Sveinung Sande Dalatun
Senior consultant at Miles AS
Seniorkonsulent i Miles
Stavanger, Norway
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Sveinung works as a consultant for Miles. He has a broad background from systems development, team leadership, technology leadership and product development. Within Miles he heads the office responsible for developing Miles as a learning organisation. Happily married to a teacher. Has three kids. A source of endless inspiration and unbounded complexity.
Sveinung er seniorkonsulent i Miles og har ei faglig breid fortid med erfaring innan systemutvikling, teamledelse, teknologileiing, produktutvikling og fagleiing. I Miles leier han kontoret som har ansvar for å utvikle Miles som en lærende organisasjon. Lukkeleg gift med ein lærar. Har tre ungar.
Area of Expertise
Topics
Cognitive load is misunderstood
Is experiencing high cognitive load always bad? Does it make sense to talk about cognitive load on the team level? Are we better able to think about the big problems if we offload the small ones?
Cognitive Load Theory has become popular the last years, and its jargon is used everywhere. But with popularity comes misunderstandings. How can we move beyond the oversimplifications towards a vocabulary that is both more precise and more useful?
Working effectively with your working memory
Our ability to learn and work effectively with code depends on our ability to get concepts from the screen and into sensory memory, through working memory for processing, and then into long-term memory for storage. As the working memory is of quite limited capacity we must use it wisely, but there are strategies we can use to get more out of our limited brains.
Learning teams: In theory and in practice
Building products is all about problem solving, and problem solving and learning are closely related. Problem solving are often a requisite for learning, but if we skimp on the learning part we are doomed to solve the same problems again and again. This is true for both individuals and teams.
We spend much time learning new technologies and methods, but disapointingly little time learning how to learn. Human beings are not very good at assessing their own skill either, and to top it off: "more experience" does not entail "more skill". Sometimes you get more incompetent as time goes by. We should therefore spend a little less time caring about how artificial neural networks learn, and a little more time about how organic neural networks learn.
Kant said: "Experience without theory is blind". We need to answer questions like: What separates mastery from imagined expertise? What factors underlie effective learning? How do we make teams learn?
But Kant also said: "but theory without experience is mere intellectual play". We must ground the theory in our everyday affairs: How do we work with cognitive load? What common practices makes our brains bleed? How do technology affect our ability to learn?
Booster Conference 2026 Sessionize Event
Booster Conference 2025 Sessionize Event
#HelloStavanger 2024 Sessionize Event
JavaZone 2018
Talk: "Produktutvikling i en stor organisasjon" https://vimeo.com/291348430 (In Norwegian)
Booster 2018
Talk: "Product development in a large organization" https://vimeo.com/260490027 (In English)
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