Create an Online Car Dealership arm for Amazon

I began the task by broadly defining the target market for the product to ascertain our likely customers/users. This involved activities like drawing up assumptions such as “customers want to buy cars conveniently”; “customers want a wide range of car financing and payment options when buying cars”. The broad definition of the target market was closely followed by interviews of potential users from the target market intended to clarify assumptions and further narrow potential users and ensure the product is developed for the right users. Potential users’ insights were collected using interview questions such as “Do you own a car? How did you go about the purchase?”: “How did you buy your last car?”. With the findings and learned insights including the user’s common experiences, difficulties and car buying process, I started up on crafting a minimum viable product (MVP) to collect more validated learnings from the customers, and this included deciding on what features to have and user stories to incorporate. Features with the most value were derived and prioritized using the MSCW framework while the level of effort for their development was decided on using the T-shirt framework. In the same vein, I structured how success will be defined as well as how to measure it. Furthermore, I defined the objectives and key results for each of the prioritized MVP features and drafted their success metrics (Primary, Secondary and Guardrail Metrics).

With the outcome of the above activities, I sketched out a wireframe, a low fidelity representation of the product that will help guide the prototyping effort. These outcomes have also helped inform the structure of the shared portfolio document below.