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PivotCamp #1
A start-up event focused on trying to make
         more successful startups
                in Montreal

      Fred Lalonde & Hugh McGuire
Confession:
 Book Oven was a disaster
 for hundreds of reasons,
but the most important one:
I didn’t know what matters.
Things that don’t matter

What technology you use               How much money you raised
Your “development methodology”        Having big wigs on your board of
Patents                               directors/advisors
Your business plan                    P&L & Pro forma budgets
Your marketing strategy               How many Twitter followers you have
“Viral Anchors”                       Traction on your blog
Usability                             Articles about you in the NYTimes
Graphic Design                        Presenting at SXSW
Branding                              User signups
Working 80 hours a week               Getting great response at
Flexible office hours                 Democamp
Free expresso & a foosball table      How many employees you have
An Employee Stock Option Plan         How much you pay them
Get Satisfaction/Uservoice            How many features you build
Surveys                               If you are funded or who funded you
Winning Start-up awards               Integrating Facebook Connect
Whether your friends like your idea   Adding features
Whether anybody likes your idea       Articles about you in TechCrunch
How robust your servers are           Financial projections
                                      Whether you like your idea
Things that do matter
    Product/Market Fit
         Traction
   Running out of money
A Better Way


Problem/Solution        Product/Market
                                             Scale
      Fit                     Fit


     Finding a plan that works.          Accelerating
                                          that plan.


    Build - Measure - Learn - Pivot      Expend capital.
                                             Grow.
                                           Optimize.
Stage 1: Problem/Solution Fit
Do I have a problem worth solving?


1. Solve a problem that a lot of people have.
2. Solve problem that is close to large amounts of money.
3. Find a better way to do something that a lot of people
  do.
4. Invent something new that a lot of people want.


  Document your “Plan A”.
Stage 2: Product/Market Fit
Have I built something people want?

•   The customer is willing to pay for the product.
•   The cost of acquiring the customer is less than what they
    pay for the product.
•   There’s sufficient evidence indicating the market is large
    enough to support the business.

* or *

40% of users saying they would be “very disappointed”
without your product.
The Goal: Minimum Value Product (MVP)
A product with the fewest number of features required to get
users to pay*.

*with some form of a scarce resource.
A validated what?
The Validated Learning Loop



   Build            Measure




            Learn
Building a validated learning loop

1. Formulate falsifiable hypotheses
2. Design a time-boxed experiment
3. Validate Qualitatively, Verify Quantitatively

BAD:
We want to become market leaders in mobile blah-blah-blah
for the blah-blah segment.

GOOD:
If we build a free iphone app that does blah, can we get 1
out of 10 people who download it to use it every day?
So what happens
when you realize
you messed up?
Pivot!

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PivotCamp preso

  • 1. PivotCamp #1 A start-up event focused on trying to make more successful startups in Montreal Fred Lalonde & Hugh McGuire
  • 2. Confession: Book Oven was a disaster for hundreds of reasons, but the most important one:
  • 3. I didn’t know what matters.
  • 4. Things that don’t matter What technology you use How much money you raised Your “development methodology” Having big wigs on your board of Patents directors/advisors Your business plan P&L & Pro forma budgets Your marketing strategy How many Twitter followers you have “Viral Anchors” Traction on your blog Usability Articles about you in the NYTimes Graphic Design Presenting at SXSW Branding User signups Working 80 hours a week Getting great response at Flexible office hours Democamp Free expresso & a foosball table How many employees you have An Employee Stock Option Plan How much you pay them Get Satisfaction/Uservoice How many features you build Surveys If you are funded or who funded you Winning Start-up awards Integrating Facebook Connect Whether your friends like your idea Adding features Whether anybody likes your idea Articles about you in TechCrunch How robust your servers are Financial projections Whether you like your idea
  • 5. Things that do matter Product/Market Fit Traction Running out of money
  • 6. A Better Way Problem/Solution Product/Market Scale Fit Fit Finding a plan that works. Accelerating that plan. Build - Measure - Learn - Pivot Expend capital. Grow. Optimize.
  • 7. Stage 1: Problem/Solution Fit Do I have a problem worth solving? 1. Solve a problem that a lot of people have. 2. Solve problem that is close to large amounts of money. 3. Find a better way to do something that a lot of people do. 4. Invent something new that a lot of people want. Document your “Plan A”.
  • 8. Stage 2: Product/Market Fit Have I built something people want? • The customer is willing to pay for the product. • The cost of acquiring the customer is less than what they pay for the product. • There’s sufficient evidence indicating the market is large enough to support the business. * or * 40% of users saying they would be “very disappointed” without your product.
  • 9. The Goal: Minimum Value Product (MVP) A product with the fewest number of features required to get users to pay*. *with some form of a scarce resource.
  • 11. The Validated Learning Loop Build Measure Learn
  • 12. Building a validated learning loop 1. Formulate falsifiable hypotheses 2. Design a time-boxed experiment 3. Validate Qualitatively, Verify Quantitatively BAD: We want to become market leaders in mobile blah-blah-blah for the blah-blah segment. GOOD: If we build a free iphone app that does blah, can we get 1 out of 10 people who download it to use it every day?
  • 13. So what happens when you realize you messed up?

Hinweis der Redaktion

  1. \n
  2. \n
  3. \n
  4. \n
  5. \n
  6. \n
  7. \n
  8. \n
  9. \n
  10. \n
  11. \n
  12. The goal here is clearly defining the conditions under which a hypothesis can be absolutely proved or disproved. Otherwise, you can easily fall into the trap of accumulating just enough evidence to convince yourself that your hypothesis is correct.\n\nReasonably smart people can rationalize anything and entrepreneurs are especially gifted at this.\n\nBefore Product/Market fit, you typically do not have enough traffic to afford waiting for statistically significant results. The good news is that if you are maximizing for learning and picking bold outcomes, that naturally works to your advantage. Your initial goal is getting a strong signal (positive or negative) which typically doesn’t require a large sample size. You might be able to do this with as few as 5 customer interviews1.\n
  13. \n
  14. In a pivot experiment, you attempt to validate parts of the business model hypotheses towards finding that plan that works. In an optimization experiment, you attempt to refine parts of the business model hypotheses towards accelerating a working plan. The goal of the first is a course correction (or a pivot). \n\nThis may sound like a subtle distinction but it has a significant impact on both strategy and tactical execution. Before Product/Market fit a startup needs to be architected for maximizing learning. In order to maximize learning, you have to pick bold outcomes versus chase incremental improvements. So, rather than changing the color of your call to action button, change the entire unique value proposition. Rather than experimenting with different prices, experiment with different pricing models.\n