Flipkart Social Commerce: Feature Concept and MVP Pilot Plan

You are a product manager at Flipkart, the Indian e-commerce marketplace. Design a social shopping feature, meaning something that lets other people (friends, family, fellow buyers or creators) shape what a shopper discovers and decides to buy. Then explain how you would launch it as a minimum viable product (MVP). ### Clarifying Questions - What is the feature mainly for: higher purchase conversion, new shoppers arriving through shares, more frequent visits, or something else? - Which shoppers matter most: metro shoppers, shoppers in smaller cities and towns, or people buying online for the first time? - Is there a date the MVP must be ready by, such as a major sale event? - Are there limits on using shoppers' contacts, or on showing others what a shopper browses or buys? ### Part 1 — Design the feature Pick the shoppers and the problem you would target, generate a few distinct social shopping ideas, and choose one to build. Describe how it works for the shopper and for anyone else involved. ```hint Start from behavior that already exists Think about when shoppers already turn to other people before buying, often outside the app, and which step of the purchase that help serves. Designing around one of those moments beats copying a social network. ``` #### What This Part Should Cover - A goal tied to Flipkart's business and a chosen shopper segment with concrete pain points. - Several distinct concepts compared on impact, effort and risk, with a reasoned choice. - The chosen feature's flow, the social signal or content it relies on, and how it guards against fake content and privacy problems. ### Part 2 — Launch the MVP Define the smallest version that tests whether the idea works, how you would roll it out, and what results would make you scale it, change it or stop. ```hint Test the riskiest belief first Identify which assumption about the feature is most likely to be wrong, and scope the first release so it answers that question cheaply with a limited set of shoppers or categories. ``` #### What This Part Should Cover - MVP scope: what is in, what is deliberately left out, and why. - Rollout: which categories or cohorts go first and how the experiment is designed. - Success metrics, guardrails, and the rule for scaling or stopping. ### What a Strong Answer Covers - A clear thread from goal to segment to pain point to the chosen feature and its MVP. - Fit with how Flipkart's shoppers actually shop, including the categories where other people's opinions matter most. - Trust and safety throughout: fake or paid endorsements, spam, and the privacy of people's social connections. - Metrics that separate early adoption from business impact. ### Follow-up Questions - The MVP lifts conversion in one category, but return rates there rise too. What do you do? - Would you build friend connections inside the app or rely on sharing through messaging apps, and why? - How would you stop sellers from gaming the feature with fake endorsements?