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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