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Design a social shopping feature at an eCommerce platform. How will you launch the MVP?

Asked at Flipkart
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Background and Context

  1. Who are we 

    1. We are India's largest e-commerce company with a target market being the tier 2 and tier 3 cities 

    2. We operate across multiple categories i.e we sell everything 

    3. Social commerce is the combination of social media and commerce that promotes user contribution and the simulation of real-life buying experiences to assist in purchases


 

  1. What are our objectives? 

    1. We want to increase the feeling of community connection and trust by creating a fun and engaging shopping experience
       

  2. What are the constraints? 

    1. Time - We have to launch in anticipation of the big billion days, Flipkart's biggest annual shopping event 

    2. Money - No constraints 

    3. Resources - We have a newly formed social commerce team of product managers, designers, and engineers working on all initiatives under this program.

    4. Geography - India, tier 2 and 3 cities 

    5. Technology - No restrictions as of now


 

Market - Users & needs

 

  1. Users & Segments 

    1. Any shopper from tier 2 and tier 3 cities in India 

    2. Sellers selling to these customers
       

  2. Opportunities & Prioritization - needs, desires, and pain points 


The prioritization done below is based on the fact that we have to launch an MVP.  This does not mean that other needs are not important. We are trying to surface those opportunities that can directly fulfill business objectives. 

Buyers 

Lack of quality reviews on products 

  • Lack of social proof 

  • No incentives to add reviews 

Must Have 

Product images are low-quality there is a lack of standardization

could Have 

Product descriptions are in plain text and are difficult to find relevant data 

must Have 

A lot of offline research is done especially in the electronics category which moves the users to other platforms 

must have 

Items are out of stock quickly sometimes sellers cannot keep up with the demand 

won't have 

Product discovery often starts with a manual search. There is a lack of personalization and recommendations 

won't have 

Shopping is a very siloed experience which makes buying experience boring and decision-making longer and harder 

must have 


 

Sellers 

Lack of tools/equipment/knowledge to build more robust product information 

won't have 

Lack data on customers, and they do not know what the customer want’s/needs 

won't have 

COD is the preferred mode of payment but also has the highest return rate 

won't have 


 

Brainstorming solutions to prioritized opportunities 


 

#

Need 

Feature 

Impact 

Effort 

Downsides/Counter Solutions

1

Lack of quality reviews on products 

  1. Lack of social proof 

  2. No incentives to add reviews 


 

Rewarding users for submitting and sourcing reviews. (e.g give flipkart coins)

We may end up with a lot of spam/fake reviews 

Review guide per category - these will assist customers in providing more relevant reviews 

L

-

2

Product descriptions are in plain text and it are difficult to find relevant data 

Incentivize sellers to create videos of products 

H

Low ticket items may not see traction 

Enable sellers to source local talents like photographers, content writers, and videographers to create robust product details and descriptions 

H

It May be too expensive for small sellers they may not be interested in spending more 

3

A lot of offline research is done especially in the electronics category which moves the users to other platforms 

Enables sellers/brands to create unique affiliate programs 

– 

Embed explainer videos on product detail pages 

M

It May not work for all categories and the initial cost of creating these videos may be really high 

Embed review videos of the top items in the category by cost, features, etc

M

4

Shopping is a very siloed experience which makes buying experience boring and decision-making longer and harder 

Live stream selling 

  1. New launches 

  2. Sale items 

Introduce group buys for certain categories 

M

Group buys for certain categories like groceries may work but not for all 

 

For MVP, we could start by prioritizing features that address the following pian-points 

  1. Need #1 - Lack of quality reviews 

    1. Rewarding users for submitting and sourcing reviews. (e.g give flipkart coins)

    2. Review guide per category - these will assist customers in providing more relevant reviews 

  2. Need #3 - Offline research 

    1. Embed explainer videos on product detail pages 

    2. Embed review videos of the top items in the category by cost, features, etc

  3. Need #4 - Shopping is siloed experience 

    1. Live stream selling 

      1. New launches 

      2. Sale items

 

Our approach should be to A/B first with a small group and then based on traction see how we can scale to more audiences. 

The two categories we should start with are Electronics and Beauty. 

 

  1. These categories are high traffic 

  2. Shoppers do heavy research in these categories before buying 

  3. A lot of content creators already work and have multiple videos in these categories

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Get access to over 238 hours of video material containing an interview prep course, recorded mock interviews by expert PMs, group practice sessions, and QAs with expert PMs
Boost your confidence in PM interviews by attending peer to peer mock interview practices, group practices, and QA sessions with expert PMs