A Question of Averages

Chandra and Suraj are friendly rivals who lead software teams in Ed Simpson’s division. Chandra’s team works on the Container Controller® product (CC), while Suraj has Scheme Ranker® (SR).

Chandra dug up previous quarter’s bug fix data for CC and SR

He showed his table to Ed. “Clearly, CC team is doing better”, he said.

Team Resolved Not Resolved Total Efficiency
SR 750 250 1000 75%
CC 840 160 1000 84%

Suraj was not going to take this lying down. He analyzed the data in more detail, and came up with the following refined table.

Team Bug Type Resolved Not Resolved Total Efficiency
SR Escalation 490 10 500 98%
CC Escalations 810 90 900 90%
SR Testing 260 240 500 52%
CC Testing 30 70 100 30%

“Ed, If you take a closer look at the same data Chandra presented, SR is doing better than CC in both Escalation-related bugs and Testing-related bugs”,  Suraj pointed out, “it is misleading to merge the data together, as Chandra did”.

Ed wasn’t sure of what to make of these two opposing claims, so he suggested that each team look to improving their own performance rather than making comparisons with the other team.

But can you tell which team is in truth doing better at bug fixes, and why?

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