Performance Frameworks

 
 

Data can be a powerful tool but who is it for? What even is data? Do people say they want ‘data’ when what they need is ‘information’? How do you measure success or value when a service isn’t transactional?

Experimenting with data visualisation, APIs and data sources has proven challenging but incredibly rewarding.

The research undertaken has included:

  • Data architecture

  • Labour Market information

  • Benefit journeys

  • Digital transformation

Data is a fantastic tool and just because there’s no obvious UI to play with doesn’t mean you don’t need full user research - the key area of focus has been working directly with digital performance analysts to build effective and scalable performance frameworks.

Performance frameworks are a critical tool for organizations of all sizes. They help to ensure that employees are performing at their best and that the organization is achieving its goals. However, performance frameworks can be difficult to design and implement effectively.

User research

User research is a critical first step in the design and implementation of performance frameworks. It helps to ensure that the framework is aligned with the needs of the users, which in this case are the employees. User research can be conducted through a variety of methods, such as interviews, surveys, and usability testing.

There are many benefits to conducting user research in the design and implementation of performance frameworks. These benefits include:

  • Increased accuracy: User research can help to ensure that the framework is accurate and reflects the real needs of the users.

  • Increased acceptance: User research can help to increase the acceptance of the framework by the users. When users feel that the framework is designed with their needs in mind, they are more likely to use it and to see it as valuable.

  • Improved performance: User research can help to improve the performance of the framework by identifying areas where it can be improved. For example, user research can identify areas where the framework is too complex or where it does not provide enough guidance.