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Elevating agile
- 1. HELPING PEOPLE CREATE GREAT PRODUCTS Elevating your Agile Process Todd Olson www.pendo.io
- 2. First, a little about me ● CEO & Co-Founder, Pendo Prior ● VP Products, Rally Software ● CTO / Co-Founder, 6th Sense Analytics ● Chief Scientist, Borland ● VP Development, TogetherSoft ● CTO / Co-Founder Cerebellum Software Tweet @tolson
- 4. TEAM AGILE = FALSE SUMMIT
- 7. Different Levels of Abstraction
- 8. Feature 1 Feature 2 Feature 3 Feature 4 Story A Story B Story C Story D Story E Story F Story G Story H Story I Story J Initiative Something a customer cares about. Something you budget for.
- 9. Feature 1 Feature 2 Feature 3 Feature 4 Story A Story B Story C Story D Story E Story F Story G Story H Story I Story J Initiative Prioritize Within... must-have should-have could-have
- 11. Broader Value Streams Input Analysis Ready Develop Internal-only External Exit Criteria Preliminary Estimate Stories broken down Must-have stories UI Mock-ups Should-have stories Tech Design Code complete Automated Tests passing Manual testing Documentation complete Marketing Blog Email marketing done Website updated Customers identified Business case Metrics collecting FEATURE Marketing Support Sales Support Product UX Architecture Engineering Marketing Ops
- 12. Even Broader Value Streams Business Case Analysis Fund Development Collect Evidence Exit Criteria Feature Break-down Other dependencies High-level estimates Resources allocated Code complete Major feature shipped ROI Top Customers to use Usage Metrics Business Case check-in INITIATIVE
- 13. What does the Board care about?
- 14. &
- 15. How much.. Is a feature worth?
- 16. User/Business Value + Time Value + Risk Reduction / Opportunity Enablement Cost What does this make easier? What sort of leverage can we get? How timely is this? What’s the cost of missing? How much do our users/customers value this? Track a Business Value Point
- 18. Forecasting Dates in an Agile Way 1 Calculate Throughput across period (week, month, etc) 2 Use throughput to compute how many items on force-ranked backlog you can complete in the chosen period.
- 19. Example: Forecasting Dates XS S M L 2 Point Conversion 4 8 16 Quarterly Throughput Q1: 40 feature points Q2: 38 feature points Q3: 42 feature points FEATURE SIZES Q3 Q4 Large Feature 1 Small Feature 1 Small Feature 2 Remember that there is prioritized variable scope within each Feature!!! Large Feature 2
- 20. Options: Forecasting Dates Loads of options based on process... Artifact: Feature or Story # of items or Sum of Estimates Story Point Estimates or T-Shirt Sizes
- 22. Are our T-shirt sizes good? XS S M L 2 Point Conversion Actual Cycle Times 1d 4 3d 8 5d 16 20d 2x 4x
- 23. Business Value Feedback Forecast Our biggest customers really need this. This is going to kill the competition. This is going to save use millions of $$. Every user is craving this. Actuals Yet only 2 customers start using it after the release. The competition copied us in a month. Cost of training and change negated the savings. 5% of users tried out.
- 24. Measure everything ● Usage ○ By customer ○ By user ● Revenue ○ Sales cycle ○ Win-loss ● Cost-savings ● Customer Satisfaction ● Developer Satisfaction ● Support Tickets ● Forum posts ● Help searches
- 25. Continue your Agile Journey...
- 26. Start small… Start with Features
- 27. Don’t stop at transforming your team.
- 29. HELPING PEOPLE CREATE GREAT PRODUCTS Questions? www.pendo.io