Chef Connect Application:
Interviews Completed:
39 initial + 36 MVP
Total: 75
FoodXotic
Please your Palate
MIS HORT MIS MIS MIS
Initial Proposition
Our Initial Hypothesis
The test:
We believe that home chefs will use our app to acquire rare ingredients and
connect to a customer base.
We believe that customer will use our app to reach chefs who cook athinitic
meals, and they will purchase items and foods that are hard to find or too
expensive.
What will it look like:
Broker Home Chefs and Customers (us being the middleman); get native
foods/ internationals who want food from home; specialty foods; delivery
Customer Discovery Story
Initial interviews: 39 (22 chefs+ 17 customers)
Who we talked to:
● Home chefs, bakers, inspiring chefs
● International students, non-international students, non
students
Chef Feedback
What we learn:
We were wrong!
Surprise!
● Home chefs didn’t want to be
professionals
● Aspiring chefs and Bakers were
interested
● Chefs didn’t need ingredient middle
man
Customer Feedback
What we learn:
We were right and wrong
Surprise!
● International didn’t need to buy home
food
● Cook it themself; can go home
● Older folks can cook themself and not
interested in trying new foods
● Interest in trying new foods
● Didn’t care for delivery
Results...
Pivot
Changing our Value Prop and Customer Segment
Too many businesses at once (mentor feedback)
The Pivot
Pivoted to :
● Professionally inclined chefs
● Financially stable young adults
● Focused only on connecting chefs and
customers, no delivery or ingredients
● FDA Regulations
● Elimination of home kitchens
Pivoted Business Value Canvas Akanksha
CHEFS:
- Middle age and
Young Adults
(18-35)
- Professionally
inclined
- Home chefs
CUSTOMERS:
- All nationalities
- Both M and F
- Age - 18 to 35
- Food lover
- Open to
experiment
CHEFS:
I believe professional
or aspiring chefs who
cannot afford to open
their own
establishment will use
our service to build
brand and reach
customers
CUSTOMERS:
I believe customers
who are looking to
experiment with
cuisine will use our
service to find chefs.
-Delivery Service?
-Direct Supplier: Ingredients?
2) Indirect: Web-Site/Mobile App
-Kitchen area and maintenance costs
-Finance & Marketing team
-Cooking Equipment
-Food Licence costs
-Rental Space
-Advertisements
Pivoted Value Proposition canvas
“People who want to expand their cooking skills to professional or expert
level would be able to find the right set of customers who crave for
authentic food and trustworthy chefs”.
Chefs: Professional, home chefs, aspiring chefs
Customers : All nationalities who are open to experiment and try new variety of
food
Youn
g
adults
New Hypotheses
Chefs :
● Ambitious
● Professionally
inclined
Customers who
want:
● Variety
● Native food
● International
food
● To experiment
Connecting
“People who want to expand their cooking skills to professional or expert level
would be able to find the right set of customers who crave for authentic food and
trustworthy chefs”.
TAM, SAM, Target Customer
Customer Archetypes
Chef
● Age:18 -35
● Male or Female
● Regular Job During the day.
● Professional Interest / Baker
Customer 1:
● Age: 18-25 years
● Male of Female
● Young Adults Mainly students
Customer 2
● Age 27 - 35
● Male or Female
● Professional Young Adults
● Afford Premium Prices
Desired Features for the MVP
MVP:Website
https://foodxoticcca.wixsite.com/mysite
MVP Chef Feedback Scorecard
Home Chef Liked MVP Wanted more
features
Likelihood of use Total
CHC 4 5 3 12
CPA 3 5 3 11
PC 3 4 5 12
PC 4 5 5 14
CPA 4 4 4 16
CHC 2 0 2 4
CPA 4 5 3 12
CPA 5 5 5 15
Casual Home Chef(CHC), Chef with Professional Aspirations(CPA), Professional chefs(PC).
Scale: 1(lowest)- 5(Highest)
Chef Feedback
Number Gender Excited Urgent Need Impact
Likelihood of
Interest Total
1 M 2 1 2 3 8
2 F 3 2 3 3 11
3 F 4 3 3 4 14
4 F 3 2 2 3 10
5 F 4 2 3 3 12
6 M 2 1 2 2 7
7 M 3 1 2 2 8
8 F 2 1 2 3 8
9 F 4 2 2 5 13
10 M 4 2 3 4 13
11 M 4 1 2 4 11
12 F 2 2 2 2 8
13 F 4 2 3 3 12
14 M 4 2 3 3 12
15 M 4 3 2 4 13
16 F 3 2 2 2 9
17 M 2 2 2 2 8
18 M 4 1 3 5 13
19 M 3 2 2 3 10
20 M 4 2 1 2 9
21 M 5 1 3 4 13
AVERAGES: 3.333333333 1.761904762 2.333333333 3.142857143 10.57142857
Other issues
FDA regulations
Interest Inconclusive
Finalizing Target Customer
College Students: 15-25; ‘competitive rate to fast food’
Older: pay more; competitive rates
Conclusion
No-go currently
● College students won't pay enough
● Tweak MVP and Customer Demographic
Team : we’d need more people
● Paralegal
● Accountant
Thank You
Questions

HomeChef Application

  • 1.
    Chef Connect Application: InterviewsCompleted: 39 initial + 36 MVP Total: 75 FoodXotic Please your Palate MIS HORT MIS MIS MIS
  • 2.
  • 3.
    Our Initial Hypothesis Thetest: We believe that home chefs will use our app to acquire rare ingredients and connect to a customer base. We believe that customer will use our app to reach chefs who cook athinitic meals, and they will purchase items and foods that are hard to find or too expensive. What will it look like: Broker Home Chefs and Customers (us being the middleman); get native foods/ internationals who want food from home; specialty foods; delivery
  • 4.
    Customer Discovery Story Initialinterviews: 39 (22 chefs+ 17 customers) Who we talked to: ● Home chefs, bakers, inspiring chefs ● International students, non-international students, non students
  • 5.
    Chef Feedback What welearn: We were wrong! Surprise! ● Home chefs didn’t want to be professionals ● Aspiring chefs and Bakers were interested ● Chefs didn’t need ingredient middle man
  • 6.
    Customer Feedback What welearn: We were right and wrong Surprise! ● International didn’t need to buy home food ● Cook it themself; can go home ● Older folks can cook themself and not interested in trying new foods ● Interest in trying new foods ● Didn’t care for delivery
  • 7.
    Results... Pivot Changing our ValueProp and Customer Segment Too many businesses at once (mentor feedback)
  • 8.
    The Pivot Pivoted to: ● Professionally inclined chefs ● Financially stable young adults ● Focused only on connecting chefs and customers, no delivery or ingredients ● FDA Regulations ● Elimination of home kitchens
  • 9.
    Pivoted Business ValueCanvas Akanksha CHEFS: - Middle age and Young Adults (18-35) - Professionally inclined - Home chefs CUSTOMERS: - All nationalities - Both M and F - Age - 18 to 35 - Food lover - Open to experiment CHEFS: I believe professional or aspiring chefs who cannot afford to open their own establishment will use our service to build brand and reach customers CUSTOMERS: I believe customers who are looking to experiment with cuisine will use our service to find chefs. -Delivery Service? -Direct Supplier: Ingredients? 2) Indirect: Web-Site/Mobile App -Kitchen area and maintenance costs -Finance & Marketing team -Cooking Equipment -Food Licence costs -Rental Space -Advertisements
  • 10.
    Pivoted Value Propositioncanvas “People who want to expand their cooking skills to professional or expert level would be able to find the right set of customers who crave for authentic food and trustworthy chefs”. Chefs: Professional, home chefs, aspiring chefs Customers : All nationalities who are open to experiment and try new variety of food Youn g adults
  • 11.
    New Hypotheses Chefs : ●Ambitious ● Professionally inclined Customers who want: ● Variety ● Native food ● International food ● To experiment Connecting “People who want to expand their cooking skills to professional or expert level would be able to find the right set of customers who crave for authentic food and trustworthy chefs”.
  • 12.
  • 13.
    Customer Archetypes Chef ● Age:18-35 ● Male or Female ● Regular Job During the day. ● Professional Interest / Baker Customer 1: ● Age: 18-25 years ● Male of Female ● Young Adults Mainly students Customer 2 ● Age 27 - 35 ● Male or Female ● Professional Young Adults ● Afford Premium Prices
  • 14.
  • 15.
  • 16.
    MVP Chef FeedbackScorecard Home Chef Liked MVP Wanted more features Likelihood of use Total CHC 4 5 3 12 CPA 3 5 3 11 PC 3 4 5 12 PC 4 5 5 14 CPA 4 4 4 16 CHC 2 0 2 4 CPA 4 5 3 12 CPA 5 5 5 15 Casual Home Chef(CHC), Chef with Professional Aspirations(CPA), Professional chefs(PC). Scale: 1(lowest)- 5(Highest)
  • 17.
  • 18.
    Number Gender ExcitedUrgent Need Impact Likelihood of Interest Total 1 M 2 1 2 3 8 2 F 3 2 3 3 11 3 F 4 3 3 4 14 4 F 3 2 2 3 10 5 F 4 2 3 3 12 6 M 2 1 2 2 7 7 M 3 1 2 2 8 8 F 2 1 2 3 8 9 F 4 2 2 5 13 10 M 4 2 3 4 13 11 M 4 1 2 4 11 12 F 2 2 2 2 8 13 F 4 2 3 3 12 14 M 4 2 3 3 12 15 M 4 3 2 4 13 16 F 3 2 2 2 9 17 M 2 2 2 2 8 18 M 4 1 3 5 13 19 M 3 2 2 3 10 20 M 4 2 1 2 9 21 M 5 1 3 4 13 AVERAGES: 3.333333333 1.761904762 2.333333333 3.142857143 10.57142857
  • 20.
    Other issues FDA regulations InterestInconclusive Finalizing Target Customer College Students: 15-25; ‘competitive rate to fast food’ Older: pay more; competitive rates
  • 21.
    Conclusion No-go currently ● Collegestudents won't pay enough ● Tweak MVP and Customer Demographic Team : we’d need more people ● Paralegal ● Accountant
  • 22.
  • 23.

Editor's Notes

  • #3 Customer discovery story -- analytical stuf -- how we started, interviewed customer, what surprised us - talk about story - value proposition Intro --Initial - how we started as initial hypothesis- idea -customer response - how we pivoted - learn - surprised u the most - how does product market fit looks like to u BMV - rest of the segments - , pivoting now on what basis and how, market size segment, customer persona, product market fit, MVP Demo - why those features, what customer feedback, - actually put forth the customers Final decision - go or no go - do we have product market fit, what was the final decision by the team
  • #5 C
  • #6 C
  • #7 Celeste
  • #8 G
  • #9 G Whitney Interviews with the target segments showed that our expectations for our segments was a bit off International students, and others, were more interested in trying other foods when going out to eat Our demographic still stays within the young adult category though We also found that younger chefs were also more interested in the business Based on advice from the mentor, we have decided to change our customer demographic to focus more on the exotic foods aspect Additionally, for chefs they were interested in branding We also found that professional chefs were more interested in the business and seemed more genuine than students Generally, younger adults were more interested in trying new food. But we didn’t interview that many non-students, so it is hard to say if this is accurate. Will need to perform more interviews in the next round. Going forward, we will begin to adjust our canvas and value proposition given this new information and try to validate new hypothesis going forward
  • #10 G
  • #11 G
  • #12 v
  • #13 Vijay
  • #14 V
  • #15 A
  • #16 Akanksha
  • #17 A
  • #18 A
  • #19 W
  • #21 W
  • #22  W