IT Metrics

IT Metrics: Avoid These Dangerous Mistakes

Metrics are critical in measuring an organization’s success. However, if you do not know where to look, measuring your company’s livelihood is nearly impossible. With so many IT metrics to consider, it is easy to lose sight of the numbers that matter to your business’s growth. So, what should you avoid measuring? In this article at The Enterprisers Project, Jiani Zhang explains data measurement pitfalls and ways to avoid them.

Traps of Performance Measurement

Valuing Speed over Quality

An enterprise’s performance is entirely dependent on its outcomes. Do you want to increase revenues, grow your customer base, or maximize return on investment? Often, business leaders design metrics around speed rather than tracking the outcome progress. Never base your metrics on quantity-based factors like lines of code or velocity.

Micromanaging Teams with KPIs

As a business leader, you must always maintain a high-level view of your organization’s performance by measuring customer satisfaction and the services you offer. However, focusing on individual performance over team performance or the success of a single team instead of the enterprise as a whole can mislead you into setting the wrong KPIs. Therefore, stay focused on the ultimate objective and measure accordingly.

Targeting the Wrong Audience

It does not matter whether your initiative attracted a large number of people. If you are targeting the wrong audience, business success is unlikely. Therefore, you must research the audience and never assume you have captured the right group.

Chasing Data

Your data reveals that the customer satisfaction rating is 4.9 out of 5. Further, the data also indicates a 25% increase in sales and a 70% improved efficiency. As a leader, if you focus only on the numbers, you will end up chasing data rather than seeking real improvements. You must know where you are, where you want to be, and a plan to get there. Metrics and measurements help you determine if you are on the right path. If you focus too much on data, you will undoubtedly be misled.

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