business model, business model canvas, columbia, customer development, lean launchpad, lean startup, steve blank

1. NoHnds
Hands free shopping experience for everyone

2. Consumer
•Tourist interested in
local shopping
• Females 25-65
• High net worth
shoppers
• Working
professionals looking
to quickly shop
Retailer
•Large retails stores
with locations in
Manhattan
•Small boutique shops
with no delivery
service
• Concierge service
• Delivery and pickup
• Mobile ads for
partner retailers
• Mobile App contact
with customers
Consumer
•A hands free shopping
& delivery experience
• Time savings
• Hassle free
•Shopping bag "coat
check"
• Secure
• VIP treatment
• Flexibility
Retailer
• Deliver products same
day
• Diminish shopping bags
•Provide additional foot
traffic and last mile sale
•Plan vs. forecast
product
•Data and insights
• Delivery specialist
(bike messengers
etc..)
• Concierge specialist
• Select partner
retailers
• Delivery fees (or commissions) associated with
transporting packages (variable)
• Customer acquisitions (variable)
• App development costs (fixed)
• Onsite advertising (fixed)
• Convenience fee passed on to customers
• Retailer partnerships
• In app mobile ads from retail partners
• Mobile App
• Website
• Onsite advertising
(street team)
• Delivery, concierge
and retail partners
• Mobile application
• Five star service
• White glove service
• Exclusive
promotions from
partner retailers
NoHnds Day 1

3. Female tourists on the age
range 25-65 years old find it
a problem to carry their
shopping bags around NYC
Large retails stores and small
boutique shops located in
Manhattan don’t offer same
day delivery from their stores
to customers
Day 1 – What we thought

4. NoHnds
Consumer
•Tourist interested in
local shopping
• Females & Males 25-
65
• High net worth
shoppers
• Working professionals
looking to quickly shop
Retailer
•Large retails stores
with locations in
Manhattan
•Small boutique shops
with not delivery
service
• Concierge service
• Delivery and pickup
• Mobile ads for partner
retailers
• Mobile App contact
with customers
Consumer
•A hands free shopping
& delivery experience
• Time savings
• Hassle free
•Shopping bag "coat
check"
• Secure
• VIP treatment
• Flexibility
Retailer
• Deliver products same
day
• Diminish shopping bags
•Provide
• Delivery specialist
(bike messengers
etc..)
• Concierge
specialist
• Select partner
retailers
• Delivery fees associated with transporting
packages to local hotels (variable)
• Customer acquisitions (variable)
• App development costs (fixed)
• Onsite advertising (fixed)
• Convenience fee passed on to customers
• Retailer partnerships
• In app mobile ads from retail partners
• Mobile App
• Website
• Onsite advertising
(street team)
• Delivery, concierge
and retail partners
• Mobile application
• Five star service
• White glove
service
• Exclusive
promotions from
partner retailers
Day 2

5. NoHnds
Consumer
•Tourist interested in
local shopping
• Females & Males 25-65
• Upper middle class
budget
• High net worth
shoppers
• Working professionals
looking to quickly shop
Retailer
•Large retails stores with
locations in Manhattan
•Luxury stores
• Small boutique shops
with no delivery service
• Hotels
• Concierge service
• Delivery and pickup
• Mobile ads for partner
retailers
• Mobile App contact
with customers
Consumer
•A hands free shopping &
delivery experience
• Time savings
• Hassle free
•Shopping bag "coat check"
• Secure
• VIP treatment
• Flexibility
Retailer / Hotel
• Deliver products same
day
• Diminish shopping bags
• Add "Luxury service" to
customer experience
• Delivery specialist
(bike messengers
etc..)
• Concierge
specialist
• Select partner
retailers
• Delivery fees associated with transporting
packages to local hotels (variable)
• Customer acquisitions (variable)
• App development costs (fixed)
• Onsite advertising (fixed)
• Convenience fee passed on to customers
• Retailer partnerships
• Hotel partnerships / referrals
• In app mobile ads from retail partners
• Mobile App
• Website
• Onsite advertising
(street team)
• Delivery, concierge
and retail partners
• Mobile application
• Five star service
• White glove
service
• Exclusive
promotions from
partner retailers
Day 3

6. NoHnds
Consumer
•Tourist interested in
local shopping
• Females & Males 25-65
• Upper middle class
budget
• High net worth
shoppers
• Working professionals
looking to quickly shop
Retailer
•Large retails stores with
locations in Manhattan
•Luxury stores
• Small boutique shops
with no delivery service
• Hotels
• Tourist companies
• Concierge service
• Delivery and pickup
• Mobile ads for partner
retailers
• Mobile App contact
with customers
Consumer
•A hands free shopping &
delivery experience
• Time savings
• Hassle free
•Shopping bag "coat check"
• Secure
• VIP treatment
• Flexibility
Retailer / Hotel
• Deliver products same
day
• Diminish shopping bags
• Add "Luxury service" to
customer experience
• Delivery specialist
(bike messengers
etc..)
• Concierge
specialist
• Select partner
retailers
• Tourist
transportation
companies (bus
etc...)
• Delivery fees associated with transporting
packages to local hotels (variable)
• Customer acquisitions (variable)
• Operation costs
• App development costs (fixed)
• Onsite advertising (fixed)
• Convenience fee passed on to customers
• Retailer partnerships
• Contracts with hotel/Airbnb
•In app mobile ads from retail partners
• Mobile App
• Website
• Direct sales
• Dealer Channel
• Onsite advertising
(street team)
• Delivery, concierge
and retail partners
• Mobile application
• Five star service
• White glove
service
• Exclusive
promotions from
partner retailers
Day 4

7. What we learned from day 2- 4
Customer Segments
Customer Archetype 1
(the domestic tourist)
Meet the Smiths, a middle class couple from Ohio
visiting NYC. The Smith's are in town for 6 days
and are looking to get the most out of the cities
offerings. After site seeing, the Smiths decide to
walk around the Chinatown and SoHo districts.
They decide to pick up some must have items
from the many small boutiques and large retailers
along Broadway. They quickly realize that the have
amassed a few bags and they have to make it to
their reservation at a trendy Brooklyn gastro pub.
They will go back to their hotel in Midtown, drop
off their shopping bags and head over to Brooklyn
to make their reservation. What a hassle....
Customer Archetype 2
(the international tourist)
Meet the Patel's a 4 unit family, Dad is 48, Mom is 44,
Kapil is 9, and Riya is 7. The Patel's are visiting NYC
from London for 1 week and are looking forward to
site seeing. trying new cuisine, meeting up with
friends that live in New York, and shop. Walking long
distances with young children can be difficult and
adding any items that they've purchased makes the
situation worse. If there were a mobile locker to store
shopping bags, this could provide some relief.
• Family oriented
• Travel twice a
year (December,
Summer months)
• Disposable
income
• Growing children
• Are not familiar
with NYC
• Established or
career-minded
• 25-40 years old /
Male and Female
• Travel often [tech
savvy]
• Disposable income
• Educated consumer
(they know the
trendy spots in NYC)
and they have an
agenda

8. What we learned from day 2- 4
Value Proposition
•A hands free shopping & delivery
experience
• Time savings
• Hassle free
•Shopping bag "coat check"
• Secure
• VIP treatment
• Flexibility
Consumers Tourist entertainment providers
• Offer additional service of
hassle-free shopping
• Enrich customer experience by
increasing the ease of commute
• Tour organizers can cover more
attractions

9. Key Learnings continued to other parts of the business model
Key Activities Key Resources Cost Structure
ChannelsRevenue StreamsKey Partners
Operation Costs (i.e., pilot)
App development costs
Direct Sales Team

10. NoHnds
Consumer
•Tourist interested in local
shopping
• Females & Males 25-65
• Upper middle class budget
• High net worth shoppers
• Working professionals looking to
quickly shop
Retailer
•Large retails stores with locations
in Manhattan
•Luxury stores
• Small boutique shops with no
delivery service
• Hotels
• Tourist companies
• Concierge service
• Delivery and pickup
• Mobile ads for partner retailers
• Mobile App contact with
customers
Consumer
•A hands free shopping & delivery
experience
• Time savings
• Hassle free
•Shopping bag "coat check"
• Secure
• VIP treatment
• Flexibility
Retailer / Hotel
• Deliver products same day
• Diminish shopping bags
• Add "Luxury service" to
customer experience
• Delivery specialist (bike
messengers etc..)
• Concierge specialist
• Select partner retailers
• Tourist transportation
companies (bus etc...)
• Delivery fees associated with transporting packages to local
hotels (variable)
• Customer acquisitions (variable)
• Operation costs
• App development costs (fixed)
• Onsite advertising (fixed)
• Convenience fee passed on to customers
• Retailer partnerships
• Contracts with hotel/Airbnb
•In app mobile ads from retail partners
• Mobile App
• Website
• Direct sales
• Dealer Channel
• Onsite advertising (street
team)
• Delivery, concierge and
retail partners
• Mobile application
• Five star service
• White glove service
• Exclusive promotions
from partner retailers
Day 5

11. Where we landed on day 5
Customer Segment
Revenue Streams
Key Partners
Hypotheses Key Learning Next Steps
Females ages 25-65 upper middle
class and high net worth
Delivery and storage service fees,
retailers will pay to use our service
Luxury retailers, middle retailers and
hotels
Men would use service too! High net
individuals use couriers/drivers/PA's
Tourist became our focus
Retailers do not have demand for
service, customers willing to pay
Tourism companies, BID's
Continue to refine the tourist target
market and expand to "local"
shoppers
Collect more customer data on pricing
and dive into unit economics of
storage and delivery
Contact BID's to provide pilot service

12. Where do we go from here
•Refine & expand customer segments
•Create pricing strategy
•Collect cost information and unit
economics
Create
social
media
presence
&
website to
instill trust
Offer service
for free and
collect price
sensitivity
informationDeploy pilot
program in SoHo &
contact BID's
Collect and analyze
customer data
points from pilot