Why do parallel workstreams add complexity to sprint planning?
Parallel workstreams complicate sprint planning by requiring multiple teams or individuals to work simultaneously on various features or components. This dynamic introduces several challenges, particularly in business analysis. The complexity arises from interrelated factors: the need for effective coordination, management of dependencies, strategic resource allocation, inherent integration risks, and the potential for communication overload among stakeholders.
For example, parallel workstreams can increase testing complexity. Each workstream adds new elements that must be tested independently and in combination with others.
If one team develops a user authentication feature while another works on a payment processing module, both components need individual testing to ensure they function correctly. Once validated separately, the integration of these features must also be tested to confirm they work together without conflicts, ensuring user sessions remain secure and payment transactions process smoothly. This dual layer of testing can significantly extend the overall timeline and necessitate careful coordination among the teams involved.
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These are only some of the techniques that can be actioned to better handle parallel workstreams.The Scaled Agile Framework (SAFe) provides many interesting techniques and solutions to successfully navigate in these complex projects.
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