Apple Reminders App
The AI-powered Apple Reminders app is a next-generation task management solution that automatically transforms unstructured task entries into actionable to-do lists.
Product Experience
Problem Statement
Users of the Reminders app struggle with the time-consuming process of manually creating structured to-do lists, often feeling overwhelmed by their tasks and unsure of where to start. This leads to decreased productivity, missed priorities, and decision fatigue. There is a need for an intelligent solution that analyzes user inputs and automatically generates organized, prioritized task lists with deadlines, helping users focus on what matters most and confidently navigate their day.
Problem Background
Apple Reminders is a versatile app that integrates with the Apple ecosystem, allowing users to set reminders, tasks, and lists. However, it lacks advanced AI-driven capabilities for task management, which are offered by some third-party apps like Todoist and TickTick. These apps utilize AI to help users organize tasks and set priorities efficiently. By integrating AI into the Reminders app, Apple can:
- Automatically detect and categorize tasks.
- Suggest priorities and deadlines based on user input.
- Offer seamless integration with Calendar and other Apple services to enhance productivity.
Research Insights
User Pain Points:
- We identified a few different categories of prospective users and did 12 user interviews. We noticed that a major points were
- Anxious feelings towards being organised expressed by being overwhelmed by the lists of tasks to do in a day
- Dissatisfaction with the current method for task management.
Supporting Data
- “75% of people we spoke to mentioned they were overwhelmed because of the tasks they had to do
- 50% of people were dissatisfied with their current method of task management.
Feedback
- I noticed that each user had taken steps to try to solve the problem by trying a different method but the initial pain point was the inability to breakdown a given task to multiple items
Landing on the Solution
From conducting user interviews, we decided to focus on the following features:
- Task Breakdown: AI should split complex tasks into subtasks for easier tracking
- Automatic Task Categorization: AI should classify tasks into Work, Personal, Shopping, e.t.c
- Deadline-Based Reminders & Notifications: Users must receive alerts for upcoming tasks.
User Flows/Mockups
Images - screenshots, marketing assets, etc.
Learnings
Product Manager Learnings:
Emmanuel Adebayo
During this bootcamp, I deepened my strategic approach to product development, honing my ability to think critically about building impactful solutions. I refined my skills in conducting user interviews, learning how to ask the right questions to validate problems and uncover the most effective solutions. Additionally, I gained valuable expertise in feature prioritization, ensuring that product decisions focus on the key features that drive real value and directly address user needs.
Designer Learnings:
Designer Learnings:
Jo Sturdivant
- Adapting to an Established Team: Joining the team in week 6 of 8 was challenging, as I had to quickly adapt to existing workflows, dynamics, and goals. This mirrors real-world situations where you often integrate into teams mid-project, and flexibility is essential.
- Work-Blocking for Efficiency: With only two weeks to complete the project, I learned the importance of a structured work-blocking system. This approach allowed me to manage my time effectively and meet deadlines under pressure.
- Making Data-Driven Design Decisions: Unlike my past projects, I had to rely on research conducted by others. This was a valuable experience in using pre-existing data to guide design decisions, helping me focus on the core insights without starting from scratch.
Developer Learnings:
Developer Learnings:
Vanady Beard
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As the back-end developer, I learned how important it is to create efficient and reliable systems that support the entire application. This experience also taught me the importance of optimising the database and ensuring the backend is scalable and easy to maintain.
Developer Learnings:
Stephen Asiedu
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As a back-end developer, I've come to understand the importance of being familiar with various database systems and modules. This knowledge enables me to build diverse applications and maintain versatility in my work. I've also learned that the responsibility for making the right choices rests on my shoulders, guided by my best judgement.
Developer Learnings:
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Developer Learnings:
Maurquise Williams
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- Process of Creating an MVP: Developing a Minimum Viable Product (MVP) taught me how to focus on delivering core functionalities balancing between essential features and avoiding scope creep.
- Collaboration in a Real-World Tech Setting: This experience taught me how to collaborate efficiently in a fast-paced tech environment, keeping the team aligned and productive, even while working remotely across time zones.
- Sharpening Critical Thinking and Problem-Solving Skills: This experience honed my ability to think critically and solve problems efficiently. By tackling challenges and finding quick solutions, I sharpened my decision-making and troubleshooting skills in a dynamic, real-world setting.
Developer Learnings:
Jeremiah Williams
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All in all this experience was very awesome I learned that in coding with others being transparent is key
Developers Learnings:
Justin Farley
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I learned how important communication is when working with a team. Communication provides understanding, advice, ideas, and much more. While working with the product team, I’ve found that communication keeps everything flowing smoothly. Working with a team also showed me that every member brings something different to the table and we all have to work together in order to align and meet our end goal.