
User Experience Design & Testing
Often, User Experience Design is confused with User Interface design. While both have the key-word 'user', both mean entirely different aspects of design. User Experience Design is the creation of models, modules or aspect of a system that affect user experience. It is hard to quantify user experience since what one user may deem appealing may be unappealing to another (which is why two famous Social Networking portals are competing with each other for user preference). Instead, by following a certain level of benchmarks, you can structure your system or service to cater to all aspects of what a user may come across or 'experience' during usage. Once you understand these aspects, building your system is the next stop. LSI has a number of User Experience Design services that will assist you in building your software to make it of optimum convenience to the kind of users you expect to access your software. We have a number of techniques and methods to simulate real time scenarios, apart from the right tools and know-how.
The diagram below explains the three levels of User Experience design services that we offer. These are inter-related and required to achieve the best output in terms of design:
Structured | Interactive | Visual |
Information Architecture | System Output Definition | Theme Development |
Basic Layout | User Input Definition | Color Scheme Definition |
Navigation Concept | Concept Validation | Infrastructure and control design |
Iterative Refinement |
User Experience Testing
At times, in the process of testing out key areas of a system, certain aspects are ignored or missed out. The LSI team is aware of this problem and we ensure no module, link or functionality is left untested. We are aware of the way the average user navigates or operates a software, hence we implement our experience in ensuring that User Experience Testing is complete.
Problem Reviews | Usability |
Problem Identification | Test Planning |
Problem Prioritization | Usability Testing |
Redesign Recommendation | Data Analysis |
Prioritization of findings |