Practise real Swiggy interview rounds with an AI interviewer that adapts to your answers — 2 mock interviews across 2 roles, modelled on real candidate reports from 2024 to 2026. Each ends with a published rubric and a transcript-backed scorecard, so you know exactly what to fix before the real thing.
A spoken Fermi estimate of daily Swiggy Instamart grocery orders in Mumbai, where every assumption gets interrupted before you finish the multiplication. Rohan Khanna, a Swiggy APM-loop interviewer, runs the Associate Product Manager estimation round and pushes on each number the moment it sounds shaky. You walk away with a transcript-backed scorecard naming the exact assumption you could not ground in a number.
A spoken estimation round sizing Swiggy food orders per hour in Bangalore during the dinner peak, with every assumption pushed before the arithmetic is allowed to land. Rohan Mehta, a former marketplace PM now advising a fictional logistics startup, withholds guidance and interrupts mid-calculation the way a real Swiggy interviewer does. You walk away with a transcript-backed scorecard naming the exact assumption you could not ground in a number.