SlideShare a Scribd company logo
1 of 32
Download to read offline
How We Build Features
     USERcycle Case Study




          ASH MAURYA
              @ashmaurya
      http://www.ashmaurya.com
Some learning                        Most learning happens here




   Requirements   Development        QA          Release




                    Very little learning
Some learning                          Most learning happens here



                          Continuous
          Requirements                      Release
                          Deployment




                     Shorten cycle time
Continuous
      Requirements                Release
                     Deployment




Build a continuous feedback loop with customers
BACKLOG   IN-PROGRESS (3)   DONE
VALIDATED
BACKLOG   IN-PROGRESS (3)   DONE
                                   LEARNING
VALIDATED
BACKLOG                   IN-PROGRESS (3)                              DONE
                                                                                  LEARNING


                                             PARTIAL     VALIDATE        FULL       VERIFY
BACKLOG   MOCKUP   DEMO        CODE
                                            ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
VALIDATED
BACKLOG                   IN-PROGRESS (3)                              DONE
                                                                                  LEARNING


                                             PARTIAL     VALIDATE        FULL       VERIFY
BACKLOG   MOCKUP   DEMO        CODE
                                            ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY




          BEING WORKED
VALIDATED
BACKLOG                   IN-PROGRESS (3)                              DONE
                                                                                  LEARNING


                                             PARTIAL     VALIDATE        FULL       VERIFY
BACKLOG   MOCKUP   DEMO        CODE
                                            ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY




                          READY
VALIDATED
BACKLOG                   IN-PROGRESS (3)                              DONE
                                                                                  LEARNING


                                             PARTIAL     VALIDATE        FULL       VERIFY
BACKLOG   MOCKUP   DEMO        CODE
                                            ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY




                      CUSTOMER
                     VALIDATION
Goal: Achieve 60% Activation rate

        STATE
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (3)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY


      KEY METRIC
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY




                           UNDERSTAND
                             PROBLEM
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY




                               DEFINE
                              SOLUTION
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY




                             VALIDATE
                           QUALITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY




                        VERIFY
                     QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Goal: Achieve 60% Activation rate
                                                                                   VALIDATED
 BACKLOG                   IN-PROGRESS (1)                              DONE
                                                                                   LEARNING


                                              PARTIAL     VALIDATE        FULL       VERIFY
 BACKLOG   MOCKUP   DEMO        CODE
                                             ROLLOUT    QUALITATIVELY   ROLLOUT   QUANTITATIVELY
Go Only As Fast As You Can Learn

More Related Content

What's hot (7)

OCCF: A Framework for Developing Test Coverage Measurement Tools Supporting M...
OCCF: A Framework for Developing Test Coverage Measurement Tools Supporting M...OCCF: A Framework for Developing Test Coverage Measurement Tools Supporting M...
OCCF: A Framework for Developing Test Coverage Measurement Tools Supporting M...
 
Agile Evolution with Kanban
Agile Evolution with KanbanAgile Evolution with Kanban
Agile Evolution with Kanban
 
Christ Vriens@Agile Community Event - March 19th, 2009
Christ Vriens@Agile Community Event - March 19th, 2009Christ Vriens@Agile Community Event - March 19th, 2009
Christ Vriens@Agile Community Event - March 19th, 2009
 
Evolutionary change with Kanban
Evolutionary change with KanbanEvolutionary change with Kanban
Evolutionary change with Kanban
 
Quality on Submit
Quality on SubmitQuality on Submit
Quality on Submit
 
DejaVOO: A Regression Testing Tool for Java Software
DejaVOO: A Regression Testing Tool for Java SoftwareDejaVOO: A Regression Testing Tool for Java Software
DejaVOO: A Regression Testing Tool for Java Software
 
Multipoint Conferencing Unit Comparative Study
Multipoint Conferencing Unit Comparative StudyMultipoint Conferencing Unit Comparative Study
Multipoint Conferencing Unit Comparative Study
 

More from Sheila Goodman

More from Sheila Goodman (13)

Steve blank sxsw new rules for the new bubble 031211
Steve blank  sxsw new rules for the new bubble 031211Steve blank  sxsw new rules for the new bubble 031211
Steve blank sxsw new rules for the new bubble 031211
 
Sean Ellis, FREEjit
Sean Ellis, FREEjitSean Ellis, FREEjit
Sean Ellis, FREEjit
 
Pascal Louis-Perez, Wealthfront
Pascal Louis-Perez, Wealthfront Pascal Louis-Perez, Wealthfront
Pascal Louis-Perez, Wealthfront
 
Parker Thompson, Pivotal Labs
Parker Thompson, Pivotal LabsParker Thompson, Pivotal Labs
Parker Thompson, Pivotal Labs
 
Manuel Rosso, Food on the Table
Manuel Rosso, Food on the TableManuel Rosso, Food on the Table
Manuel Rosso, Food on the Table
 
Jeff Smith, Smule
Jeff Smith, SmuleJeff Smith, Smule
Jeff Smith, Smule
 
Ian McFarland, Pivotal Labs
Ian McFarland, Pivotal LabsIan McFarland, Pivotal Labs
Ian McFarland, Pivotal Labs
 
Hiten Shah, KISSmetrics
Hiten Shah, KISSmetricsHiten Shah, KISSmetrics
Hiten Shah, KISSmetrics
 
Farb Nivi, Grockit
Farb Nivi, GrockitFarb Nivi, Grockit
Farb Nivi, Grockit
 
David Cancel, Performable
David Cancel, Performable David Cancel, Performable
David Cancel, Performable
 
David Binetti, Votizen
David Binetti, Votizen David Binetti, Votizen
David Binetti, Votizen
 
Brock Holzer, Snap Appointments
Brock Holzer, Snap AppointmentsBrock Holzer, Snap Appointments
Brock Holzer, Snap Appointments
 
Andres Glusman, Meetup
Andres Glusman, Meetup Andres Glusman, Meetup
Andres Glusman, Meetup
 

Recently uploaded

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 

Ash Maurya, USERcycle

  • 1. How We Build Features USERcycle Case Study ASH MAURYA @ashmaurya http://www.ashmaurya.com
  • 2. Some learning Most learning happens here Requirements Development QA Release Very little learning
  • 3. Some learning Most learning happens here Continuous Requirements Release Deployment Shorten cycle time
  • 4. Continuous Requirements Release Deployment Build a continuous feedback loop with customers
  • 5. BACKLOG IN-PROGRESS (3) DONE
  • 6. VALIDATED BACKLOG IN-PROGRESS (3) DONE LEARNING
  • 7. VALIDATED BACKLOG IN-PROGRESS (3) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 8. VALIDATED BACKLOG IN-PROGRESS (3) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY BEING WORKED
  • 9. VALIDATED BACKLOG IN-PROGRESS (3) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY READY
  • 10. VALIDATED BACKLOG IN-PROGRESS (3) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY CUSTOMER VALIDATION
  • 11. Goal: Achieve 60% Activation rate STATE VALIDATED BACKLOG IN-PROGRESS (3) DONE LEARNING PARTIAL VALIDATE FULL VERIFY KEY METRIC BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 12. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 13. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY UNDERSTAND PROBLEM
  • 14. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 15. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 16. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 17. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY DEFINE SOLUTION
  • 18. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 19. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 20. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 21. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 22. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 23. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 24. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY VALIDATE QUALITATIVELY
  • 25. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 26. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 27. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 28. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 29. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY VERIFY QUANTITATIVELY
  • 30. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 31. Goal: Achieve 60% Activation rate VALIDATED BACKLOG IN-PROGRESS (1) DONE LEARNING PARTIAL VALIDATE FULL VERIFY BACKLOG MOCKUP DEMO CODE ROLLOUT QUALITATIVELY ROLLOUT QUANTITATIVELY
  • 32. Go Only As Fast As You Can Learn