1. NSLC 2010 Premal Shah President Kiva www.kiva.org Parth Shah National Director Kiva High School www.kivahighschool.org "Revolutionising how donors and lenders in the US are connecting with small entrepreneurs in developing countries”

4. Traditional Microfinance Lending Process

6. "Don't ask what the world needs, do what makes you come alive; because what the world needs most are people who have come alive." -- Howard Thurman Guiding personal principle

7. Sophomore slump 20 “ Alive-ness” Key milestones and how ‘alive’ I felt SEWA Research Project Management Consultant in New York Joined small start up: PayPal Personal discovery of Microfinance Leave for Kiva.org PayPal acquired by eBay Big company – “do I matter?” angst “ I got this idea” OMG it’s working! 33 Age

8. Kiva 101 Internet Lender Online marketplace Local Partner (MFI) Entrepreneur Money Information

12. How Kiva tries to make it “Easy” Designed for everyday people, not affluent experts “ I can see the person I’m lending to…” Low cost to entry Business relationship based on mutual dignity, not pity Quick and easy checkout

13. How Kiva tries to make it “Fun” Badging, Teams, fast changing UGC, stats... Loans are fully funded in hours Transactions happen every 18 seconds… Real time un-edited updates… Randomized “1 minute of fame “ + Lending Teams…

14. For some, Kiva is becoming very addictive!

15. Be ‘Radically Transparent’ Transparency  Authenticity  Trust

16. Kiva and Radical Transparency Paying for Kiva’s overhead is an explicit choice

17. Kiva and Radical Transparency Data inaccuracy and defaults are made explicit

18. “ Crowdsource” against constraints Big constraint? + No resources? = Crowdsource

19. Kiva and “Crowdsourcing” Kiva Fellows Program How do we train MFIs, gather progress updates and verify data accuracy hyper-fast?

20. Kiva and “Crowdsourcing” Kiva Translator Program How do we immediately translate entrepreneur profiles from native language to English?

21. Build in “Increasing Returns on Data” Leading public platform + Data integrity  “ Increasing Returns on Data”

22. Public reputation system for MFI Risk and Social Performance Social Rating Risk Rating Kiva Social Rating Kiva Risk Rating

23. Result: 30,245,763 loans found Kiva and “Increasing Returns on Data” World’s largest DB of microfinance investments Long Term : Entrepreneurs could use Kiva as a public credit bureau… Short Term : MFIs could use Kiva to build credit worthiness to other funders…

26. Kiva Fellow Video http://fellowsblog.kiva.org/2010/03/11/12745/

27. Thank you and questions