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        Elements of Dashboard Design for IoT and Wearables

        Elements of Dashboard Design for IoT and Wearables

        Are you developing services on top of data from IoT and wearables?

        Do you want to make your users will use your dashboard?

        Do you want to make sure your users will be able to use your service and achieve the improvements they wish to make? 


        Creating dashboards and data UIs that create value from your sensor data

        With the explosion of IoT and wearable based services, these are not being used solely by engineers anymore. Design that solve problems for a wide range of non expert users is a necessity. 

        A care must be taken in the design of solution, thinking both about the system in which the dashboard will intervene, and how to accompany the user in using the service to its fullest.


        Content

        1. System thinking for dashboard design.

        What system does the service interact with?

        Where does the dashboard intervenes in the system?

        What are the balancing loops and self-reinforcing loops that are being impacted or created?

        Identifying time constants in the system: from device reporting frequencies to behaviour time constants.

        2. A dashboard that answer specific questions

        Identifying the usage context.

        Identifying the jobs to be done.

        Identifying need for context data to support the collected sensor data.

        Choosing appropriate frequencies to increase signal to noise ratio.

        Creating a hierarchy.

        3. User onboarding strategies

        Dealing with lack of data at the beginning.

        An opportunity to explain.

        Leveraging interactivity.


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