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Testing Key Hypothesis With
Your MVP
Joe Kinsella
Entrepreneur | Technologist | Product Strategist
About Me
Web joekinsella.me
Email joe.kinsella@gmail.com
Phone (781) 315-6023
Twitter @joekinsella
My Story
Why (Most) Startup Fails?
Product Market
Fit
Types of Innovation
Breakthrough Innovation Sustaining Innovation
Disruptive Innovation
Research
Well
Defined
Not
Well
Defined
Problem
Not Well Defined Well Defined
Solution
Adapted from Harvard Business Review article by Greg Satell
Lean Process To Building Your Business
Build
Measure
Learn
Ideas
Code
Data
What Is A Minimum Viable Product?
• Minimal features that target
specific user / need
• Must deliver real value
• Used when non-product
options no longer available
• Often used to gain critical
validated learning
• Can be durable or disposable
Usability
Reliability
Scalability
Functionality
Configurability
MVP
Product
Types of Experiments
• Customer interviews
• Failed startup interviews
• Landing page / fake product
• Ask for commitment
• Commitment ask
• Concierge service
• Research
• Use competitor products
• Paper prototype
• MVP
• Lead / traffic generation
• Ad campaign
Example: Concierge Experiment
Identify critical hypothesis to test
Can you solve meaningful cost challenges for
businesses through repeatable process that
could be automated?
1
Design experiment to test
Deliver concierge cost management service to
5 small/medium tech businesses using the
public cloud at scale.
2
3 Run experiment
Worked closely with VPEs/CTOs to understand
their cost challenges and deliver actionable
recommendations. Wrote & used scripts in
background to collect & analyze data.
4 Assess results / validate assumptions
Service provided meaningful value to
participating companies. Proved ability to
automate collection, analysis & presentation of
recommendations.
Cansolvecloud
cost issuesvia
repeatable
process
Tips to Creating Experiments
• Keep it simple – Strive for least cost
experiment
• Focus on critical – There are always more
hypotheses to test than test
• Define with rigor – Define clear hypotheses &
criteria for validating / invalidating
• Eliminate your bias – Strive to eliminate
confirmation bias; you can be worst enemy
• Use advisors – Relying on advice / feedback
from external advisors can maximize results
Types of Pivots
• Zoom-in
• Zoom-out
• Customer segment
• Customer need
• Platform
• Business architecture
• Value capture
• Engine of growth
• Channel
• Technology
From The Lean Startup by Eric Ries
Telescoping versus Pivoting
Market
Strategy
Problem
Value
When To Build MVP
“If you’re not embarrassed
by the first version of your
product, you’ve launched
too late.”
–Reid Hoffman
Example Experimenting with MVP
Identify critical hypothesis to test
Mid-sized SaaS companies with rapid cloud
spend will spend $50K/year for software solution
to optimize cost.
1
Design experiment to test
Setup sales call with 2-5 target prospective
customers. Try to sell MVP for $50K/year. Upon
failure, gather clear list of missing features to
close deal.
2
3 Run experiment
Networked to two companies that fit profile.
Setup & executed sales calls. Took two calls to
get to decision.
4
Assess results
In this example, experiment failed in unexpected
positive ways – proof that all validated learning is
good.
Finding Your Early Customers
Has a problem
Is aware of problem
Actively looking for solution
Put together partial solution
Has or can acquire budget
1
2
3
4
5
From Four Steps to the Epiphany by Steven Blank
Earlyvangelist
Expanding Your MVP via Agile
Mistakes To Avoid
• Not talking to enough or right customers
• Allowing confirmation bias to alter results
• Building product too soon
• Not focusing on the M in the MVP
• Pivoting too early
• Pivoting too late
• Not managing cycle time
• Being overly secretive with ideas
Recommended Reading
Q&A
Appendix
Lean Process To Building Your MVP
Learn
Expanding Your MVP
• Define a lightweight agile process
to support continued iteration
• Key attributes of successful early
process
• Customer-driven
• Transparent
• Empowering
• Meritocracy
• Agility over predictability
Different Types of Products
Time
Performance
From The Innovator’s Dilemma by Clayton Christensen

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Testing Key Hypothesis With Your MVP

  • 1. Testing Key Hypothesis With Your MVP Joe Kinsella Entrepreneur | Technologist | Product Strategist
  • 2. About Me Web joekinsella.me Email joe.kinsella@gmail.com Phone (781) 315-6023 Twitter @joekinsella
  • 4. Why (Most) Startup Fails? Product Market Fit
  • 5. Types of Innovation Breakthrough Innovation Sustaining Innovation Disruptive Innovation Research Well Defined Not Well Defined Problem Not Well Defined Well Defined Solution Adapted from Harvard Business Review article by Greg Satell
  • 6. Lean Process To Building Your Business Build Measure Learn Ideas Code Data
  • 7. What Is A Minimum Viable Product? • Minimal features that target specific user / need • Must deliver real value • Used when non-product options no longer available • Often used to gain critical validated learning • Can be durable or disposable Usability Reliability Scalability Functionality Configurability MVP Product
  • 8. Types of Experiments • Customer interviews • Failed startup interviews • Landing page / fake product • Ask for commitment • Commitment ask • Concierge service • Research • Use competitor products • Paper prototype • MVP • Lead / traffic generation • Ad campaign
  • 9. Example: Concierge Experiment Identify critical hypothesis to test Can you solve meaningful cost challenges for businesses through repeatable process that could be automated? 1 Design experiment to test Deliver concierge cost management service to 5 small/medium tech businesses using the public cloud at scale. 2 3 Run experiment Worked closely with VPEs/CTOs to understand their cost challenges and deliver actionable recommendations. Wrote & used scripts in background to collect & analyze data. 4 Assess results / validate assumptions Service provided meaningful value to participating companies. Proved ability to automate collection, analysis & presentation of recommendations. Cansolvecloud cost issuesvia repeatable process
  • 10. Tips to Creating Experiments • Keep it simple – Strive for least cost experiment • Focus on critical – There are always more hypotheses to test than test • Define with rigor – Define clear hypotheses & criteria for validating / invalidating • Eliminate your bias – Strive to eliminate confirmation bias; you can be worst enemy • Use advisors – Relying on advice / feedback from external advisors can maximize results
  • 11. Types of Pivots • Zoom-in • Zoom-out • Customer segment • Customer need • Platform • Business architecture • Value capture • Engine of growth • Channel • Technology From The Lean Startup by Eric Ries
  • 13. When To Build MVP “If you’re not embarrassed by the first version of your product, you’ve launched too late.” –Reid Hoffman
  • 14. Example Experimenting with MVP Identify critical hypothesis to test Mid-sized SaaS companies with rapid cloud spend will spend $50K/year for software solution to optimize cost. 1 Design experiment to test Setup sales call with 2-5 target prospective customers. Try to sell MVP for $50K/year. Upon failure, gather clear list of missing features to close deal. 2 3 Run experiment Networked to two companies that fit profile. Setup & executed sales calls. Took two calls to get to decision. 4 Assess results In this example, experiment failed in unexpected positive ways – proof that all validated learning is good.
  • 15. Finding Your Early Customers Has a problem Is aware of problem Actively looking for solution Put together partial solution Has or can acquire budget 1 2 3 4 5 From Four Steps to the Epiphany by Steven Blank Earlyvangelist
  • 16. Expanding Your MVP via Agile
  • 17. Mistakes To Avoid • Not talking to enough or right customers • Allowing confirmation bias to alter results • Building product too soon • Not focusing on the M in the MVP • Pivoting too early • Pivoting too late • Not managing cycle time • Being overly secretive with ideas
  • 19. Q&A
  • 21. Lean Process To Building Your MVP Learn
  • 22. Expanding Your MVP • Define a lightweight agile process to support continued iteration • Key attributes of successful early process • Customer-driven • Transparent • Empowering • Meritocracy • Agility over predictability
  • 23. Different Types of Products Time Performance From The Innovator’s Dilemma by Clayton Christensen