<aside> ❓ See 🚀Product Vision Guide and **Product Vision Meeting Agenda** for more info

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Problem Core

• While weighing options for a move, sources of data on each factor involved are in many different places.
• There isn't a platform for comparing factors based upon unique priorities.
• It is difficult to weigh all the factors involved in deciding the best place to move...
• Users need a way to easily compare multiple factors in various cities based upon their unique priorities.
• Users need a way to compare cities looking at their specific prioritized factors.

Problem Side-Effects: Common challenges when relocating

• Inefficient use of time with little info to show for
• Difficult to weigh multiple factors, such as Crime, Jobs, Pollution.
• Easy to overlook factors that otherwise may not be considered
• Easy to overlook potential new places to live that meet criteria
• Feeling overwhelmed by number of options

Objectives

• Make a single resource to allow users to weigh all their factors at once.
• Create comparisons between cities based on a user's factors to help user's decision.
• Should be fun and engaging for the user
• Minimize the amount of time spent researching cities

Solution

Web + iOS side solution

• Browsable and searchable map.
• Top recommendations grid view
• Login/logout Feature for each User
  • Onboarding system to personalize results
  • Save weights of factors
  • Save cities user has liked
• Categories by which to sort recommended locations (weighted differently dependent on user)
  • Job Market
  • Commute
  • Cost of living rating.
  • Amenities/Entertainment rating
  • Social Life
  • Weather data for regions/cities to be calculated into a rating.
  • Safety Rating
  • Housing Rating
  • Happiness report.
  • School/University rating
  • Employment Rating
  • Transportation/Traffic rating
  • Proximity to friends and family (input address)

Features(Link)

Features

Data Science

• Acquire, clean, pipe API data to get comparative scores for each factor by city
• Utilize data that is already present to find other insights and trends for more better analysis
• Adaptive to user preferences: DS to find the best way to rank quality of matches based upon user inputs by adding appropriate coefficients to a scoring function.
• Information on category scores readable units (e.g. Commute Time, 56 min.)
• Data visualization for comparing cities and factors