Stay-at-home parents have little time for themselves as they juggle household chores and parenting. Time management and task scheduling are major pain points in the routines of stay-at-home parents.
Al planner to assist stay-at-home parents with
time management
Stay-at-home parents have little time for themselves as they juggle household chores and parenting. Time management and task scheduling are major pain points in the routines of stay-at-home parents.
To enable stay-at-home parents engage in self-care and manage time effectively.
Team of four
4 Months
Aug 2018 – Dec 2018
Pen & Paper | Sketch | Adobe XD
I was a UX Designer and UX Researcher on the team. In the research phase, I conducted 4 semi-structured interviews, and acted as a notetaker for 1 interview. All team members participated in affinity analysis and brainstorming – I brainstormed 15 ideas. Then I worked with my teammates to distill user needs from our findings.
During the Design Iterations, I actively contributed to all design alternatives during the ideation, sketch, and wireframe phases. I finalized personas and made storyboards for one design alternative. After user feedback, the team worked together on the hi-fidelity prototype of the Smart Scheduler.
During the evaluation phase, I acted as a notetaker and facilitator for 2 interviews. Finally, I analysed data by conducting affinity analysis. After the project, I made a clickable prototype from the mobile screens, and improved the clickable prototype for the main screens.
We performed Task Analysis, Literature Review, Competitive Analysis, and Interviews to learn more about our users. Interviews and Affinity Mapping proved the most resourceful during our information gathering phase.
We conducted semi-structured interviews with 11 stay-at-home parents to identify challenges that they face.
In order to make sense of the significant amount of qualitative data that we rapidly collected through interviews, we choose to create an affinity map. Through this, we identified 6 user needs for stay-at-home parents:
From our interviews, we made two personas to keep us focused while creating our designs.
After assimilating user needs, we walked the wall and brainstormed 33 design ideas for our personas. From the user needs discovered, we decided to focus on task scheduling and self-care.
From the brainstormed ideas, we chose 3 ideas to explore based on urgency of needs and feasibility.
Assists with Daily Scheduling
Wall mountable screen that enables stay at home parents to keep track of their schedule and engage in self-care activities. Replaces calendars & schedulers.
Help with child care
Mobile app that helps parents to find kid-friendly locations and activities based on user ratings.
Assists with chore delegation
A magnetic board game that can be hung on a wall. Family members advance in the game by doing chores, thus helping the stay at home parent with household work.
Using the wireframes we developed for each design alternative, we conducted a second round of semi-structured interviews with 3 stay-at-home parents to determine which concept fulfilled the most urgent need in their lives and how they would change each design. The results were unanimous — every stay-at-home parent preferred the Smart Scheduler.
We narrowed down on Smart Scheduler based on the preferences of users received from feedback sessions.
The team discussed features that the Smart Scheduler would have. The main wireframe is shown below.
We added more details to make the hi-fidelity prototype:
Please refer the subtitles displayed as a guide.
We conducted moderated usability testing by giving 6 participants 2 tasks that represented the core functionality of the system:
1. Add and delete a task on the Smart Scheduler.
2. View and interpret the footer & expanded self-care graphs.
We asked the participants to think aloud as they went through the prototype.
The overall feedback was very positive. Users found the design to be highly usable.
System Usability Scale score: 83.8%
Desirability testing top 3 words: Organized, Personal, Convenient
We conducted affinity mapping to analyze the data from the task-based testing and interview portions of our evaluation. The conclusions are shown below.
Participants suggested a few design recommendations during evaluation:
Based on the feedback received, we came up with 24 design ideas to augment our design. Some of them are mentioned below. I also realized that the color contrast of the design could be improved to augment readability and make the design more accessible.
