Candidates who clear Swiggy loops consistently describe preparing DSA, LLD, and behavioral/culture-fit as separate tracks, since all three can show up within the same round rather than in neatly separated stages.
A track-by-track roadmap
DSA: Swiggy leans on graphs, dynamic programming, tries, and binary-search-on-answer patterns, sometimes framed as a design problem (build a data structure with specific time complexity guarantees). Work through the DSA Interview Questions here, and make sure your SQL fundamentals are solid too — database questions show up in hiring-manager rounds.
LLD: Practice going from a vague, real-world prompt (a cart, a cab-booking flow) to requirements to class design out loud — Swiggy interviewers push hard on requirements-gathering before allowing you to design anything. Start with the LLD Interview Questions here.
Behavioral & culture-fit: Prepare 2–3 real stories that can each answer multiple themes — ownership, bias for action, data-driven decisions — in STAR format. See Behavioral & Culture-Fit Questions.
A recurring piece of advice across candidate reports: clarify requirements and constraints explicitly before diving into a solution, and be upfront about known edge cases or gaps rather than hiding them — interviewers read that as strong judgment.
Read real, round-by-round Swiggy Interview Experiences to see how this plays out in an actual loop.