[Webinar] Introducing Feature Management
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The webinar discusses the evolution of product development towards a more iterative and experimental approach, emphasizing the use of feature management techniques such as feature flags and A/B testing. It highlights the importance of monitoring performance and safety during feature rollouts to enhance customer experience and achieve business impact. The session also encourages leveraging data and analytics for continuous improvement in product development.
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[Webinar] Introducing Feature Management
- 1. Feature Management in Optimizely Full Stack Jamie Connolly Product Manager Robin Pam Sr. Product Marketing Manager
- 2. Agenda 1. How Product Development Has Changed 2. Intro to Feature Management 3. Demo Photo by Laurent Perren
- 3. Robin Pam Sr. Product Marketing Manager Optimizely Product Manager Optimizely Jamie Connolly
- 4. • We are recording today’s presentation • Slides will be available after the webinar is complete • Please submit questions via the text box Housekeeping
- 5. The way we release software has changed
- 7. The Old Way DESIGN BUILD LAUNCH * PRAY * Infrequently, only when done, with no real-time customer feedback
- 9. The New Way DESIGN BUILD EXPERIMENT ITERATE
- 10. Best-in-class companies: Release all the time Measure everything Iterate rapidly
- 11. Feature Flags A/B Tests Multivariate TestsStaged Rollouts How do they do it? Release frequently in smaller pieces to accelerate time to market
- 12. How do they do it? Feature Flags A/B Tests Multivariate TestsStaged Rollouts Quantify impact on key business metrics
- 13. How do they do it? Feature Flags A/B Tests Multivariate TestsStaged Rollouts Monitor for safety prior to launching for everyone
- 14. How do they do it? Determine the optimal configuration to drive ROI Feature Flags A/B Tests Multivariate TestsStaged Rollouts
- 15. Feature Flags Robust Statistical Analysis A/B Tests Multivariate Tests Easy remote configuration Analytics & data pipeline Integrated with critical systems Enterprise readiness Accessible to every team Robust data infrastructure Remove guesswork from launch decisions Content management Release process Staged Rollouts How do they do it? Real-time event pipeline Program Management Support for many languages Security Zero latencyHigh availability Monitoring Compliance Targeting capabilities Documentation and support Ongoing maintenance Segmentation and reporting Typical digital leader experimentation stack
- 16. Feature Management Launch silently, roll out gradually, and iterate with experimentation
- 17. Make every feature release an opportunity to learn Separate code deployment from feature enablement to drive rapid iteration on digital products
- 18. Feature Flagging Create Features in Optimizely to enable feature release and experimentation without a code deploy VS
- 19. Feature Rollouts Gradually roll out a feature to monitor impact on performance and business metrics.
- 20. Feature Configuration Instrument features with variables or parameters that can be configured remotely.
- 21. Feature Tests Run experiments on variables to iterate to the best version of your feature.
- 22. Demo
- 23. DESIGN BUILD EXPERIMENT ITERATE
- 24. Experiment-driven product development lifecycle Discover Design Build Experiment Roll Out Iterate Develop and deploy your Feature behind a Feature Flag How can you improve your customer experience? Run a Feature Test to prove business impact Find a winner, then run a Feature Rollout to launch safely Leverage your Feature Configuration to continuously improve Record an idea and plan development in JIRA or Program Management
- 25. Discover
- 30. Design
- 32. Build
- 33. opticon2017
- 35. Experiment
- 40. Roll Out
- 43. Iterate
- 45. Start with an on/off test to limit blast radius
- 46. Feature flags to limit blast radius “Painted door” experiments to validate customer demand Feature tests to prove business impact Staged rollouts to monitor quality and performance Growth experiments and CRO to improve usage, adoption, and conversion rate Experiment-driven product development lifecycle User studies and rapid prototyping to validate feature design Discover Design Build Experiment Roll Out Iterate
- 47. Experiment-driven product development lifecycle Discover Design Build Experiment Roll Out Iterate
- 48. Test and Learn at Every Step of Product Development Avoid investing in building features that won’t meet goals Minimize risk when releasing new features Optimize for growth and maximize performance Discover Design Build Experiment Roll Out Iterate
- 49. Learn More Download our ebook to learn more about using feature flags for product experimentation. www.optimizely.com/resources Contact your account team today to get access to Full Stack and Feature Management.
- 50. Q&A