Phase 4: Speed Dating + Synthesis

During Carnival week, we scheduled four speed dating sessions. We presented storyboards representing the ideas that we came up with earlier. In this post, we will summarize the feedback we received and describe the final solutions that we came up. We focused on analyzing four scenarios from the user phases: browsing, bringing shoes to you, treadmill, and payment.

Scenario 1: Browsing

  1. Private room could be better, could go either way. Would trust automatic foot sizing device if they knew it to be accurate. Although most people already know their shoe size. Streamlined process is better but others might have issue with it searching through their purchase history? Utilizing shopping history would make it more personal.
  2. Not used to full-service shoe stores, preferred shoe stock being on sale floor. Suggestions would be useful. In process C would be scared of how the system would gauge his interest in a shoe. Preferred process B. Massages were his favorite part.
  3. Foot massage would freak me out. Using the token to select a shoe feels like too I have to make too high of a commitment. Process C seems too magical for him. Having shoes just show up when you sit down would make me uncomfortable. Having to sit down would be a weird formality. If I just saw everyone randomly sitting down I’d be freaked out.
  4. Full service shoe store seems way too complicated and like there would be a lot of waiting around. You don’t get the instant gratification of trying on shoes if you have to wait on salesperson. I don’t really want a massage at a shoe store. Not sure how his interest is monitored and would expect there to be errors. Token would be more precise so he preferred process B. Using shoe history is interesting, but it would have to be based on the shoe’s actual shape & dimensions rather than its nominal size.

Final Solution: Your personal smart agent conveys your shopping goal to the store’s system and your preferred level of interaction. Your shoe size is automatically calculated based on your purchase history and displayed to only you as you walk through the door. When you get there, shoe suggestions are made based on your goal, purchase history, and clothing outfits. Tap the face of the shoe shelf to bring up options and add to shopping cart. Review contents of shopping cart then summon the robot to bring you the shoes.

Scenario 1 flow diagram

Scenario 2: Bringing shoes to you

  1. Preferred robot (easy on customer)
  2. Preferred human interaction — didn’t trust robot opinion on shoes
  3. Didn’t like that you were assigned a place to try on shoes. Robot would freak me out if it just came to me. If it came after a pressed a button I would be more comfortable. I wouldn’t understand how the robot could “see” me. I don’t know how much I would trust the robot’s suggestions, but that being said, I do trust Amazon’s suggestions. If I went to the store regularly I might trust the robot.
  4. Because the salespeople have the option to select you, it seems like it’s not guaranteed or expedient. Preferred robot: minimize human interaction. When I interact with a salesperson I’m also thinking about their motives. A robot wouldn’t create that kind of pressure, work work as quickly as possible, and could easily retrieve shoes from stock.

Final Solution: Shoes come out of a trapdoor in the floor and line up at your try-on station, which is a semi-private island located at corners of the store. Interaction with the shoes is gesture-based and the shoes react to your interests and can be beckoned or dismissed (sort of like The Bachelor). Companions can share this experience with you at your try-on station. You have the option of pressing a button to request help/personal opinions from a salesperson.

Scenario 2 flow diagram

Scenario 3: Treadmill

  1. Fine in public. Treadmill shouldn’t feel artificial
  2. Fine in public. Helpful because has used
  3. Fine in public. Don’t want them all lined up next to each other
  4. Fine in public. He really liked idea

Final Solution: Treadmill embedded into the floor with texture options. We’re exploring a “smart mirror” that could offer suggestions and help you preview shoe options with your wardrobe.

Scenario 3 flow diagram

Scenario 4: Payment

  1. Liked convenience. Liked the extra info on receipt, liked confirm
  2. Liked convenience. Was okay with confirm, if he got a receipt without notification
  3. Liked convenience. Wanted confirm to be there
  4. Liked convenience. Likes extra info on receipt. Would feel a little safer confirming price, but not needed

Final Solution: When you decide on a shoe, you tap to confirm payment, walk directly out of store, and receipt gets sent but no push notification.

Scenario 4 flow diagram

One clap, two clap, three clap, forty?

By clapping more or less, you can signal to us which stories really stand out.