Computer user satisfaction: Difference between revisions

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Using findings, [[Product design|Product Designers]], [[Business analysis|Business Analysts]], and [[Software engineering|Software Engineers]] anticipate change, and prevent user loss by identifying missing features, shifts in requirements, general improvements, or corrections. ''[[end user|End User]] Computing Satisfaction'' is also [[Psychology|psychological]], in that the findings can sometimes represent objective views, rather than subjective truths. For example, previous success or failure impact next generation products. Organizations emphasize value in how products and opinions thereof manifest, preserving what is valued and caring how this is perceived.
 
This often creates a [[Positive feedback|positive feedback loop]] and creating a sense of agency for the user. These surveys assist to steer the system towards stable product sector positions. This is important, because the effects of satisfied or dissatisfied users could be difficult to change as time goes on. Real world examples are end-user loyalty in the premium [[mobile device]] segment, opinion and perception of dependable [[Automotive industry|automotive]] brands, or lower quality products originate from certain nationalities based on stereotypes. In such cases, the corrective action is not made on a product level, rather it is handled in another business process via [[Change management|Change Management]], which aims to educate, inform and promote the system with the users, swaying opinions which could not be other altered amending product.
 
The satisfaction measurements are often used in industry, [[manufacturing]], or other large organizations for obtain internal user satisfaction. This could be used to motivate internal changes to improve or correct existing business processes. This could be by discontinuing use of systems, or prompt adopting to more applicable solutions. It could also be based on employee satisfaction which is important to promote productive work environments.