Design a social shopping feature at an eCommerce platform. How will you launch the MVP?
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Background and Context
Who are we
We are India's largest e-commerce company with a target market being the tier 2 and tier 3 cities
We operate across multiple categories i.e we sell everything
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
What are our objectives?
We want to increase the feeling of community connection and trust by creating a fun and engaging shopping experience
What are the constraints?
Time - We have to launch in anticipation of the big billion days, Flipkart's biggest annual shopping event
Money - No constraints
Resources - We have a newly formed social commerce team of product managers, designers, and engineers working on all initiatives under this program.
Geography - India, tier 2 and 3 cities
Technology - No restrictions as of now
Market - Users & needs
Users & Segments
Any shopper from tier 2 and tier 3 cities in India
Sellers selling to these customers
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
| 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
| Rewarding users for submitting and sourcing reviews. (e.g give flipkart coins) | H | M | We may end up with a lot of spam/fake reviews |
Review guide per category - these will assist customers in providing more relevant reviews | H | L | - | ||
2 | Product descriptions are in plain text and it are difficult to find relevant data | Incentivize sellers to create videos of products | H | 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 | 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 | H | H | – |
Embed explainer videos on product detail pages | H | 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 | H | M | – | ||
4 | Shopping is a very siloed experience which makes buying experience boring and decision-making longer and harder | Live stream selling
| H | H | – |
Introduce group buys for certain categories | H | 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
Need #1 - Lack of quality reviews
Rewarding users for submitting and sourcing reviews. (e.g give flipkart coins)
Review guide per category - these will assist customers in providing more relevant reviews
Need #3 - Offline research
Embed explainer videos on product detail pages
Embed review videos of the top items in the category by cost, features, etc
Need #4 - Shopping is siloed experience
Live stream selling
New launches
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.
These categories are high traffic
Shoppers do heavy research in these categories before buying
A lot of content creators already work and have multiple videos in these categories
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