Redesign Employee Application
10/15/2020 - 2/2/2020
In order to maintain confidentiality for this project, specific details have been removed and some content has been provided in general terms.
The product team who worked on the applications for the brick-and-mortar (B&M) locations where employees helped customers in-person with their financial needs asked for help from the user-experience (UX) team. The goal was to redesign an application used by all employees working in B&M locations througout the company to address several problems that had been identified with the current application. The team comprised myself as the UX Researcher, 3 UX Architects (XAs), and 2 Product Managers.
The product team explained many of the problems we were trying to solve by redesigning this employee application. Through research, we believed we would find a deeper understanding of the problems to consider.
Employees had difficulty finding information they needed to quickly service customers' accounts, causing:
Decreased customer satisfaction due to increased wait times.
Employees had to toggle between multiple applications to find information
Slow system performance, making it difficult to manage the number of data calls needed to display information quickly
Multiple products are serviced through this application and each has a template which includes similar tasks across product lines. Part of our redesign included creating a template that would work well across product lines.
The primary goals of the redesign were:
Decrease time employees needed to service accounts
Improve customer experience by reducing time taken to complete their transactions
Make it easier to find information
Reduce employee frustration and stress with current system
Decrease service bottlenecks
This project was in progress before I joined the team. The first request was for me to complete concept testing and then the team would choose between which design performed better. Through collaboration and explaining how we could use research to better inform the design of an application used enterprise-wide, I was able to help the team start with some initial research. I decided to complete a quick heuristic analysis of the 2 concepts.
After completing the analysis, I met with rest of the XAs to go over some questions. When going through the information architecture, it became clear that the team did not have enough information to decide where to place the different pieces of information. For this, we would need to understand how employees were using the application, which tasks they completed and which information they needed to access the most. We also needed to understand how they thought about their tasks. Basically, what made the most sense to them.
Explore users' overall thoughts about the primary pages used
Understand how users are currently using the application to complete primary and secondary tasks
Identify areas of ease and pain points within the current flow
Based on usage volume and employee feedback, redesign the information architecture
Build empany with users by understanding their work environment, tasks, applications used, etc.
Understand how users would redesign the application
Better understand common information types used across product lines
Participant Selection: Older Adults and Stakeholders
The following users and stakeholders were selected to participate in this study. Part of the purpose of the study was to determine who needed the most assistance. For example, is it older adults or is it the clinicians providing the care to older adults? In addition, the following were also chosen to participate, because a nursing home is a complex environment with many different parties working together. These key stakeholders from administration to medical providers to older adults's family and friends needed to be included, as well.
Older adults with and without cognitive impairments. Approximately 70% of nursing home residents have some level of cognitive impairment, which is why these potential users were included.
Family and friends of older adults. Family and friends were included, because they are involved in older adults' care. With a brand-new device like an assistive robot, they need to be comfortable and accepting of the technology.
Nursing home aides, administrators, and medical directors/physicians/nurses. The nursing home aides are the primary day-to-day caregivers, so their input is essential. Administrators and clinicians are also actively involved in older adults' care.
Legal representatives of cognitively impaired older adults. To include cognitively impaired older adults in this study, the study team would be required to receive the consent of older adults' legal representatives.
Participant Requirements & Screening Questions
With the assistance of the gerontologist I recruited for our team, I decided on the specific requirements for each type of participant. Since most nursing home residents are 60-years-old or older, this was one of the requirements for older adults. Another requirement was full-time residence, so the older adults would be very familiar with the nursing home environment and could identify areas where they needed assistance.
For clinicians and nursing home administrators, I decided to require at least 1 year of experience working at the specific nursing home in which we would conduct the study. This requirment was made to ensure these participants were deeply familiar with the processes, environment, and people in the nursing home.
To ensure study participants would meet the required criteria for the study, I developed screening questions for older adults and stakeholders.
Participant Recruitment Materials
For participant recruitment, I created 2 information sheets tailored to each audience. One was for residents, family and friends, and for legal representatives of cognitively impaired older adults. The second was for nursing home staff. The information sheets were written in plain language and were designed to anticipate common questions about the research study in particular and research studies in general. By addressing these questions in the information sheet, the goal was to increase participant comfort levels, with the intent to increase participation levels and enhance the overall experience.
Consent & Assent Forms
Using a variety of consent form templates, I created a set of consent forms that were tailored to this study. As cognitively impaired older adults were to be included, complex forms were required. Legal representatives must give consent for cognitively impaired older adults to participate, because they can not legally provide consent. In addition, cognitively impaired older adults need to provide assent, which can be provided orally or in written form.
I developed 5 different sets of interview questions. Most of the questions were semi-structured, because this was the first time the team would interview these particpants. This way we would get a better understanding of common, general issues, before focusing on specifics in later follow-up interviews. The sets of interview questions were divided and tailored for the following groups:
Family/friends of older adults
Medical Director/overseeing physician/Head of Nursing
Nursing home administrator
Nursing home aides
The goal of this research study was not only to assess needs. It was also to determine older adults' and stakeholders' feelings about using robotic technologies, which is critical to their acceptance and adoption of these technologies. Therefore, the team planned to use videos to show examples of current assistive robotic technologies and those that will potentially be available in the future. With 3 videos in total, 2 were for older adults and 1 was for stakeholders.
Fig. 1 - First video shows a mix of future and current robotic assistive technologies: serving a drink, communicating through teleprescence, and feeding a person.
Fig. 2 - Second video shows potential future assistive technologies: food preparation and complex cleaning tasks.
Fig. 3 - Third video shows a mix of future and current robotic assistive technologies: transporting laundry and alerting nursing home staff of resident emergencies.
Once participants finished watching the videos, we planned to conduct short interviews to assess feelings, thoughts, and attitudes toward the technologies. You can access the videos below.
Fig. 1 - Mix of Future & Current Assistive Robotic Technologies
Fig. 2 - Potential Future Assistive Robotic Technologies
Fig. 3 - Mix of Future & Current Assistive Robotic Technologies
When interviewing the older adults, I planned to temporarily conceal the purpose of the study until the interviews were completed. I made this decision, because I didn't want to prime our interviewees to provide the team with responses that they may have thought we were looking for. Often interviewees want to "please" their interviewer and be a "good" subject. We also considered that the concealment would most likely not cause any harm to our participants. With this in mind, we expected to receive better quality data with answers that were natural, open, and honest. At the end of the interviews, we planned to disclose the reason for the study, explain why it was temporarily concealed, and invite the interviewees to ask any questions they may have had. These steps are outlined in the debriefing script we prepared.
With the raw data collected through the contextual inquiry process, we planned to analyze the data qualitatively by coding the interview transcripts and creating an affinity diagram.
Qualitative: Code interview transcripts
Qualitative: Use affinity diagram to identify patterns & themes
Use Validated Data to Inform Robot Design
Following the data analysis, we planned to validate our findings using quantitative methods, including structured behavioral observations and surveys. With our data validated, we would use our findings to inform the design of our robot. The next steps would include ideating and sketching and creating personas, use case scenarios, and storyboards. Then we would follow with low-fidelity prototyping and usability testing, continuing to iterate. We would then continue to move forward, increasing prototype fidelity and then producing a Proof of Concept (POC).
Quantitative: Structured behavioral observations