Please revise the M4 Market Analysis portion I attached based (Customer Segments focus) on our new direction as well as professor’s feedback (just focus on the points in the M4 Market Analysis I attached)
New Direction:
Business Idea: There are more existing products and services that offer AR try-on. However, the survey says there is a higher percentage of users that find locating items their biggest pain point of the survey choices. Since the primary research report includes user survey, I think we should lean more on the survey results and focus on in-store navigation / locating products.
Professor’s Feedback:
You will need a clearer articulation of the shopping category in which this application is most useful. AR is a visual technology, so only those shopping categories like clothing, furniture, etc. (as you suggest), in which the juxtaposition of the product with the context (customer body or living space) makes sense. For standardized products like mobile phones, for example, such as application may not be useful.
Additional Information:
Survey:
Survey we sent out for the research to gather the following information:
What if instead of pivoting away from the first results that didn’t rate try on too highly, we put both the locator ar and try-on ar in the survey as a part a/b. More detailed than the first survey and see which has stronger reactions/ use case.
This way if the results for tryon are not ideal, we still got data to move forward with location ar.
Part A is about locating items in store using AR, and Part B is about using AR to try on things in an online shopping context
https://jh.qualtrics.com/jfe/form/SV_1HUpfnrreoQeycC
Objectives of the final report:
(follow the ‘primary research document’ that provides an outline of what this report will include, as well as questions it will answer/follow is below), as well as what the survey is helping us determine – i. e. What if instead of pivoting away from the first results that didn’t rate try on too highly, we put both the locator ar and try-on ar in the survey as a part a/b. More detailed than the first survey and see which has stronger reactions/ use case. This way if the results for tryon are not ideal, we still got data to move forward with location ar – can help us determine the bigger need of 1) trying on or (2) locating items in a store
