Product delivery involves ensuring that a product or service is developed in a timely and cost-effective way, meeting the user needs.
| Skill level | Description |
|---|---|
| Awareness | You can: manage your contribution to tasks to fit in with the work of your wider team |
| Working | You can: show an awareness of the differences between delivery methods, such as Agile and waterfall, and can propose the most appropriate method to deliver each product manage your contribution to tasks to fit in with the work of your wider team |
| Practitioner | You can: understand the differences between delivery methods, such as Agile and waterfall, and can choose the most appropriate method to deliver each product define the minimum viable product (MVP) and support decisions about priorities work with specialists in multidisciplinary teams to smoothly deliver data science products into the organisation |
| Expert | You can: understand the differences between delivery methods, such as Agile and waterfall, and can set out how your team should use and adapt these methods lead a team through the different phases of the product delivery life cycle collaborate with the product manager to influence the direction of work identify and involve relevant teams to smoothly deliver data science products into the organisation, ensuring these products inform decision making ensure products are monitored, maintained and continually improved, engaging and working with others where necessary have oversight of any data science features implemented within products or services |