Learn to Grow Shorts: Splitting the Atomization
SureSkills Learn to Grow Podcast - En podcast af Simon Behan
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Atomization is the breaking down of jobs into projects and tasks, individual pieces that can be completed and tracked. This means organizations are looking to match talent to task so they can use the highest quality, lowest cost actor to complete the work. Why is atomization happening and why does it matter? 1. Agility amidst uncertainty – easier to scale up and down2. Efficiency within teams – A talent-to-task approach allows you to assemble dynamic teams with various abilities custom picked to deliver what is necessary on a given project3. Availability of talent – gig economy4. It makes things trackable – in a place where data is increasingly important5. It means organizations are looking for learning partners to help them fulfil tasks and stay agile in the midst of uncertainty. And that is something we have absolutely seen over the past few months. Many of our clients are giving us tasks they don’t want to do in house because it’s simply too expensive. As Kingsley Aikins likes to say “There are far more talented people outside your organization than inside it!” The highest quality actor to complete tasks might not be internal employees, but part of a vast network of “gig” workers. In addition to gig workers, trusted learning service partners (like, for example, SureSkills…) are increasingly relied on to deliver an extended workforce to larger organizations with a range of projects they need to outsource while maintaining the requisite level of quality output. We work with a household name organization maintaining their learning material. They have in-house content creators building dynamic learning content, but they don’t want those people spending their time responding to feedback and assessing the success of the courses they already have. So we have partnered with them and created a course maintenance framework, whereby we reactively respond to the concerns of students taking the course, and proactively make recommendations for improvements based on our vast experience building learning content. It’s a great example of the increased need for learning partnerships and the atomization of work!