Designing an AI SaaS tool aimed at simplifying project planning for teams and organizations - Client project.
Secured early-stage funding for a Bay Area startup.
In early 2023, I was part of a small team of 2 designers and 2 engineers to build ArkiTask, a new productivity platform tool from 0-1. We worked on this project for 3 months, developing an MVP and bringing the product to life. My involvement in this project was largely focused on the product ideation and creation of the visual design and high-fidelity wireframes, mockups, and prototypes of the core project planning flow/feature.
The newly founded Bay Area startup wants to support organizations and teams to save time on project planning with AI-powered templates and cost estimates. The tool aims to serve as an intelligent companion, enabling businesses to make smarter decisions regarding task allocation and task management.
Designing a product that didn’t exist before while also being feasible to build and launch within strict time and technical constraints.
Organizations are facing challenges with managing their time effectively due to poorly written, estimated, and missing tasks.
How might we provide a seamless experience for cyclists looking for safe parking options?
How to integrate an AI tool into a productivity platform?
With such complex functionality, how do we make the platform intuitive and easy to use?
How do we balance design considerations with technical constraints on an early-stage product?
How might we provide a seamless experience for cyclists looking for safe parking options?
Discover all available bike parking options in your area—including safer alternatives to street parking—and easily filter through them to plan your rides with ease. No more guessing, scanning, calling local businesses or endlessly researching online for recommendations.
By automating cost distribution, travelers can make informed choices about their accommodation, reducing manual effort and empowering group organizers to select budget-friendly options.
- Automating the cost distribution, reducing the manual effort required to calculate expenses for each traveler.
- Empowering travelers to make informed choices about their accommodation and enabling group organizers to select options that align with the group's budget.
Our new proposed payment method “Split cost” allows travelers to divide the cost of the accommodation before booking, ensuring that each participant contributes their share in advance, reducing the financial burden on any one person.
By automating cost distribution, travelers can make informed choices about their accommodation, reducing manual effort and empowering group organizers to select budget-friendly options.
- Automating the cost distribution, reducing the manual effort required to calculate expenses for each traveler.
- Empowering travelers to make informed choices about their accommodation and enabling group organizers to select options that align with the group's budget.
During this research, I explored many open data sources that could provide insights on bike parking locations and bike theft data like local government websites and bike advocacy groups, as well as analyzed discussions and forums like Twitter and Reddit to get unfiltered experiences from cyclists.
I identified that many people’s decision to own a bike or commute by it is strongly affected by the security concerns over their property. Additionally, there is a lack of tools available to assist cyclists in finding safe and secure bike parking. Google and Apple Maps currently do not have any data for public street bike racks and provide very limited information on bike parking facilities.
I conducted 5 user interviews to help me get a better understanding of the steps users take to protect themselves from bike theft and identify specific challenges cyclists face when it comes to finding bike parking.
Cyclists currently often resort to tedious ways of finding safe bike parking options, such as manually scanning for bike racks or asking local businesses if they allow bikes to be parked on their property. They also spend time researching online for information about bike parking facilities or rely on word-of-mouth recommendations from other cyclists. These methods are time-consuming and unreliable, making it difficult for cyclists to feel confident and secure in leaving their bikes unattended.
I identified that many people’s decision to own a bike or commute by it is strongly affected by the security concerns over their property. Additionally, there is a lack of tools available to assist cyclists in finding safe and secure bike parking. Google and Apple Maps currently do not have any data for public street bike racks and provide very limited information on bike parking facilities.
Because of the nature of the project, I primarily relied on lengthy conversations with the start-up founder and subject matter experts to draw out the information I needed in order to put myself in the users’ shoes and bring the product to life.
Initially, the founder, Julien provided me with some rough sketches to convey his initial vision for the product. However, after several weeks of ideation and iteration, the final design and functionality evolved significantly from its initial concept.
Since our client had planned to pitch this product to potential customers and get funding to develop the product, understanding the constraints I would be designing under was important.
- Time Constraints: We only had two months to build the product, so we wanted to make sure that all main problems were addressed in our proposed solution.
- Technical Constraints: The client had limitations on their current technology infrastructure, which meant we had to work within those limitations to create a feasible solution.
I identified that many people’s decision to own a bike or commute by it is strongly affected by the security concerns over their property. Additionally, there is a lack of tools available to assist cyclists in finding safe and secure bike parking. Google and Apple Maps currently do not have any data for public street bike racks and provide very limited information on bike parking facilities.
I identified that many people’s decision to own a bike or commute by it is strongly affected by the security concerns over their property. Additionally, there is a lack of tools available to assist cyclists in finding safe and secure bike parking. Google and Apple Maps currently do not have any data for public street bike racks and provide very limited information on bike parking facilities.
I identified that many people’s decision to own a bike or commute by it is strongly affected by the security concerns over their property. Additionally, there is a lack of tools available to assist cyclists in finding safe and secure bike parking. Google and Apple Maps currently do not have any data for public street bike racks and provide very limited information on bike parking facilities.
I identified that many people’s decision to own a bike or commute by it is strongly affected by the security concerns over their property. Additionally, there is a lack of tools available to assist cyclists in finding safe and secure bike parking. Google and Apple Maps currently do not have any data for public street bike racks and provide very limited information on bike parking facilities.
I identified that many people’s decision to own a bike or commute by it is strongly affected by the security concerns over their property. Additionally, there is a lack of tools available to assist cyclists in finding safe and secure bike parking. Google and Apple Maps currently do not have any data for public street bike racks and provide very limited information on bike parking facilities.