Work Samples

Instant Insight for Decisive Action

Instant Insight for Decisive Action

Role

Lead Designer

Challenge

Flashpoint faced both external and internal challenges in delivering timely intelligence to customers.

Users struggled with accessing relevant, up-to-date data across multiple areas of the platform, often finding it outdated by the time they review it. Users want a consolidated, real-time feed of key information, tailored to their interests and easily accessible from the dashboard.

Internally, analysts grappled with inefficient processes involving multiple tools and long production times, such as the 7-hour effort to create summaries, which slows down the delivery of critical insights to customers.

External Solution

Consolidated Customer View

Create a one-stop dashboard where customers can easily access and manage relevant intelligence based on their industry, region, or interests. This would include "snackable" content (small, digestible pieces of information) in a format similar to a Twitter feed.

Internal Solution

Streamlined Analyst Workflow

Develop a more efficient experience for analysts to collect, create, and share threat intelligence quickly. This includes making it easier to publish bite-sized content while maintaining existing workflows

Process

Discovery Phase - Internal Stakeholder Interviews

Met with internal teams, including Product, Engineering, Sales, and Intelligence Analysts. Each interview was split into two parts: knowledge gathering and discussions around future expectations for content sharing.

Identified two key problems:

Customers need quick access to customizable, snackable intelligence.

Internal analysts need to streamline inefficient processes for collecting and disseminating intelligence.

Solution Exploration:

Discussed potential features like a consolidated dashboard for customers to easily access relevant intelligence, collaboration features for sharing knowledge, and AI-driven summaries to condense insights over time.

Ideation and Next Steps:

Planned to begin wireframing and ideation sessions to refine the UX.

Feedback sessions with stakeholders and customers were scheduled to de-risk the design approach.

Usability Testing:

Committed to user testing and creating high-fidelity mockups to ensure the design meets user needs before moving to development.

Final Implementation Planning:

Outlined the steps to finalize the design, including building consensus and preparing for Quarter 4 implementation. Interviews

Solution Exploration:

Discussed potential features like a consolidated dashboard for customers to easily access relevant intelligence, collaboration features for sharing knowledge, and AI-driven summaries to condense insights over time.

Ideation and Next Steps:

Planned to begin wireframing and ideation sessions to refine the UX.

Feedback sessions with stakeholders and customers were scheduled to de-risk the design approach.

Usability Testing:

Committed to user testing and creating high-fidelity mockups to ensure the design meets user needs before moving to development.

Final Implementation Planning:

Outlined the steps to finalize the design, including building consensus and preparing for Quarter 4 implementation. Interviews

Solution Exploration:

Discussed potential features like a consolidated dashboard for customers to easily access relevant intelligence, collaboration features for sharing knowledge, and AI-driven summaries to condense insights over time.

Ideation and Next Steps:

Planned to begin wireframing and ideation sessions to refine the UX.

Feedback sessions with stakeholders and customers were scheduled to de-risk the design approach.

Usability Testing:

Committed to user testing and creating high-fidelity mockups to ensure the design meets user needs before moving to development.

Final Implementation Planning:

Outlined the steps to finalize the design, including building consensus and preparing for Quarter 4 implementation. Interviews

Proposed Solutions

Proposed Solutions

Consolidated View for Customers

Streamlined Workflow for Analysts

The future solutions

AI-Driven Summaries

Introduce AI-generated summaries to roll up snackable content over different periods (e.g., daily, weekly, or monthly trends).

Why

Since the content is often small and fragmented, AI summaries would provide a higher-level view of trends and insights, making it easier for users to see key takeaways across time.

Collaboration Features

Introduce features that allow both internal analysts and customers to collaborate on intelligence discovery, similar to a shared workspace.

Why

Collaboration could improve intelligence gathering by leveraging collective knowledge. However, this requires careful design to manage privacy concerns and prevent overburdening analysts with too much engagement.