Application Envisioning idea
F4.

Computing tools can aggregate volumes of content that may be unprecedented within a knowledge work domain. Product teams can envision functionality concepts that could allow workers to visualize aggregated information at different levels
of granularity from valuable, goal oriented perspectives.

Examples from three knowledge work domains:
(Illustrated above) A scientist navigates through different views of clinical data in her analysis application, narrowing in on areas that show interesting trends. As she selects certain subsets of data, she changes the tool’s view to employ specialized visualizations
for detailed inspection of smaller result sets.
A financial trader uses his market information application to review recent movements in a range of market sectors. He selects a high volume sector where advances led declines, and the visualization zooms in on the selected area to display its
subsectors, along with their individual directionalities.
An architect is using her building modeling application to review a colleague’s project. She views the entire building, rendered as if it actually existed on its large site, then zooms into the front entry space, opting to view only construction notes over unrendered wireframes.
Many established genres of representation in knowledge work are essentially about an individual work item or something that workers think of as a distinct type of artifact (B1, F2). Along side these “ground level” views, some workers may be accustomed to using representations that usefully display content about a number of items simultaneously (I1, I5). Computer generated information representations can take this elevation of scope considerably further, presenting high level “views from the clouds” looking meaningfully down at different aggregations of “ground level” information.
Product teams can envision novel, interconnected series of representations at scaling levels of data concentration. These series may provide compelling support for existing task processes, or present new tools in support of individuals’ and organizations’ larger goals. Interactions with hierarchical levels of information representation can facilitate exploratory information seeking (A6, G5), promote new types of understanding, and facilitate new approaches to analytical thinking. Novel levels of information aggregation (F3) can be tailored to support relevant problem solving approaches (A) and to provide clear pathways to subsequent actions (C).
When product teams do not actively consider the potential role of multiple levels of content visualization in their application concepts, opportunities to provide innovative new sources of value can be lost (A9).
Conversely, in some domains, knowledge work revolves around entirely discrete items in clearly articulated processes (A4, C6). In these cases, individuals and organizations may not perceive higher level visualizations as being especially valuable additions to their efforts (D1, D4).
See also: C3, E2, F, G2, H, I, K2, K6, L

Application Envisioning questions:
How might the storage of large volumes of information in your team’s application concepts provide opportunities for innovative interactions and insights in targeted knowledge work?
What types of information representation could make sense at different levels of content aggregation? How might these scaling perspectives be usefully interlinked in support of
certain analytical goals?
More specific questions for product teams to consider:
Where might volumes of stored data overload the representations that people
currently use in the work practices that your team is striving to mediate?
Why might targeted individuals and organizations want to visualize information at different levels of aggregation? What problems could scaling levels of information representation solve?
How might new levels of information display meet unaddressed goals in targeted tasks or larger activities? What aspects of these new displays could offload effort
or enhance certain lines of analytical thought and explorative sense making?
Based on your team’s understanding of workers’ goals, their current usage of representations, and other factors, what analogous displays from other domains could
be applicable to your envisioned directions for scaling data visualizations?
What larger design and technology trends could influence your ideas about how
information in your application concepts could be valuably represented and
navigated at different levels of concentration?
What novel concepts might your team sketch for higher volume information representations that are tailored to targeted knowledge work goals?
How could workers usefully navigate through connections between different levels or represented information? What meaningful frameworks and interactive transitions might your team envision to clarify the relationships between representational strata?
How could your computing tool introduce and frame the value of new systems of interrelated displays? What instruction and initial scaffolding might be useful while individuals are learning to use these new representations?
How might your team’s ideas about supporting visualization at different levels relate to your other design responses for supporting work in the context of volumes of information?
What impact might the inclusion of new visualization approaches have on design strategy and brand? What could it mean, in a bigger picture sense, to “disruptively advance” knowledge work in your targeted markets?
Do you have enough information to usefully answer these and other envisioning questions? What additional research, problem space models, and design
concepting could valuably inform your team’s application envisioning efforts?
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