exodus lessons learned h4dip stanford 2016

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PowerPoint Presentation

Kian KatanforooshMS MS&E + CS

Jenna Nicholas

Duncan TurnbullBerk oker

Katie JoseffMBA2MS Computer ScienceMBA2BS Human Biology

117INTERVIEWSCOMPLETEDTEAM:Katie JoseffBerk CokerDuncan TurnbullJenna NicholasKian KatanforooshSPONSOR:Allison ListermanBureau of Population, Refugees, MigrationOriginal Problem: The currentinformation sharing mechanisms fail to encompass the full breath of the humanitarian assistance on the ground and facilitate the entryof 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.

Our journey

The Contact Inventory

Node MapOne-sided platform

Two-sided platform

Smart Matchingwith decision tree

Chat-based intelligentvirtual assistant

How did it started ?

What is coordination?

Coordination = Cooperative effort resulting in an effective relationship

MVP 1 : List of contacts

The Contact InventoryGeneral feedback: Not user friendlyFirst Hypothesis:

To coordinate, people need to be aware of other stakeholders on the Syrian Refugee CrisisForeign Service Officers: no link showing relations

Observation and Feedback from Private Sector:Some isolated clusters!

This was an MVP but it made us understand that there is not coordination between some clusters

Auteur (A) - - Tool - end in itself but actually a means to a broader insight- Slide bridging First 2 ideas - Pivot to private companies - to connect dots

MVP Story

listingstwo-sidedconnecting peopleVP Charity : Can you match us automatically ?Second Hypothesis: Companies want to help but dont know how to.

Companies are lazy

MVP 3: the decision tree

Record Data

Smart Matching

Filter and SearchHave you heard of TechSoup ?How it works

Have you heard of Tent ?

Key Pivot

Private sectorRefugees

The needs based on feedbacks

Trusted Information

Publicly Easily Accessible

Mobile Oriented

Information Sharing

Crowd-SourcedKnowledge DatabaseChat-basedAssistantFinal Hypothesis:There is no centralized trusted information database accessible for refugeesOrganisations are failing at reaching massive numbers of refugees

Mission Model Canvas

Final MVP: chat-based intelligent virtual assistant

Facebook MessengerTelegram

We want to work on that with you (UHNCR)Thats exactly what I need (Refugee)

MVP

I need clothes

You can find donated clothes it here

I dont know but I know who to ask!Ill be right back How the MVP works

Sure, here is a map of where refugee can find donated clothesChatbot gets smarter with each user

Refugee

Knowledge Base

You can find donated clothes it here

Buy-in and Support

Syrian refugees arrive in Istanbul, TurkeyPartner with an established organization

Where do we go? How do we get food?

Localized Facebook advertisement

Key Partners

UNHCR: we would like to work with you on a chatbot

Next steps

hand in hand with UNHCRContinue building the technology

Give it to more refugees

Stay LEAN

Team ExodusThank you for your attention