KPMG Client Insights
Professional Networking Mobile App
Product Type AI-driven professional business networking mobile app
End Users Firm Partners
Scope Concept to interactive prototype
Discovery, Defining Problem, Designing, Delivery
Discovery and Research
- I led discovery interviews and group design workshops to determine user pain points, use cases, and what features would offer the most business value.
- I conducted competitor research of popular professional and social networking mobile apps.
- I used mobile app design best practices including progressive disclosure and contextual navigation to solve space-related design challenges.
- I used the team component design system and component libraries to streamline development.
User Pain Points
- Firm partners spent a lot of time investigating potential business leads.
- This process was time-consuming and led to many missed potential connections because of lack of timely information.
User Needs & the User Journey
- Users needed a time-saving business networking application to suggest potentially high-value sales leads and facilitate networking with them.
- Users needed to discover high-value sales leads by calculating the probability of future sales opportunities with them, based on mutual business connections, past interactions, and mutual industry-related interests.
- Users needed a more efficient way to review a potential contact’s past and present professional affiliations before determining a course of action.
- Users needed access to a wide range of information types on each contact in order to quickly make these decisions.
- Challenges: Facilitating navigation of a data-dense UI for the user in a mobile app.
Defining the Problem
Leading Product Team workshops to analyze the use cases and frame the problem.
Designing Wireframes, Mockups and Prototype
- I designed wireframes for summary and detail dashboards based on the user journey map and existing team UI patterns.
- I reviewed low-fidelity mockups with the Product Team to gather feedback.
- I created high-resolution mockups and an interactive prototype based on user feedback and competitor research.
- A landing screen featuring a carousel of 10 recommended contacts at a time to sort through.
- An action strip on the bottom of the screen to take a variety of actions in response to contacts at any point during investigation.
- A series of contact detail screens facilitating navigation between multiple types of data on contact.
- An industry news and issue feature for networking preparation.
- AI-driven probability analysis of the business value of each potential contact.
The prototype design was paused due to limitations in data-infrastructure preventing product development at this time.