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Drink Pairing feature

Role: UX Designer

When: October 2016

Duration: Two Weeks

What: Drink Pairing Feature Addition to Existing Recipe App 


Yummly is an application that allows users to find recipes with ease. Users begin by filling out taste profiles and dietary restrictions, and then browse through a curated list of recipes. The app allows users to choose  a wide variety of parameters, such as vegetarian meals,  allergen-free recipes, or preferences for sweet or savory dishes over sour. One pain point Yummly has not addressed is how users will eventually find a drink pairing for the dish they choose to create. 


As Yummly’s objective is to make finding recipes easier for users, I aimed to add a feature that would simplify drink pairing as well.


Yummly users ages 25-35 who regularly try to pair drinks with their meals. 


Users are often creating new dishes that they are unfamiliar with, or they are not sure how to pair drinks. Yummly users need a way to find drink pairings for dishes they choose from the app. 


Create a feature on the app that would allow users to receive suggested drink pairings for chosen dishes.

Research Methods

Research Takeaways

Through my research, I validated my biggest assumption – that users try to get drink recommendations – and learned users tend to purchase what they know in the most cost-effective way.

User behaviors did not come without pain points, though. The top complaints remained a lack of time and options, as well as getting recommendations that were too costly for them. 


Using the insights from my research I was able to develop two personas of which to base my designs off of

Armed with research and the flow of the Yummly app, I tackled the design. I began usability testing with the paper prototype and was quickly met with a number of pain points.

I had assumed that users would focus on their drink choice, but not only did they want to be able to select a meal type in addition to a drink, but they wanted the entire feature to be meal-based. Users also asked for more specific recommendations.

I created wireframes that addressed the issues from the paper prototype and continued testing and iterating. After going through a number of iterations, I reached what I had defined as my MVP (minimum viable product).

The main flow can be seen below, and the clickable prototype can be viewed here:

Invision Prototype

Earlier Iterations

The first iteration included a chat feature that was removed due to a lack of use.

The second iteration brought users to a non-specific drink guide

After a number of iterations and rounds of testing, I came to the final version of the main flow. Users had a clear path from recipe to drink recommendations that addressed the needs that had come up during testing. Users were provided with multiple options, various price points, and specific drink pairing recommendations, allowing them to confidently find the right chardonnay to serve with their fish.

Next Steps

Secondary Flow

Additional testing to determine if the secondary flow is necessary for users

Additional Pairings

Build out additional pairings to identify potential pain points users may encounter 

Price Points

Further testing on price points of beverages 

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