SlideShare une entreprise Scribd logo
1  sur  32
Télécharger pour lire hors ligne
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

Contenu connexe

Tendances

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...Kazunori Sakamoto
 
Agile Evolution with Kanban
Agile Evolution with KanbanAgile Evolution with Kanban
Agile Evolution with KanbanChris McDermott
 
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, 2009guest19a937
 
Evolutionary change with Kanban
Evolutionary change with KanbanEvolutionary change with Kanban
Evolutionary change with KanbanChris McDermott
 
Quality on Submit
Quality on SubmitQuality on Submit
Quality on SubmitAgileSparks
 
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 SoftwareManas Tungare
 
Multipoint Conferencing Unit Comparative Study
Multipoint Conferencing Unit Comparative StudyMultipoint Conferencing Unit Comparative Study
Multipoint Conferencing Unit Comparative StudyVideoguy
 

Tendances (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
 

Plus de Sheila Goodman

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 031211Sheila Goodman
 
Pascal Louis-Perez, Wealthfront
Pascal Louis-Perez, Wealthfront Pascal Louis-Perez, Wealthfront
Pascal Louis-Perez, Wealthfront Sheila Goodman
 
Parker Thompson, Pivotal Labs
Parker Thompson, Pivotal LabsParker Thompson, Pivotal Labs
Parker Thompson, Pivotal LabsSheila Goodman
 
Manuel Rosso, Food on the Table
Manuel Rosso, Food on the TableManuel Rosso, Food on the Table
Manuel Rosso, Food on the TableSheila Goodman
 
Ian McFarland, Pivotal Labs
Ian McFarland, Pivotal LabsIan McFarland, Pivotal Labs
Ian McFarland, Pivotal LabsSheila Goodman
 
Hiten Shah, KISSmetrics
Hiten Shah, KISSmetricsHiten Shah, KISSmetrics
Hiten Shah, KISSmetricsSheila Goodman
 
David Cancel, Performable
David Cancel, Performable David Cancel, Performable
David Cancel, Performable Sheila Goodman
 
David Binetti, Votizen
David Binetti, Votizen David Binetti, Votizen
David Binetti, Votizen Sheila Goodman
 
Brock Holzer, Snap Appointments
Brock Holzer, Snap AppointmentsBrock Holzer, Snap Appointments
Brock Holzer, Snap AppointmentsSheila Goodman
 
Andres Glusman, Meetup
Andres Glusman, Meetup Andres Glusman, Meetup
Andres Glusman, Meetup Sheila Goodman
 

Plus de 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
 

Dernier

Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
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 2024The Digital Insurer
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 

Dernier (20)

Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
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
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 

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