match events into player points, then into team scores
- Ranking at scale: sharding, sorted structures, updating in batches
- Being honest in the UI about delay, and how the final result is confirmed
A big match is a week away. How would you prepare the platform and the team for the expected peak?
A good answer covers
- Capacity planning from past peaks, plus load tests at a higher level
- A change freeze, runbooks and clear on-call roles for match day
- What you'd switch off first if load exceeded the plan
Explain how you'd use caching for match and player data, and what can go wrong when the cache is stale.
A good answer covers
- What to cache and for how long, based on how often it changes
- Invalidation when a lineup or score changes
- Problems such as users seeing old data, and a thundering herd when a cache expires
Many users drop off on the team-creation screen. How would you find out why and test a fix?
A good answer covers
- Finding exactly where in the flow they leave, by device and type of user
- Watching sessions or asking users, not only reading dashboards
- One fix to test with a clear success metric and a guardrail
How would you show that a new feature increased engagement, rather than just moving it from another part of the app?
A good answer covers
- An A/B test or holdout group instead of a before-and-after view
- Measuring total engagement per user, not just use of the new feature
- Allowing for match schedules, since big games change behaviour on their own
Why Dream11? Fit and HR questions
Why Dream Sports? Which of the DOPUT values describes how you like to work?
A good answer covers
- A reason tied to sport, scale or the product, not only the brand
- One value with a short, real example
- What you want to learn or build here
Which sport do you follow most closely, and what would you build for its fans?
A good answer covers
- Genuine knowledge of how fans of that sport follow it
- An idea framed around a fan's problem, not a feature list
- How you'd know fans valued it
Tips
- Use the product as a fan would before the interview: build a team, follow it through a match and notice where the experience could improve.
- In design rounds, start with the traffic shape: quiet most of the time, then a sharp peak near match start.
- Prepare one story for each DOPUT value; Ownership and User First are easy to show with real examples.
- Bring numbers to data-driven stories: what you measured, the baseline and the change.
- Show you care about sport, but keep answers about users and outcomes, not just your favourite team.
Practise it out loud
A mock interview asks the way Dream11's interviewers are known to, follows up on your answers and gives you a report. The warm-up is free, needs no account and checks five of these questions as you answer.
About this guide
Written by Orbit from Dream11's own public pages and what candidates commonly report. Orbit isn't affiliated with Dream11. The questions are practice questions in the style of its interviews, not questions taken from them. Processes change, so check the job post and what your recruiter tells you.