There is no ‘I’ in Team – but there is a huge ‘ME’ in team

I came across another lame article (no I will not dignify the piece of crap by linking to it, just take my word for it) that talked about there being no “I” in team. It made me cranky again (just after I’d recovered from the recent Samsung A701 mobile phone malfunctions too) as it avoided the whole point that teams consist of a number of individuals (a.k.a. me’s or ids).

The simple fact is that teams consisting merely of rampant ids in the form of individuals who do not have predetermined and agreed manners, forms and norms of behaviour are doomed to perpetual idiocy and indecision or rule by loudmouth. Further, it is management of organisations that sets and enables the particular form of team behaviour that is exhibited in each place.

From my experience, the best teams are those where decision making and rules of behaviour are agreed upfront with a view to ensuring that the best possible decision is made.

Well, I’m sick and tired of being in teams where the stupidest but loudest and best connected idiot in the room determines the direction that the group should take. I’m sick of decisions being made by the least qualified individuals in the building when there are others who actually have a clue in the particular problem domain.

My new year wish is for a world where people become self aware enough to admit they don’t know everything and defer to other individuals who actually have a clue about the issue under consideration.

Let’s see how my new year wish unfolds?

Author: Kate Carruthers

Kate Carruthers is Chief Data & Insights Officer for UNSW Sydney, and is also an Adjunct Senior Lecturer in the School of Computer Science & Engineering. She is certified in information security and is currently undertaking postgraduate studies terrorism and security. Kate has extensive experience in senior roles in ICT, marketing, data and digital; and is a member of the NSW Government’s Data Analytics Centre Advisory Board. Kate is currently working at the intersection of data analytics, AI, ML, privacy, cyber security, and data protection.