Proposed next steps:
You need to be the project owner to select a next step.
We would recommend continued research to provide a history of both FOMO (feeling of missing out) and JOMO (joy of missing out). This will focus on how the trends/memes originated; when, where, and by whom; and how they became so popularized. As well, we will work on identifying 6-9 trends/memes created and popularized by millennials, with a focus on those relating to pop culture, ways of communicating, and key phrases. For each, we will describe what it is, explain when and how it was created, and how it became popularized. We will focus on trends/memes that have been adopted in a major way not just by millennials, but by other generations.
As well, we would recommend continued research into food delivery and restaurant-focused apps, including GrubHub, Seamless, DoorDash, and Caviar, as well as Yelp, Resy, and OpenTable.
Specifically, we will focus on how restaurant delivery apps (GrubHub, Seamless, DoorDash, and Caviar) grew their markets. For each app, we will provide a summary of their market penetration strategies and how they worked to grow the app in the United States and, more specifically, in highly-populated tier 1 and 2 cities such as New York, San Francisco, Los Angeles, Chicago, Austin, and San Diego. (4)
As well, we would recommend research into restaurant owners' opinions of and feelings towards food delivery apps such as GrubHub, Seamless, DoorDash, and Caviar. Specifically, we will identify those things restaurant owners do and don't like about food delivery apps, their general feelings towards this type of technology, and any specific ways that these apps impact restaurants (such as with regards to total earnings). (2)
Further, we would recommend continued research into what consumers do and don't like about restaurant-focused apps, including Yelp, Resy, and OpenTable. This will focus on consumers' perceived likes and dislikes concerning these apps, with a specific focus just on the apps (as opposed to their websites). (1)
As well, we would recommend continued research into what drives a consumer to use a specific app repeatedly. Specifically, we will look into what motivates a user to download and regularly use an app, including what features are most likely to cause this habit; as well as what types of features drive someone to download but rarely use an app. As well, we will identify three apps which are commonly downloaded and routinely (daily) used, as well as three apps which are commonly downloaded but rarely (1-2 times a month or less) used. For each app identified, we will provide its name, the number of downloads on both iPhone and Android, a brief description of the app and its features, a description of how often it is typically used, and an explanation of why that is. (2)
Additionally, we will work on providing a consumer profile for users of restaurant-focused apps such as Resy, OpenTable, and Yelp. This will include both a demographic (age, gender, geographic location, income level, and education level) and psychographic (their motivations, interests, and hobbies) analysis for these consumers. (2)
Finally, we would recommend research into why Mondays are traditionally the worst/slowest nights for restaurant businesses. As well, we will work on providing 2-3 case studies of restaurants that have successfully increased their Monday traffic. For each restaurant identified, we will provide their name, their location(s), what strategy they used to increase traffic, and evidence that it was successful (such as increased sales or another similar metric).