Glomp is a web app for specialized, personalized, and spontaneous event discovery based on a user’s interests.

Users enter or import details about anything they enjoy: activities, movies, TV shows, celebrities, and more. By cross-referencing this information with data from the web and from other users, Glomp is able to make uniquely accurate and interesting suggestions for upcoming events. Glomp is always active; even if the user isn’t actively searching for something to do, Glomp will surface discovered events that match the user’s interests.

 

User Research

Individual users were given an online survey that utilized a mixture of multiple choice, Likert scale, and open-ended questions. I included "not sure" options on Likert scale and made some of the more involved/complicated questions not required — encouraging completion even if some questions are skipped.

I conducted in-person interviews with retailers with the following questions:

  1. What is your business?
  2. What is your web and/or mobile presence?
  3. What kinds of store events do you have?
  4. How often do you have these events? How do you promote them, online or off?
  5. What are your average customer types?
  6. Which interests you more at this time: outreach to people who are not yet customers, or enriching relationships with existing customers?
  7. Do you have any partnerships or affiliations at this time?
  8. What are the most important factors to you in the consideration of partnering or affiliating with another business?

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Information Architecture

Mental Model

 
 

Content Groupings

Site Map

 
 

Wireframes