Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Building Great Products
Ben Yoskovitz!
@byosko!
byosko@gmail.com
#ProductHuntTO
More wins than losses
1996 1998 2001 2006 2007 2010 2011
1st startup
Big pivot
The “I got too comfy” years
Started bloggin...
http://leananalyticsbook.com
• San Francisco
• Omaha
• Barcelona
• London
• Amsterdam
• Memphis
• Vancouver
• Las Vegas
• ...
The fun way to buy and sell in a trusted local community
• Fast growing
• 40+ people
• Making a difference
• Hiring active...
So let’s talk about Product Hunt…
I was an early adopter (#20)
• Get to the point!
• FOMO!
• Ask specific questions
• Network early!
• Appeal to egos!
• Crea...
✓Found the right early adopters
!
✓Had a clear & narrow value proposition
!
✓Found a real need (solved a real problem)
!
✓...
Product Hunt = SF?
https://www.flickr.com/photos/hubertyu/14102205739/
How to use Product Hunt
• Product Hunt is not a launch strategy
!
• Don’t spam
!
• Don’t randomly ask people to submit for...
Dash Hudson Product Hunt Case Study
• ~1,000 visitors on day 1!
!
• ~2% conversion!
!
• “Bit of buzz, mostly inside
the ec...
https://www.flickr.com/photos/lisacee/5420415856/
A few thoughts on
building great
products
Do things in order
Lean Analytics Stages “Gates” needed to move forward
Empathy
Stickiness
Virality
Revenue
Scale
GrowthRa...
Do things in order
Lean Analytics Stages “Gates” needed to move forward
Empathy
Stickiness
Virality
Revenue
Scale
GrowthRa...
Do things in order
Lean Analytics Stages “Gates” needed to move forward
Empathy
Stickiness
Virality
Revenue
Scale
GrowthRa...
https://www.flickr.com/photos/infomastern/14519782386
Small cycles of behaviour
• A—>B—>C
• Reward & Delight users
• Addict...
Understand your best users
• Identify your “good” users
• What makes them special?
• Find more “good” users
https://www.flickr.com/photos/tiarescott/69821764/in/
Never stop talking to users
• Quantitative Data = What
• Qualitative ...
Be deliberate
• The “One feature away” lie
• Iterate and test, but don’t
panic
https://www.flickr.com/photos/pallotron/2206...
Resources
http://www.instigatorblog.com/tiny-addictive-new-behaviors/2013/07/02/
!
http://www.amazon.com/Hooked-Guide-Buil...
Thank you!
• Ben Yoskovitz
• @byosko
• byosko@gmail.com
• http://instigatorblog.com
• http://leananalyticsbook.com
Upcoming SlideShare
Loading in …5
×

Building Great Products #ProductHuntTO

2,859 views

Published on

Quick presentation at #ProductHuntTO about building great products and a bit on Product Hunt itself. Includes a bit about Lean Analytics, investing, product management and more.

Published in: Business

Building Great Products #ProductHuntTO

  1. 1. Building Great Products Ben Yoskovitz! @byosko! byosko@gmail.com #ProductHuntTO
  2. 2. More wins than losses 1996 1998 2001 2006 2007 2010 2011 1st startup Big pivot The “I got too comfy” years Started blogging Standout Jobs Failed Year One Labs GoInstant $0 2012 2014 Salesforce VarageSale
  3. 3. http://leananalyticsbook.com • San Francisco • Omaha • Barcelona • London • Amsterdam • Memphis • Vancouver • Las Vegas • and more...
  4. 4. The fun way to buy and sell in a trusted local community • Fast growing • 40+ people • Making a difference • Hiring actively http://varagesale.com/work_with_us
  5. 5. So let’s talk about Product Hunt…
  6. 6. I was an early adopter (#20) • Get to the point! • FOMO! • Ask specific questions • Network early! • Appeal to egos! • Create value for others
  7. 7. ✓Found the right early adopters ! ✓Had a clear & narrow value proposition ! ✓Found a real need (solved a real problem) ! ✓Built an MVP — but delivered on the value promised What did Product Hunt do well?
  8. 8. Product Hunt = SF? https://www.flickr.com/photos/hubertyu/14102205739/
  9. 9. How to use Product Hunt • Product Hunt is not a launch strategy ! • Don’t spam ! • Don’t randomly ask people to submit for you ! • Engage as a founder — get into the comments ! • There’s a long tail of votes (but don’t know if it drives value)
  10. 10. Dash Hudson Product Hunt Case Study • ~1,000 visitors on day 1! ! • ~2% conversion! ! • “Bit of buzz, mostly inside the echo chamber”
  11. 11. https://www.flickr.com/photos/lisacee/5420415856/ A few thoughts on building great products
  12. 12. Do things in order Lean Analytics Stages “Gates” needed to move forward Empathy Stickiness Virality Revenue Scale GrowthRate You’ve found a real, poorly-met need that a reachable market faces. You’ve figured out how to solve the problem in a way they will adopt, keep using and pay for. The users and features fuel growth organically and artificially. You’ve found a sustainable, scalable business with the right margins in a healthy ecosystem.
  13. 13. Do things in order Lean Analytics Stages “Gates” needed to move forward Empathy Stickiness Virality Revenue Scale GrowthRate You’ve found a real, poorly-met need that a reachable market faces. You’ve figured out how to solve the problem in a way they will adopt, keep using and pay for. The users and features fuel growth organically and artificially. You’ve found a sustainable, scalable business with the right margins in a healthy ecosystem. Most startups fail here
  14. 14. Do things in order Lean Analytics Stages “Gates” needed to move forward Empathy Stickiness Virality Revenue Scale GrowthRate You’ve found a real, poorly-met need that a reachable market faces. You’ve figured out how to solve the problem in a way they will adopt, keep using and pay for. The users and features fuel growth organically and artificially. You’ve found a sustainable, scalable business with the right margins in a healthy ecosystem. Most people don’t really do this
  15. 15. https://www.flickr.com/photos/infomastern/14519782386 Small cycles of behaviour • A—>B—>C • Reward & Delight users • Addictive
  16. 16. Understand your best users • Identify your “good” users • What makes them special? • Find more “good” users
  17. 17. https://www.flickr.com/photos/tiarescott/69821764/in/ Never stop talking to users • Quantitative Data = What • Qualitative Data = Why
  18. 18. Be deliberate • The “One feature away” lie • Iterate and test, but don’t panic https://www.flickr.com/photos/pallotron/2206080648/
  19. 19. Resources http://www.instigatorblog.com/tiny-addictive-new-behaviors/2013/07/02/ ! http://www.amazon.com/Hooked-Guide-Building-Habit-Forming-Products/dp/ 1494277530 ! http://www.instigatorblog.com/tiny-addictive-new-behaviors/2013/07/02/ ! http://www.instigatorblog.com/your-best-users/2014/06/20/ ! https://medium.com/@noah_weiss/50-articles-and-books-that-will-make-you-a-great- product-manager-aad5babee2f7 ! http://www.defmacro.org/2013/09/26/products.html ! https://blog.bufferapp.com/people-dont-buy-products-they-buy-better-versions-of- themselves
  20. 20. Thank you! • Ben Yoskovitz • @byosko • byosko@gmail.com • http://instigatorblog.com • http://leananalyticsbook.com

×