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Kian Katanforoosh MS MS&E + CS
Jenna Nicholas
Duncan Turnbull
Berk Çoker
Katie Joseff
MBA2
MS Computer Science
MBA2
BS Hum...
11
7INTERVIEW
S
COMPLETE
TEAM:
Katie Joseff
Berk Coker
Duncan Turnbull
Jenna Nicholas
Kian Katanforoosh
SPONSOR:
Allison L...
Our journey
The Contact Inventory Node Map One-sided platform
Two-sided platform
Smart Matching
with decision tree
Chat-ba...
What is coordination?
MVP 1 : List of contacts
The Contact Inventory
General feedback: “Not user friendly”
First Hypothesis:
To coordinate, peop...
Observation and Feedback from Private Sector:
“Some isolated clusters!”
MVP Story
listings
two-sided
connecting people
VP Charity : “Can you match us automatically ?”
Second Hypothesis:
Companie...
Companies are lazy
MVP 3: the decision tree
Record Data Smart MatchingFilter and Search
“Have you heard of TechSoup ?”
How it works
“Have you...
Key Pivot
Private sector Refugees
The needs based on feedbacks
Trusted Information
Publicly Easily
Accessible
Mobile Orien...
Mission Model Canvas
Final MVP: chat-based intelligent virtual assistant
Facebook Messenger Telegram
“We want to work on that with you” (UHNCR)...
MVP
« I need clothes »
« You can find donated clothes it here »
« I don’t know… but I know
who to ask! I’ll be right back ...
Buy-in and Support
Syrian refugees arrive in Istanbul, Turkey
Partner with an established organization
Where do we
go? How...
Key Partners
UNHCR: “we would like to work with you on a chatbot”
Next steps
hand in hand
with UNHCR
Continue building
the technology
Give it to more refugees Stay LEAN
Team Exodus
“Thank you for your attention”
Exodus Lessons Learned H4Dip Stanford 2016
Exodus Lessons Learned H4Dip Stanford 2016
Exodus Lessons Learned H4Dip Stanford 2016
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agile, mission model, corporate innovation, customer development, h4d, h4dip, hacking for diplomacy, lean, lean launchpad, lean startup, stanford, steve blank, state department

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Exodus Lessons Learned H4Dip Stanford 2016

  1. Kian Katanforoosh MS MS&E + CS Jenna Nicholas Duncan Turnbull Berk Çoker Katie Joseff MBA2 MS Computer Science MBA2 BS Human Biology
  2. 11 7INTERVIEW S COMPLETE TEAM: Katie Joseff Berk Coker Duncan Turnbull Jenna Nicholas Kian Katanforoosh SPONSOR: Allison Listerman Bureau of Population, Refugees, Migration Original Problem: The current information sharing mechanisms fail to encompass the full breath of the humanitarian assistance on the ground and facilitate the entry of new individual and organizational actors. Current Problem: Refugees are not getting the information they need and they do not have a trusted source of information that is easily accessible.
  3. Our journey The Contact Inventory Node Map One-sided platform Two-sided platform Smart Matching with decision tree Chat-based intelligent virtual assistant How did it started ?
  4. What is coordination?
  5. MVP 1 : List of contacts The Contact Inventory General feedback: “Not user friendly” First Hypothesis: To coordinate, people need to be aware of other stakeholders on the Syrian Refugee Crisis Foreign Service Officers: “no link showing relations”
  6. Observation and Feedback from Private Sector: “Some isolated clusters!”
  7. MVP Story listings two-sided connecting people VP Charity : “Can you match us automatically ?” Second Hypothesis: Companies want to help but don’t know how to.
  8. Companies are lazy
  9. MVP 3: the decision tree Record Data Smart MatchingFilter and Search “Have you heard of TechSoup ?” How it works “Have you heard of Tent ?”
  10. Key Pivot Private sector Refugees The needs based on feedbacks Trusted Information Publicly Easily Accessible Mobile OrientedInformation SharingCrowd-Sourced Knowledge Database Chat-based Assistant Final Hypothesis: There is no centralized trusted information database accessible for refugees Organisations are failing at reaching massive numbers of refugees
  11. Mission Model Canvas
  12. Final MVP: chat-based intelligent virtual assistant Facebook Messenger Telegram “We want to work on that with you” (UHNCR) “That’s exactly what I need” (Refugee)
  13. MVP « I need clothes » « You can find donated clothes it here » « I don’t know… but I know who to ask! I’ll be right back » How the MVP works « Sure, here is a map of where refugee can find donated clothes » Chatbot gets smarter with each user Refugee Knowledge Base « You can find donated clothes it here »
  14. Buy-in and Support Syrian refugees arrive in Istanbul, Turkey Partner with an established organization Where do we go? How do we get food? Localized Facebook advertisement
  15. Key Partners UNHCR: “we would like to work with you on a chatbot”
  16. Next steps hand in hand with UNHCR Continue building the technology Give it to more refugees Stay LEAN
  17. Team Exodus “Thank you for your attention”

agile, mission model, corporate innovation, customer development, h4d, h4dip, hacking for diplomacy, lean, lean launchpad, lean startup, stanford, steve blank, state department

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