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Playbook menu: The five-stage lifecycle

Delivery Playbook · Lifecycle

The five-stage lifecycle

Discover, Design, Build, Verify, Operate: how work flows from problem to production and back.

Every engagement follows the same five stages, scaled to its size. Stages can overlap, for example Build of the first release runs while Design continues for the next, but each has a clear goal and an exit gate agreed with the customer.

01DiscoverProblem and baseline02DesignArchitecture and scope03BuildReviewed increments04VerifyGates and acceptance05OperateRun and improveMeasure outcomes, learn, and feed the next increment◆ = exit gate
Each stage ends with an exit gate agreed with the customer. What we learn in Operate feeds the next round of Discover.
StageGoalLed byExit
01 DiscoverAgree the problem, the baseline and the desired outcome.Engagement Manager, Business AnalystCustomer sponsor agrees the problem statement, success measures and next step.
02 DesignDefine what will be built, how, and how it will be accepted.Solution Architect, Business Analyst, UX/UI DesignerArchitecture, scope for the first release and acceptance criteria approved by customer and Tech Lead.
03 BuildDeliver working software in small, reviewed increments.Tech Lead, Software Engineers, Delivery LeadEach story meets the definition of done; the increment is demonstrated to the customer.
04 VerifyProve the software works, is secure and can be released.QA Lead, Security Lead, Tech LeadRelease gates passed; customer sponsor approves the release.
05 OperateRun, measure and keep improving the software.DevOps, Support & Operations, Engagement ManagerOngoing: priorities and improvements reviewed monthly with the customer.

Who is involved in each stage

DiscoverDesignBuildVerifyOperate
Customer Sponsor••••••••••
Engagement Manager•••••••••
Delivery Lead••••••••••
Business Analyst•••••••••••
UX/UI Designer•••••••
Tech Lead / Architect••••••••••••
Software Engineers••••••••
QA / Test Automation•••••••••
DevOps / Platform••••••••
Security & Compliance••••••••••
AI / Data Engineer••••••••••
Support & Operations••••
Not involvedSupportsContributesLeads

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