The typical business response to the need to deliver more work is to hire more people and grow teams.  There are cynics out there that will dispute that statement and say business response is to drive employees harder.  That may be true in some cases, ultimate you have to hire.  While in many industries, larger teams are necessary to respond to growing needs and increasing demands, is it always true for information work?

We’re seeing a trend in analytics where teams decimated by the covid pandemic are not returning to their pre-pandemic size, but expected to deliver at the same or higher level.  How can an analytics team be successful at a smaller size?  How can analytics directors position their team to be high performers without running them into the ground?  Is it true that smaller teams can be more nimble and responsive to changing needs?

On this episode of the 33 Tangents Podcast, Jason and Jim discuss what it would take from an analytics team to be successful as a smaller team.  They talk about the common issues that plague analytics teams of all size but are amplified when the team is smaller making them critical to address.

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