Meera Krishna, Simone Laube, Shani Rokman, Andrew Kao, Jessica Kao, Jeff Jaehyun Kim
The SHINE mirror seeks to transform the getting ready experience by making the process fun, easy and tech-enabled. The mirror can catalogue your entire wardrobe and make suggestions for new outfits to wear. Additionally, the mirror provides useful information like time, weather and usage statistics to help you make the most of your wardrobe. SHINE comes with a smartphone app to help you access your wardrobe and control your mirror remotely. Moreover, the mirror utilizes smart, dynamic lighting so that you can see your outfit in realistic lighting conditions. SHINE helps consumers start their day prepared and looking their best.
When the SHINE team initially conceptualized the smart mirror, they focused the product on the female fashionista market. Over time, the SHINE team realized that there is a market for both men and women who are interested in adopting new technology that helps them look their best.
Our branding challenge is to answer the following three questions:
Should we position the SHINE brand to appeal to both men and women? For instance, what features appeal most to target male and female consumers?
Should SHINE be marketed as a tech product or a fashion product
Depending on answers to the first two questions, how does the current branding need to change?
We will initially gather deep customer insights through surveys with males and females of all demographics. The survey will help us understand the following questions:
What are the current pain points with getting dressed?
How likely are consumers to adopt the concept of a smart mirror?
What smart features are most important to men and women? To fashionistas and non-fashionistas?
Who would be our ideal consumers?
The Phase I survey will prove or disprove the following Hypotheses:
Men and women care about different features
SHINE would be most compelling to tech enthusiasts that enjoy the trends of smart home application
SHINE would be most compelling to fashion forward consumers
People care most about time saved
People want help getting dressed
People care about how they look and dressed
People would find e-commerce through the mirror useful
We will send the survey through our personal networks and use Mechanical Turk to broaden our reach. We would want to get 200 responses from a specific demographic in Mechanical Turk.
In the second phase, we would like to collect additional consumer insights on the consumers we found to be most promising as our Beachhead Market in Phase One. We will conduct observational research through daily logs on a small subgroup of this segment. Subjects within our target customer base will write a log of their daily habits while getting ready in the morning. We will then pull customer insights from these logs in order to understand customer pain points and best product features.
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