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Our representative users are taken from industry (Boingo, IBM), government (DOD), and academia (MIT). In general, users want an interface that is intuitive, interactive, and efficient. Users depend on data visualization to draw conclusions from complex data and make informed, time-sensitive decisions, so safety is an important usability aspect. Because users will are generally become very familiar experts with the software in and depend on it for their day-to-day work, we will may often choose efficiency over learnability whenever necessarywhen there is a tradeoff.
Industry: IBM is seeking an improved user interface for Analyst's Notebook, one that can compete with the more user-friendly Palantir software. Boingo needs to analyze data to build its new WiFi network in Africa, and needs a good way to visualize a combination of data sets across the continent. In general, it is important that analysts in industry can use data visualizations in reports to managers and higher-level executives.
Government: We will be collaborating with U.S. Army officers who use both Palantir and Analyst's Notebook for mission-critical decision making. One of the problems they face is the inefficiency of using these two different tools, as their supporting databases are incompatible. They wish to use the superior computational tools of Analyst's Notebook, but also have an interface that can more clearly and efficiently visualize data trends.
Our representative users are from a civil affairs unit, rather than combat. They will be primarily concerned with promoting development and preventing conflict in third-world countries. They are trained to use the software before deployment, so they will have time to become expert users. Officers also analyze data to plan their missions. For soldiers deployed overseas under stressful and life-threatening conditions, efficiency is key.
Academia: Data analysis is an important part of research in many fields. In particular, research about international development in Africa has clear ties to the above mentioned users in industry and government. Our representative user from MIT is a graduate student working on development in Africa, who will use the interface we design to help advise our industry and government users.
One important design consideration is that different users want to see different levels of granularity in the data. For example, an Army major would want to see more technical details while a colonel may be more concerned with qualitative trends; similarly with an engineer versus a top executive in industry. In academia, researchers may want to look at data on many levels to draw connections between data trends.
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With the back-end and database support provided by IBM, we will focus on designing effective ways to visualize data in a way that is understandable to users. Standard data visualization tools are available from open-source projects libraries such as processing.js. We will select a few visualization methods (e.g. web, map, graph) to focus on, geared toward understanding the data sets for WiFi in Africa. Some high-level tasks include:
- Creating visualizations: It should be easy for users to generate new visualizations, e.g. selecting best visualization for data set, selecting data sets for different axes, etc.
- Interacting with Manipulating visualizations: Analysts may want to interact with the visualization and manipulate the data to show what's most important, e.g. sliding timescale, zoom in/out, etc.
- Commenting: We will look for ways to allow them Annotation: Users often need to annotate data, making notes both for themselves and to share with others. They will need the ability to insert text comments, highlight parts of the visualization, etc. We will be in communication with the our representative users to pinpoint the features that will be most useful to them.
- Combining visualizations: Whether overlaying data sets or seeing different data sets next to each other, users may want analysts find it useful to see multiple visualizations at once. This is one advantage that Palantir currently has over Analyst's Notebook.