Sprint 1
Brainstorming
Solution Analysis
User Assumptions
Persona
Hypothesis Table
Storyboard
To re-imagine learning using IxD Technology.
Cook with Mi is an online app that is designed to help people learn how to cook that will boost their motivation and confidence in the kitchen. It utilises video tutorials and simple instructions to help guide the user
through each step of
the recipe. It also features the ability to find a recipe based on the ingredients that are currently present which helps minimise food wastage.
We have observed that current competitors don't facilitate beginner cooks who are inexperienced with handling kitchen utensils. This is demonstrated with the website ‘Recipe.com’ and mobile app ‘supercook’ as they are targeted towards people
who are already familiar with cooking. It utilises complex cooking terminology whose true aim is to create the dish, instead of focusing on personal development for the individual.
This lack of consideration towards beginner cooks creates fear among a potential market causing them to lose confidence and motivation to continue cooking. This is further exemplified as it convinces more beginners to eat outside or frozen
products, leading to food wastage with ingredients in the pantry. Thus, it is imperative that beginner cooks are given an easy and simple path towards working on their cooking skills that focuses on personal growth and development, which will
slowly improve their confidence and motivation to cook.
With our app, our customers will be successful based on discovering users thoughts and feelings on the app, through app store and social media reviews. This will help gauge how satisfied customers are with the app’s ability to help them improve
in the kitchen and whether it has had an impact on their cooking ability. Furthermore, we will be monitoring and analysing the data generated by the app, based on the user’s interaction through the use of Google Analytics to track the bounce
rate of the recipe instructions. Application performance monitoring measures the app in real time and collates the data to a useful dashboard, allowing it to track the UI response time and popularity of features in the app through request
rates.
Brainstorming
Solution Analysis
User Assumptions
Persona
Hypothesis Table
Storyboard
Idea Pivot
Features Brainstorm
Logo Prototypes
Lo-fi Prototype
Mid-fi Prototype
Prototype Demo
Hi-fi Prototype
Final Prototype and Demo