How might we make planning, prepping, and cooking more time efficient?
How might we introduce variety when cooking for one?
How might we encourage users to cook more?
After completing a crazy 8 ideation session individually with the above design questions in mind, we came together to find common ideas and features to incorporate into a single design.
From these focus areas and common features, we created basic sketches and associated storyboards for a recipe aggregator app and a shopping pantry app. The former allowed users to upload and store their saved recipes. The latter created a shopping list from recipes, compares stores, and keep track of items that were bought.
After sharing our sketches and storyboards with our peers, they offered feedback that led us to combine these features into one single app. From that, we created the wireframe below in Miro.
After developing an interactive low-fi prototype from the wireframes to visualize the different flows, we completed an activity where we mapped the features developed to the data and analysis from our initial user research. We reflected on our users' main needs when it comes to cooking and meal planning: time efficiency and variety. While the features we included in the initial prototype did address these needs, including the Recipe Upload, Shopping List, and Store Comparison, we felt that we needed develop a unique feature that address these needs specifically and sets our application apart from other available meal planning resources. Thus, we ideated and designed a Make a Match feature that utilizes AI to generate similar to the uploaded and selected recipes.