K
Kathleen Martin
Guest
If your systems aren’t lean, efficient, and precise, you are likely wasting time and money while putting your business at unnecessary risk. If you’re going to be developing new systems, you need to do it right. So, how do we do this? Let’s review several of the most common mistakes when developing new systems.
Common Developing Mistakes
#1: Ignoring Human Nature
Most people don’t like change. Learning new systems interrupts the smooth flow of their day-to-day activities, even if those processes are wildly inefficient and time-consuming. If you want to make sure your system migration is going to stick, you need to set your team up for success! You can do so in the following ways:
Most organizations lack clear data. This is more likely if you rely on manual data entry and multiple disparate systems. When developing new systems, all these different data silos open the door for mistakes. Errors can skew the real view of your business and its needs. Plus, you might be looking at the wrong data points. As a result, you can’t adequately judge what’s working and what needs to be fixed.
The solution here is to decide which data points from the old system are useful and which ones are simply there because they came with your previous (non-custom) system. This can be challenging because people get used to these data points. You will need to point out why you need to shift your metrics and how that can give you a better overall view. Continue reading: https://www.iotforall.com/9-mistakes-when-developing-new-systems
Common Developing Mistakes
#1: Ignoring Human Nature
Most people don’t like change. Learning new systems interrupts the smooth flow of their day-to-day activities, even if those processes are wildly inefficient and time-consuming. If you want to make sure your system migration is going to stick, you need to set your team up for success! You can do so in the following ways:
- Empathize with your team: No matter how much better a system is, change is rough. Be prepared for frustration. Be respectful and remain patient.
- Focus on the positive: Emphasize why the change is happening and continue to highlight the wins your team will experience with the new system.
- Provide everyone with the tools needed to succeed: Give your team the necessary training and support they need to learn the new system.
Most organizations lack clear data. This is more likely if you rely on manual data entry and multiple disparate systems. When developing new systems, all these different data silos open the door for mistakes. Errors can skew the real view of your business and its needs. Plus, you might be looking at the wrong data points. As a result, you can’t adequately judge what’s working and what needs to be fixed.
The solution here is to decide which data points from the old system are useful and which ones are simply there because they came with your previous (non-custom) system. This can be challenging because people get used to these data points. You will need to point out why you need to shift your metrics and how that can give you a better overall view. Continue reading: https://www.iotforall.com/9-mistakes-when-developing-new-systems
