Inaugural online book | Application Concepting Series No. 1



100 Ideas for Envisioning Powerful, Engaging, and Productive User Experiences in Knowledge Work

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Application Envisioning idea
B6.
Flagged Variability within or between Objects



There are often aspects of interaction objects, outside of any explicit states, that are important to call to knowledge workers’ attentions in certain contexts. Product teams can envision how adaptive flagging of central variabilities could reduce the effort needed to examine key characteristics of individual objects.






Examples from three knowledge work domains:
(Illustrated above) A scientist notices that her lab’s information management application has flagged a sample as having different attributes than other the samples that are associated with the same clinical research participant. She reviews the flagged sample’s details and discovers that a technician has made a data entry error that she needs to investigate before proceeding.

A financial trader reviews a list of incoming deal proposals. He looks for items that his trading application has automatically flagged as being immediately executable, indicating that his firm has sufficient quantity of the holding in question to meet a proposed deal’s stated needs.

An architect switches to a view in her building modeling application that flags elements of the project’s 3D model where her team has not applied any project requirements tags.
When an abundance of interaction objects are displayed simultaneously, knowledge workers’ content rich computing displays may turn into dense, perceptually “flat” sheets of information (B1, I). While defined object states (B6) can determine available avenues of interaction (C4) and other important factors, secondary, strictly informational characterization of interaction objects can help workers attend to and make sense of important information (D3, D6, F10).

Visible and meaningful flags that indicate certain categorical conditions in an object’s attributes (A4) can be useful while workers organize (I1), retrieve (I2), browse (F5), and transform application content (F8) to meet particular goals. The categorical basis of a flag can come from specific information that workers’ have previously entered, or it can be a derived value that is automatically calculated based on domain appropriate rules (C8, E3, E4).

Certain flags may appear only in the context of certain interactions or object states (B8, B9). For example, they can be implemented as a method for preventing human error in defined processes (C9, G3), calling out values that could be important for effective decision making.

When product teams do not actively consider the potential role of flagged variabilities for key objects in their application concepts, knowledge workers may need to dive into the details of complex data structures in order to investigate their attributes. Due to constrained time and attention, people may not always perform these additional efforts (D2), potentially leading to crucial errors or important losses of insight that may negatively impact work outcomes (L1). In the absence of informative flags, filtering and sorting on specific object attributes (I3) may provide more active pathways to accomplish similar goals.

See also: A, B, D, F, G4, G6, H3, J1, L, M1




Application Envisioning questions:

Beyond defined states, what specific pieces of information about interaction objects might be especially interesting or useful to targeted knowledge workers during the course of their practices? How might your team informatively communicate these key variabilities through perceptually salient cues?

More specific questions for product teams to consider:
What characteristics and signs about artifacts do targeted individuals currently gravitate to in the tasks and larger activities that your team is striving to mediate?

Why are these characteristics and signs useful in certain work practices? What decisions and actions do they inform?

How might these existing attributes be translated into valuable flags for your team’s envisioned interaction objects?

What meaningful new flags might you envision to call out key object information within the interactive flows of your team’s sketched functionality concepts?

How could informative flags prevent human error in certain activity contexts? What specific information about an interaction object, if left unknown, might lead users to act in error?

What might the aesthetic presentation of “flags” look like in certain functionality concepts? How might these cues relate to any error management conventions your team has defined?

How could certain flags convey their priority, simply based on their level of salience on the screen?

How might your team’s ideas for specific flags inspire you to ideate valuable new interactions and representational forms?

What flagging categories and conventions might your team establish and consistently apply throughout your computing tool?

Could simplifying certain interaction objects make more sense than flagging important pieces of information within them?

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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All original contents of Working through Screens online book are subject to
the creative commons license (Attribution-NonCommercial- ShareAlike http://creativecommons.org/licenses/by-nc-sa/3.0/) unless otherwise noted.
Please attribute the work to “Jacob Burghardt / FLASHBULB INTERACTION Consultancy.”