Process Overview
After reviewing over a dozen sources, including blog articles, government reports, and scholarly articles, the lack of social connection and engagement among students during virtual collaboration were identified as major themes in our research. Dominant pain points include:
Fatigue
Lack of social
connection
Decrease in
productivity
"Students have difficulty fostering interpersonal connections through platforms for virtual collaboration."
Based on our background research, we narrowed down our problem space to focus on the lack of social connection during virtual collaboration because we theorized that this may be connected to the pain points we identified.
Project Goal
Having established our problem statement, we were able to articulate what our project objective was to: examine the correlation between interpersonal connection and productivity during virtual collaboration.
Productivity
Interpersonal
Connection
Virtual
Collaboration
Research Questions
To achieve our project goal, we created two overarching research questions:
How do virtual collaboration platforms affect patterns of students’ interpersonal communication?
X Variable (unknown)
Y Variable (known)
How does the lack of interpersonal connection in online collaborative platforms affect students’ productivity?
X Variable (unknown)
Y Variable (known)
Hypothesis
Informed by our secondary research, we created two hypotheses that correspond to our research questions above:
If there are more face-to-face interactions and facilitation from instructors during online collaboration, then students will have higher levels of engagement because it will enable them to feel more connected to their colleagues.
If online collaboration platforms create an impersonal environment, then productivity will decline during these sessions because there will be less engagement.
Diary Study
We decided to conduct a diary study because it would enable us to collect highly contextual behavioural data on students' virtual collaboration experiences. Qualitative and quantitative data was gathered by asking about the platforms accessed, group size, students' productivity and engagement rates, struggles, successes, and general experiences.
12 questions filled out once daily
Responses submitted using Google Forms
We created another affinity map with the results from the study and began to cluster like ideas. We established five main themes which are similar to those identified in our interviews, however the patterns differ:
Technical Difficulties
The use of software prone to freezing or slowing down one’s computer (i.e Slack, MS Teams)
Productivity
Each team member should work independently before gathering with their team to optimize productivity
Collaboration Tools
There was a preference for accessible collaboration tools and software enabling file organization
Group Size
Participants preferred smaller groups due to higher productivity and more interaction with others
Product Analysis
Each team member conducted a product analysis to inform our design guidelines. I analyzed Zoom by referencing customer reviews, blog posts, videos and other sources to discover some notable findings that had not been identified in our primary research.
Design Guidelines
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Study Limitations
Researcher Bias
It is possible that the researchers on this project may have dealt with subconscious bias because they work and collaborate virtually with others every day.
Time Constraints
It would have been beneficial to conduct another round of interviews for greater population validity, but the project timelines didn't make this possible.
Conflict of Interest?
Due to the pandemic, the majority of our interviews with participants were conducted using virtual collaboration tools, which was the very topic of our research
Lessons Learned
Read product reviews of competitors
I was surprised by how much reoccurring feedback was found when reading these product reviews, many of which had not been mentioned before in my participant research.
The data should tell a story
Creating a narrative when presenting the themes and patterns extracted from my research helps others to make sense of the findings.