Here is my take on the problem statements which were of particular interest to me. For ease of scanning, these have been structured as follows:
Improving customer retention & revenue by helping Swiggy's users make better-informed decisions while choosing a dish
Increase in revenue of the 'better-informed' user
Better food and delivery ratings per order by the 'better-informed' user
Swiggy's users find it difficult to decide in trying out a new dish because there is not much information available to help them make the decision and hence low trust. Although Swiggy provides an option for restaurants to add dish images, descriptions, ingredients; not many restaurants exercise this option.
Increase customer trust by providing all information about the dish
Adding a details page for every dish as an optional button 'More about the dish'
Helps Swiggy users make an informed decision while ordering a dish by showing all information about a dish - image, ingredients, nutritional value, ratings & food tags (oily, spicy, fresh) taken from user reviews
This info is taken from 3rd party APIs like HealthifyMe and not an added responsibility on the restaurants. This automates the process and also saves Swiggy the hassle of following up with the restaurants to ensure if they have added the info.
Improve ARPU by helping CRED users locate previously viewed items that interested them & engagement by helping CRED users shop together with their friends
Increase engagement (session time) by making shopping on CRED a collaborative experience
Increase number of purchases made
Add private wishlists for users to bookmark items that interest them, so they don't lose them & can revisit them. Add shared wishlists for users to shop together with their friends on CRED.
Shopping is a time consuming process and users cannot always make quick decisions. While they need time to decide on buying an item, they don't want to lose track of it - 'out of sight, out of mind'. Introducing a wishlist helps users save their favorite items and keeps them in sight, gently reminding them to revisit. Shopping alone can be a lonely experience, and while CRED encourages users to refer their friends, it doesn't have any facilities for friends to do together once a friend is onboarded on to CRED. Using shared wishlists, friends can interact with each other, shop together, comment and upvote each other's shopping items.
Save items to revisit. Never misplace an item you liked - assurance of purchase
Get timely reminders for discounts and sales on your wishlisted items to buy it at the best price
Shop together' with a CRED friend - makes shopping an interactive experience
Add friends as wishlist collaborators. Upvote and Comment on each other's saved items. Plan trips together, gift your friends an item they wishlisted.
Make new friends on CRED by matching people with similar interests (gauged from similar items in the wishlist);
Shop together sessions - sync screen with friends and shop in real time!
Improve revenue by reducing user time and decision-making effort spent on Adobe's pricing page
Adobe's first-time users feel lost while selecting a software and plan that is best suited to their needs
Increase revenue from first-time visitors on Adobe's page by helping them find the software that is best suited to their needs
Reduce time taken per user from pricing page to checkout
Understanding a first-time visitor's problems while planning to purchase a new Adobe software
Given that a first-time visitor on Adobe's page might not have a clear idea of what all softwares Adobe offers, what is the meaning of each specification, how one software compares to the other & which one is best suited for them, I decided to come up with a Shopping Assistant to guide a new user through the pricing page
Filter Adobe's softwares
Filter by categories according to user needs (present in the existing page as tabs)
Filter as best sellers/new favorites
Filter by budget
Ask user for the job they need to get done, allow Adobe to suggest 3 best suited options
Show 'before and after'
Show before and after results (ex - image after editing with Photoshop) of each software
This acts as a substitute for description of a software - explains the features faster and from a practical standpoint
How Duolingo used gamification to successfully build a habit-building product
Duolingo kept 'Streaks' the major goal and metric to retain learners - users revisited the app daily to save their streaks
Users rewarded for performing better and doing more sessions - more badges, higher leaderboard rankings = more bragging points
Using cool mascots, animated characters, funny voices, Duo makes learning fun. Users want to keep doing something more if they think it is fun, rather than serious work
How Facebook encourages engagement from people posting for the first time
Facebook shows a dialog-box that highlights a user's first post in a group, which encourages other users to comment on (or interact with) the post to encourage & retain the newbie's interaction behaviour
FB also sends notifications to the newbie's friends about the new post
The post is given higher preference by the FB feed algo
How G-board (Google Keyboard) is cementing its user-base by diversifying
G-board isn't just used for typing messages, it already has features for emojis, stickers, GIFs.
Additionally, you can directly Google search from the G-board and send results. You can also search for GIFs and other graphics with words
Users can save upto 10 text snippets in the clipboard, access them directly from the keyboard, reducing user time (and frustration) to find commonly copy-pasted snippets