Generative and Evaluative Research
Interaction Flow and Design
Low to High Fidelity Prototypes
Presentation & Pitch
Using our data, we created themes and insights, which then became design principles. Here are a few examples
Help TCKs recognize and preserve meaningful relationships as a source of consistent support.
Provide a foundation for self-reflective practices, keeping in mind that self-reflection can be difficult during early adulthood.
Our solution should leverage the advantageous aspects of being a TCK.
A device that tracks emotions through the day using emerging technologies from MIT. This data would pair with a mobile app to view and share experiences with other TCKs.
Create several hotspots near or on their college campuses that prompt TCKs to share their stories and interact with other stories that have been “left."
Letting students opt-in to a mentorship program where incoming TCK students are paired with older TCK students.
A program that rotates a cohort of TCKS through four U.S. colleges for the first two years of education
We created a few different flows for this on paper. How often would we prompt users? What would that look like? What type of notifications should they receive, if any? And realized that we had too many features that we were trying to incorporate. To prioritize and keep our product a little more targeted, we used a feature value matrix to scored features by assigning values of -1 to 3. Each feature was evaluated for how well it supported our design principles.
Following the individual assessment, we aggregated the scores to identify “must-have” features for our product:
Fill-in-the-blank style prompts give users a place to reflect on their own experiences and makes user generated content consistent. Prompts span from lighthearted to more serious.
Additionally, users can opt-in to meet other TCKs in their current city. Many students we spoke to felt like they were the only TCKs on their campus, but often times they are not alone.
We wanted to create a space where a visible community could grow.
Don’t be afraid to try new research methods. We ended up adding a storytelling activity to our semistructured interviews after piloting it to get better data for our research. We realized that being open ended, and being flexible enough to recognize when we needed to switch up our process created much better results.
Understanding your users and empathizing their their needs is a huge component of design, especially for emotionally sensitive products like these. But getting feedback from people and teams that were not as steeped inside the data is always useful. Their outside perspective helped us push the boundaries on how we thought about our product and influenced our end result.