Size Flipkart's Television Unit Volume in the Diwali Festive Sale Window

Quick Overview

An estimation question asking for Flipkart's color television sales during the Diwali festive period in India. It tests clarifying units, time window and channel, building a top-down equation from households to Flipkart's festive share, keeping the arithmetic clean, and sanity-checking the result.

Size Flipkart's Television Unit Volume in the Diwali Festive Sale Window

Company: Flipkart

Role: Product Manager

Category: Product / Decision Making

Difficulty: medium

Interview Round: Other

Size Flipkart's color television sales over the Diwali festival in India. The interviewer expects a structured estimate: an equation you can defend, each assumption labeled with a round number, arithmetic that is easy to follow, and a check that the final figure is plausible. ```hint Get to a yearly figure first Most Indian households that want a TV already own one. Think about what makes a household buy a set in a given year, reach a national yearly number, and only then narrow it to the online channel, to Flipkart and to the festive weeks. ``` ### Clarifying Questions - Should the answer be in units sold or in rupee value? - Which year, and how long is the window: only the days around Diwali, or the whole festive sale season leading up to it? - Does it count only new sets sold to consumers in India, or also refurbished TVs and business buyers? - Since nearly every TV sold today is a color set, does "color TV" simply mean all televisions, smart TVs included? ### What a Strong Answer Covers - Scope pinned down before any math: units versus value, the festive window, the channel and the geography - A top-down equation from India's yearly TV purchases to the online share, Flipkart's share of online TV sales and the share that falls in the festive window, with each factor justified - Labeled round-number assumptions and arithmetic without unit slips between lakh, crore, million and billion - A sanity check from a second angle, such as the implied daily run rate or the number of households per sale - The assumptions the result is most sensitive to, and how Flipkart's own data could tighten them ### Follow-up Questions - How would you convert the unit estimate into sales value, and how do screen size and smart TVs shift the average price? - Rebuild the estimate bottom-up from the supply side. What would you need to know? - Which single assumption would you check first with internal data, and why?

Overview: An estimation question asking for Flipkart's color television sales during the Diwali festive period in India. It tests clarifying units, time window and channel, building a top-down equation from households to Flipkart's festive share, keeping the arithmetic clean, and sanity-checking the result.

Flipkart logo
Flipkart
Aug 5, 2024
mediumProduct ManagerOtherProduct / Decision Making
0
0

Size Flipkart's color television sales over the Diwali festival in India. The interviewer expects a structured estimate: an equation you can defend, each assumption labeled with a round number, arithmetic that is easy to follow, and a check that the final figure is plausible.

Clarifying Questions Guidance

  • Should the answer be in units sold or in rupee value?
  • Which year, and how long is the window: only the days around Diwali, or the whole festive sale season leading up to it?
  • Does it count only new sets sold to consumers in India, or also refurbished TVs and business buyers?
  • Since nearly every TV sold today is a color set, does "color TV" simply mean all televisions, smart TVs included?

What a Strong Answer Covers Guidance

  • Scope pinned down before any math: units versus value, the festive window, the channel and the geography
  • A top-down equation from India's yearly TV purchases to the online share, Flipkart's share of online TV sales and the share that falls in the festive window, with each factor justified
  • Labeled round-number assumptions and arithmetic without unit slips between lakh, crore, million and billion
  • A sanity check from a second angle, such as the implied daily run rate or the number of households per sale
  • The assumptions the result is most sensitive to, and how Flipkart's own data could tighten them

Follow-up Questions Guidance

  • How would you convert the unit estimate into sales value, and how do screen size and smart TVs shift the average price?
  • Rebuild the estimate bottom-up from the supply side. What would you need to know?
  • Which single assumption would you check first with internal data, and why?