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
K13.
Reliable and Direct Activity Infrastructure



Interactive applications that perform reliably and give knowledge workers a sense of uninterrupted, direct action have the potential to become “at hand” infrastructure in work activities. To prevent situations where individuals and organizations limit their adoption of unreliable computing tools — or jettison them entirely — product teams can envision early requirements for experienced performance.






Examples from three knowledge work domains:
(Illustrated above) An architect has used her new building modeling application for several months, and many of her typical actions in the product now feel like second nature. Since the application has been dependable, she feels comfortable estimating how long it will take her to accomplish specific efforts using the tool.

A financial trader is so used to his trading application working smoothly and without interruption that he becomes furious during those rare occasions when the tool unexpectedly displays a glitch. He is known for having thrown his phone through his screen in a fit of rage after a small but damaging technical problem.

A scientist likes that her new analysis application does not “freeze up” during large, computationally intensive analysis processes like other, similarly focused products that she has used in the past.
Stable and useful tools can become relied upon infrastructure in knowledge work. After an onscreen application has fulfilled its initial promises and users have begun to develop their own meaning and skills within its framework, sequences of call and response interaction can become highly rehearsed, routine, and even seemingly automatic (D7). Ideally, after workers have adopted an application into their practices, they can simply turn to the “at hand” product to accomplish their goals in a familiar and direct manner (D4, G1).

Product teams can envision high standards for reliability. They can also strive to cultivate a sense of on demand availability and tightly coupled action and reaction within their technologies. At a minimum, teams can identify critical performance areas within their application concepts and set appropriate goals for them. Going further, they can set performance goals for each of the central functionality concepts that they have sketched, benchmarking a desirable sense of flow for their tool’s core pathways.

When product teams do not actively consider how their applications could become reliable and direct fixtures in knowledge workers’ practices, resulting products may promote frustrating user experiences, even after extended usage. Applications that do not behave dependably may not engender trusted, first choice status, given the availability of other brands or alternate avenues of action (K12, E6). When confronted with inconsistent system behaviors, people may spend additional effort performing “defensive” procedures, such as versioning work (D2, D3, H1). Our human tendency toward sense making around unusual occurrences may cause users to “incorrectly” redefine their conceptual models of how a tool functions (C1). In the worst cases, these alternate conceptions can become “ghost stories” of what to avoid and why it is dangerous, potentially leading to rolling failures in adoption.

See also: A, C, D1, G, H, K, M




Application Envisioning questions:

How might the experienced reliability of your team’s computing tool instill a sense of confidence in targeted individuals and organizations that could lead them to adopt its options into the structure of their work? How might your functionality concepts provide a sense of direct, low latency action on the objects of workers’ goals?

More specific questions for product teams to consider:
What requirements do targeted individuals and organizations have for the stability of their computing environments? How far do they currently go to prevent reliability issues in their IT infrastructures?

How well do their current onscreen applications live up to these standards?

What can be learned from understanding reliability problems in similar products? What has prevented other computing tools from being successful in markets similar to the niches that your team is targeting?

What advanced analogies to high quality products might your team draw upon when thinking about the reliability of your offerings? How might these “gold standard” stories influence your ideas about baseline performance for your computing tool?

Which primary functional areas in your sketched application concepts are critical to envision as high performance interactions? How might these areas promote compelling experiences of direct availability and tightly coupled action?

Which of your sketched functionality concepts might not have such high performance requirements, based on frequency of use or other factors?

What risks might your product face if it does not eventually meet your team’s envisioned levels of performance in implemented reality?

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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Please attribute the work to “Jacob Burghardt / FLASHBULB INTERACTION Consultancy.”