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Hypothesis: We believe we can create value through our unique service for university students where they can resell their learning materials (not just textbooks) to

  • Hypothesis: We believe we can create value through our unique service for university students where they can resell their learning materials (not just textbooks) to other students for a fair price, so that way the students are recuperating some of the costs of the materials while still creating value for other students.

Key Assumptions

Our key assumptions have largely gone unchanged from the previous GLS; however, we have gathered more data about our consumers, created personas, and stories which all have guided us toward new Key Assumptions.

  • Customers want a platform that has ads embedded within the system rather than a monthly subscription system.
  • The Ad revenue we generate through the platform will not decrease over time.
  • The profile verification system we use within our system will effectively verify all users on the platform to build a safe environment.
  • Customers see an increasing need for such a platform with the increasing inflation and associated rise in the costs of school materials.
  • The system helps contribute positively to reducing climate change by causing less waste to accumulate (i.e., fewer unused textbooks taking up space while students buy new ones every year).
  • Our main customer segment is composed of university students.
  • Textbooks will be the most sought-after product, while we will focus on hosting a wide range of products, we will primarily focus on the promotion of textbooks.
  • The product verification system will be seamlessly implemented into our application and will ensure the products being bought and sold through our system are true products to avoid any possible scams
  • The messages we will use to communicate our product will be effectively formulated to entice potential customers to use our service
  • Using a data collection method such as Delphi/Surveys we will be able to effectively collect enough data to use the forecasting method Naive Forecast 1 (NF1) to forecast the number of students on university campuses who would use our service

Task: Explain the strengths and weaknesses of your results from these applications tests. ( what we have and WHAT WE DONT HAVE to further solidify the information we know)

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