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The Learn Startup Methodology

          Mijbel F. AlQattan
    Head of Business Development
           Cubical Services
What is a Startup?
• “A startup is a human institution designed to
  create a new product or service under conditions
  of extreme uncertainty.”
  – Eric Ries, The Lean Startup

• “A startup is not a smaller version of a large
  company. A startup is a temporary organization in
  search of a scalable, repeatable, profitable
  business model.”
  – Steve Blank, The Startup Owner’s Manual
The story of Airbnb
• Humble beginnings in a San Francisco
  apartment.
• Debut at SXSW.
• Pivot in the business model.
• The rest is history..
What is Lean Startup?
• Lean Startup is a working methodology
  developed by Eric Ries that defines a framework
  for operating a startup.

• The goal is to form a set of hypothesis around
  your main idea, construct a minimum viable
  product to test those assumptions, test and
  analyze the results, then iterate.

• The goal is NOT to get bogged down in defining
  all features of the product before launch.
Who is Eric Ries
• Former Silicon Valley entrepreneur who
  worked at IMVU 2004-2008.
• Originally posted his ideas on Lean Startup in
  an anonymous blog.
• After positive response, revealed his identity
  and wrote a book.
Build-Measure-Learn Loop
• Central to the Lean Startup Method is the Build-
  Measure-Learn feedback loop:




• You have IDEAS to test so you BUILD a PRODUCT that
  can MEASURE customer feedback, and use the DATA to
  learn the validity of the ideas, and develop new IDEAS..
Why Build-Measure-Learn
• Go through the Build-Measure-Learn loop as fast
  and as often as you can. Each iteration removes a
  layer of uncertainty from the business model.
• Make validated learning the aim of your startup.
  This can only be achieved with experiments.
• Focus on the value proposition you will be
  delivering to customers. It is NOT what the
  customers tell you they want verbally, but what
  the SHOW you they want behaviorally.
Ideas to BUILD a Product
• Critical assumptions to test are:
  – The value creation hypothesis: Is what you’re
    suggesting adding value to customers?
  – The growth hypothesis: Can you deliver what’s
    wanted at a price that’s profitable and
    sustainable?
• Start with a clear set of hypothesis to test.
• Build a minimum viable product to test these
  assumptions
The MVP
• The Minimum Viable Product is one that has
  enough features to test your assumptions and
  allow you to have validated learning.
• Depending on which iteration of Build-
  Measure-Learn we’re on, MVP can be as basic
  as google ads or a paper sketch up to multiple
  versions of a live product. There is no formula.
• When in doubt, simplify.
Product to MEASURE Data
• Innovation Accounting in three steps:
  – Use the MVP to establish real data on where the
    company currently is.
  – Attempt to shift the engine from baseline towards
    ideal.
  – Decide whether to pivot or persevere.

• Metrics used to measure must be actionable (can
  be done), accessible (can be understood), and
  auditable (can be believed).
Establish a baseline
• Single or multiple MVP products to establish
  baseline metrics for the company.
Tuning the Engine
• Every product development or business
  development initiative is done with the aim of
  improving the growth drivers.
• Examples:
  – Improving the design to make the product easier
    to use (metrics: activation rate, average time
    spent on site).
  – Changing the pricing points of a product (metrics:
    customer lifetime value, % of customers who are
    regular users).
Be Wary of Vanity Metrics
               Sep-10   Dec-10   Mar-11   Jun-11   Sep-11   Dec-11   Mar-12   Jun-12   Sep-12

Monthly user     550      608      680      739      800      845      901      955     1007

Daily users      293      327      372      417      457      483      526      552      584
Revenue
(millions)       467      731      731      895      954     1131     1058     1184     1262
Revenue per
user            $0.90    $1.26    $1.14   $1.26     $1.24    $1.38    $1.21   $1.28     $1.29
Monthly vs. Daily Users
1200



1000



 800



 600



 400



 200



   0




               Monthly user   Daily users
Total Revenue vs. Revenue Per User
14


12


10


 8


 6


 4


 2


 0




                Revenue (00's millions)   Revenue per user
Pivot or Persevere
• Simply put, if the changes implemented when
  testing the hypothesis and fine-tuning the
  engine don’t improve the metrics from
  baseline to desired, it is time to consider
  pivoting one or more aspects of the business
  model.
Data to LEARN Ideas
• “Every entrepreneur eventually faces an
  overriding challenge in developing a successful
  product: deciding when to pivot and when to
  persevere.” –Eric Ries.

• A pivot is a change in one of the key business
  model assumptions: Value proposition, customer
  relationships,                         customer
  segments, channels, revenue streams, key
  activities, key resources, key partners, or cost
  structure.
Some Pivot Types
• Zoom-in pivot: Where a single feature becomes the product.
• Zoom-out pivot: Vice-versa.
• Customer segment pivot: Building a solution for a different customer
  (e.g., moms).
• Customer need pivot: Solve other problems for the customer.
• Platform pivot: Change from platform to app or vice versa.
• Business architecture pivot: Low volume/high margin to high volume/low
  margin or vice versa.
• Value capture pivot: Change your revenue model or how you monetize
  your product.
• Engine of growth pivot: Change between paid, viral or sticky growth.
• Channel pivot: Deliver the product via a different distribution channel.
• Technology pivot: Change the technology to something that offers
  superior price or performance.
Pivot type examples
• What pivot was applied in each of these cases:
  – Facebook pivot 1 (hotornot to thefacebook)
  – Airbnb
  – Facebook pivot 2 (university students to everyone)
  – Instagram
  – Facebook pivot 3 (introduced advertisements)
Accelerate
• After many Build-Measure-Learn iterations on
  your product, you’ll reach a stage where you are
  ready to accelerate the growth.
• Scale in small batches to control cost of scaling.
• Determine your sustainable growth metric
  (paid, sticky or viral), and direct energy towards
  growing it.
• Build an adaptive organization and keep teams
  nimble and agile
Questions?
• You can reach me at:
  – Email: mijbel@cubicalservices.com
  – Twitter: @MijbelF

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The Learn Startup Methodology Explained

  • 1. The Learn Startup Methodology Mijbel F. AlQattan Head of Business Development Cubical Services
  • 2. What is a Startup? • “A startup is a human institution designed to create a new product or service under conditions of extreme uncertainty.” – Eric Ries, The Lean Startup • “A startup is not a smaller version of a large company. A startup is a temporary organization in search of a scalable, repeatable, profitable business model.” – Steve Blank, The Startup Owner’s Manual
  • 3. The story of Airbnb • Humble beginnings in a San Francisco apartment. • Debut at SXSW. • Pivot in the business model. • The rest is history..
  • 4. What is Lean Startup? • Lean Startup is a working methodology developed by Eric Ries that defines a framework for operating a startup. • The goal is to form a set of hypothesis around your main idea, construct a minimum viable product to test those assumptions, test and analyze the results, then iterate. • The goal is NOT to get bogged down in defining all features of the product before launch.
  • 5. Who is Eric Ries • Former Silicon Valley entrepreneur who worked at IMVU 2004-2008. • Originally posted his ideas on Lean Startup in an anonymous blog. • After positive response, revealed his identity and wrote a book.
  • 6. Build-Measure-Learn Loop • Central to the Lean Startup Method is the Build- Measure-Learn feedback loop: • You have IDEAS to test so you BUILD a PRODUCT that can MEASURE customer feedback, and use the DATA to learn the validity of the ideas, and develop new IDEAS..
  • 7. Why Build-Measure-Learn • Go through the Build-Measure-Learn loop as fast and as often as you can. Each iteration removes a layer of uncertainty from the business model. • Make validated learning the aim of your startup. This can only be achieved with experiments. • Focus on the value proposition you will be delivering to customers. It is NOT what the customers tell you they want verbally, but what the SHOW you they want behaviorally.
  • 8. Ideas to BUILD a Product • Critical assumptions to test are: – The value creation hypothesis: Is what you’re suggesting adding value to customers? – The growth hypothesis: Can you deliver what’s wanted at a price that’s profitable and sustainable? • Start with a clear set of hypothesis to test. • Build a minimum viable product to test these assumptions
  • 9. The MVP • The Minimum Viable Product is one that has enough features to test your assumptions and allow you to have validated learning. • Depending on which iteration of Build- Measure-Learn we’re on, MVP can be as basic as google ads or a paper sketch up to multiple versions of a live product. There is no formula. • When in doubt, simplify.
  • 10. Product to MEASURE Data • Innovation Accounting in three steps: – Use the MVP to establish real data on where the company currently is. – Attempt to shift the engine from baseline towards ideal. – Decide whether to pivot or persevere. • Metrics used to measure must be actionable (can be done), accessible (can be understood), and auditable (can be believed).
  • 11. Establish a baseline • Single or multiple MVP products to establish baseline metrics for the company.
  • 12. Tuning the Engine • Every product development or business development initiative is done with the aim of improving the growth drivers. • Examples: – Improving the design to make the product easier to use (metrics: activation rate, average time spent on site). – Changing the pricing points of a product (metrics: customer lifetime value, % of customers who are regular users).
  • 13. Be Wary of Vanity Metrics Sep-10 Dec-10 Mar-11 Jun-11 Sep-11 Dec-11 Mar-12 Jun-12 Sep-12 Monthly user 550 608 680 739 800 845 901 955 1007 Daily users 293 327 372 417 457 483 526 552 584 Revenue (millions) 467 731 731 895 954 1131 1058 1184 1262 Revenue per user $0.90 $1.26 $1.14 $1.26 $1.24 $1.38 $1.21 $1.28 $1.29
  • 14. Monthly vs. Daily Users 1200 1000 800 600 400 200 0 Monthly user Daily users
  • 15. Total Revenue vs. Revenue Per User 14 12 10 8 6 4 2 0 Revenue (00's millions) Revenue per user
  • 16. Pivot or Persevere • Simply put, if the changes implemented when testing the hypothesis and fine-tuning the engine don’t improve the metrics from baseline to desired, it is time to consider pivoting one or more aspects of the business model.
  • 17. Data to LEARN Ideas • “Every entrepreneur eventually faces an overriding challenge in developing a successful product: deciding when to pivot and when to persevere.” –Eric Ries. • A pivot is a change in one of the key business model assumptions: Value proposition, customer relationships, customer segments, channels, revenue streams, key activities, key resources, key partners, or cost structure.
  • 18. Some Pivot Types • Zoom-in pivot: Where a single feature becomes the product. • Zoom-out pivot: Vice-versa. • Customer segment pivot: Building a solution for a different customer (e.g., moms). • Customer need pivot: Solve other problems for the customer. • Platform pivot: Change from platform to app or vice versa. • Business architecture pivot: Low volume/high margin to high volume/low margin or vice versa. • Value capture pivot: Change your revenue model or how you monetize your product. • Engine of growth pivot: Change between paid, viral or sticky growth. • Channel pivot: Deliver the product via a different distribution channel. • Technology pivot: Change the technology to something that offers superior price or performance.
  • 19. Pivot type examples • What pivot was applied in each of these cases: – Facebook pivot 1 (hotornot to thefacebook) – Airbnb – Facebook pivot 2 (university students to everyone) – Instagram – Facebook pivot 3 (introduced advertisements)
  • 20. Accelerate • After many Build-Measure-Learn iterations on your product, you’ll reach a stage where you are ready to accelerate the growth. • Scale in small batches to control cost of scaling. • Determine your sustainable growth metric (paid, sticky or viral), and direct energy towards growing it. • Build an adaptive organization and keep teams nimble and agile
  • 21. Questions? • You can reach me at: – Email: mijbel@cubicalservices.com – Twitter: @MijbelF