1. IDecideFast – Bidding Business Model
Expanding Bidding Online Automated Bidding Bulletin
Traffic drivers: Free model
Templates Increases comfort in Service for bidders Users
1. Bidding websites
e.g. Ibid determining bid and
2. Decision software Customer willingness to Personal Bidders in online
firms. Acquisition participate relationships with Auctions:
1. Traditional eBay Auction
3. Realtors domain experts 2. Best Offer eBay
(domain experts) Separate Premium 3. Three offers – eBay
4. Name your own price -
Models Priceline
Modelers/
Web
Algorithms Bidders access Bidders in Real Estate:
1. BiddingPal.Com 1. Best Offer Real Estate.
fellow bidders 2. Intermediaries e.g. 2. Haggling – Real Estate.
Software AppleStore
Developers Eyeball access for Advertising
Ad companies Companies
MKTing/Sales/Admin And Domain Experts And Domain Experts
Template fee
Software Development
People Ads for the free from more
Hosting/Infrastructure online auction sophisticated
bidding tool models e.g.
Sales/initial customer acquisition real estate

2. BiddingPal.com

3. Customer Relations This Week
1. Customer development interviews
a. Determine usability of BiddingPal
b. Get feedback for improvements
2. Domain expert interviews
a. Gain access to real estate data
b. Develop partnerships
c. Assistance in customer acquisition

4. Demand Creation
• Realtors
• Social Media
• Word of Mouth
• Blogs
• SEO
• Communities for bulletin boards
• GoogleAds

5. Demand Creation
• Customer education
– Through webpage
– Through promotional videos

6. Viral Coefficient
• >1 for online auction end-users
– Based on initial sample
– Still needs robust verification
• >1 for realtors
• Uncertain for real estate end-users
– Large variance across small sample size

7. Next Week
• More interviews with realtors, Association of
Realtors
• More end-user interviews and beta testing
• Educational material production and posting

8. Appendix

13. IDecideFast
Value Proposition
90% of decisions we face do not require
mathematical analysis. Just clear thinking. Social Networking
Many are faced by a large % of the population.
Fast Idea Generation
Categorized Post to the World/Friends
Collaborative Decision Making
e.g. My Decision is: which school should I go to?
Designed for the lay person not the
Please help me with:
decision analyst.
1. Alternatives What do I know?
Useful
2. Uncertainties What are my
Information What consequences
do I care about?
choices?
3. Trade-offs Creative
Alternatives
Clear
Values
Elements of
4. Frame A Good
Decision
Sound
5. Pros/Cons What is it that
I am deciding?
Helpful
Frame Reasoning
Am I thinking
straight about this?
Commitment
Categorized Decisions to
Follow Through
Relationships, Marriage, Entertainment, Will I really take action?
90% Clarity by 5% Clarity by
Dining, Car, Purchase, Vacations, chatting, simple model
School, Bidding, Retirement brainstorming,
venting
5% Detailed Solutions to Select Decisions (Templates)
(Based on Customer Feedback)
Instant Bidding, Which Job, Vacation, Refinancing, Retirement,
Messaging/posting Medical Decision

14. Exploration of Other Applications
-Health Care
Jeff Belcoura, PhD, UCSF
C. Trogden, Allergan
J. Daniels, MD, North Shore Hospital
L. Gratkins, MD, Private practice
-Other interviews
Carle Hospital

15. 1. Traffic 1. Expanding 1. Social 1. Online self-
generators service 1. Decision bulletin
templates/Categories networking
(keywords from 2. Customer Users
2. Collaborative
• Twitter acquisition beyond 2. Advertising
decision making
college students companies
• Ask.Com 3. Rapid feedback
3. Build/operate/ 3. Template Users
• Facebook maintain 4. Detailed
Updates) solutions for
select problems
2. (templates)
Professional/Student 1. Internet
1. Modelers
associations/LinkedIn
2. Software vendor
3. MKTing/Sales/
3. Template Domain
Operation/admin
Experts
personnel
1. Software development
2. People 1. Advertisement
3. Incentives (for initial customer acquisition) 2. Coupons
4. Hosting/infrastructure
5. Gathering data for templates 3. Template fees
6. Survey/questionnaire costs for templates