InformationWeek Podcast: Coping when internal metrics go off course
Aaron Harris, CTO at Sage, and Jerry Shu, CTO and co-founder of Daylit, share how they avoid letting questionable metrics derail optimization plans.
Sometimes, chasing optimized numbers leads to less-than-desirable IT results. What looked good on paper or on a screen may ignore the context behind the data. It is not uncommon for companies to misunderstand customer behavior, but how do CTOs handle internal metrics that lead to questionable IT decisions?
In this episode of the InformationWeek Podcast, Jerry Shu, CTO and co-founder of Daylit, and Aaron Harris, CTO at Sage, discuss how they approach IT optimization and what they watch for if something does not add up.
What happens when the faster development and deployment desired from IT optimization overlooks the context of where the metrics came from?
Harris and Shu explore which employees, beyond the IT team, should help develop internal metrics or vet optimization results. They also discuss changing course when an optimization plan fails to improve operations or causes disruptions.
Shu and Harris then take on the Questionable Ideas tabletop exercise, where they help the fictional company deal with resources that seemed to offer benefits while exposing the business to more trouble, thanks to the resident goblins, gremlins and kobolds.
How does your organization course-correct when internal metrics lead to less-than-desirable outcomes? Let us know at [email protected].





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