User-reported
Describing information, data, or feedback that has been provided directly by individuals who are utilizing a system, product, service, or platform. It emphasizes the origin of the data, highlighting that it originates from the direct experiences and observations of the end-users, rather than from official sources, automated systems, or expert analysis. The information can cover a wide range of topics including bug reports, feature requests, performance issues, reviews, ratings, and opinions. Its value lies in capturing real-world insights and identifying areas for improvement from the perspective of the actual consumers.
User-reported meaning with examples
- The company relied heavily on user-reported feedback to improve their new software. Bugs, usability issues, and feature suggestions were documented through user interactions with the platform. Developers utilized this data to identify problems and implement solutions, thus refining the product based on actual user experiences.
- Customer service teams frequently analyze user-reported complaints to understand recurring problems with products. This feedback helps prioritize repairs and updates. Trends in reported problems prompt investigations and potential redesigns to increase customer satisfaction and product durability based on consistent input.
- Many online marketplaces utilize user-reported reviews and ratings. Sellers are evaluated based on direct customer experiences with their transactions, pricing, and shipping. High or low ratings, along with textual reviews influence potential buyers and the seller's reputation, incentivizing excellent service and products.
- Game developers frequently incorporate user-reported glitches and bugs. This approach allows the team to create a list of gamebreaking bugs, glitches and other issues users may experience. This feedback from players allows the development team to refine the gameplay experience to fix broken elements and improve player immersion.
- Social media platforms use user-reported content to identify and moderate inappropriate, offensive, or harmful posts. Alerts for violations such as hate speech, harassment, and misinformation are created by community members, resulting in content removal or account suspension based on platform guidelines.