The Carbon Black Alerts Revamp Project aimed to revolutionize the user experience for enterprise corporate security analysts by enhancing the Alerts section, the cornerstone of the CB endpoint protection software. This initiative was integral to improving early endpoint threat detection and mitigation capabilities. By leveraging agile methodology and fostering cross-functional collaboration, the project focused on creating a more intuitive, efficient, and user-centric alerts interface. The comprehensive redesign included developing new alert detail views, grouping threat IDs, and introducing an auto-close alerts rule library, all while maintaining stringent quality and design standards.
Customers complained about disappearance of auto-closed alert rules into an inaccessible black box.
In the CB Alert Feed, customers could identify auto-closed alerts; however, there was limited visibility into which auto-close rule was driving the alert closure process. This lack of transparency created confusion and hindered user trust in the system’s automation. From a customer-centric perspective, the need for a Rule Manager to provide clarity and control over these processes became evident.
Customers were dissatisfied with no capability of editing or auditing alert auto-close rules.
Above you see a depiction of "Close Alert Modal" which allows user to set an auto-close rule. But customers are not happy that there is no way to audit or edit these rules, trusting the service less.
Customers wanted to edit and audit alert auto-close rules.
Problem
The UX team questioned whether auto-closing alerts was the optimal solution. It was suggested that this feature might be better addressed at the organizational alert policy level, rather than through the current implementation.
Approach
To address this tension, I organized two design workshops aimed at resolving the conflict between these priorities.
Research
I meticulously reviewed existing research highlighting customer pain points related to alert fatigue and multi-alert management. Key data was presented in design workshops to UX leadership to emphasize the urgency of resolving these issues, especially considering potential dependencies on platform architecture that was not yet ready for implementation.
Research Objective:
Validate existing research and understand current customer needs after recent feature improvements in the alert section and CB policy area.
Key Takeaways:
CB customers have consistently complained about the disappearance of auto-closed alert rules into an inaccessible black box. These rules, created during alert closure, cannot be accessed or managed, leading to significant user frustration. Despite being a known issue, the product team faced challenges implementing the necessary enhancements.
Armed with the knowledge that our customers still require clear visibility and management of auto-closed alerts, and recognizing the immediate need for auto-close alerts, I began the workflow and story mapping process. I meticulously mapped out all potential use cases and scenarios that customers might encounter during the alert closure process.
This exercise provided a clear direction on where we could potentially introduce the auto-close rule manager, though its final placement—whether in the alerts section or within policy tuning—remains to be determined. Additionally, it highlighted several workflow issues, such as how users would access the auto-close rule manager and how it integrates with the overall alert closure workflow. These insights are guiding the next steps in refining the user experience.
After completing the workflow exercise, which I shared with the product owner during our weekly alerts meeting, I proceeded to develop detailed wireframes for the auto-close feature. These wireframes were instrumental in the UX validation research and served as the foundation for the testing prototype. The prototype not only validated the features we had collectively decided to include in this epic but also addressed the critical question of where our customers envisioned the auto-close rule management would reside—whether in alerts or within the policy settings.
This exercise provided a clear direction on where we could potentially introduce the auto-close rule manager, though its final placement—whether in the alerts section or within policy tuning—remains to be determined.
1/5
I created an interactive prototype for the alert auto-close rule creation and management, which I presented to the UX leadership.
The goal was twofold:
Next I collaborated with the UXR team to organize usability testing and validate the design direction for the auto-close alerts with customers.
Study goals:
Study outcomes:
The study confirmed the utility of key features, such as rule deletion, rule creation details (including who created it, when, and on which endpoints). The findings indicated that users preferred to see the rule manager in the policy section, particularly associated with a group of endpoints—a feature recently released for Carbon Black that has been well-received by customers.
“ …it actually should be on the screen is the number of times that this rule was hit in the last pick a day, 24 hours, one week, one month, give people an option. Keep a counter… So I think give people an option and a choice of what the time frame is. But then say how many times was this rule hit in that time frame? It's also got benefits the other direction, not just that things were not heard, but if something was hit 50,000 times, well, we shouldn't be relying on a rule to tidy that we should be fixing root cause and that will be a really good indication of, hey, we need to go and find out what root cause is for this one.”
-P10
Incorporated customer feedback from usability.
We chose to build the auto-close manager as a standalone functionality, independent of its location (whether in alerts or policy), allowing for seamless integration after the policy revamp.
The next step involved breaking down the work to user functional development stories, enabling us to accurately size the overall effort required for implementation.
Each quarter we planned work the Auto-close epic was story refined and planned with the UI dev team to T-shirt size the effort.
CustomerTrust
Auto-close alerts is elevated to a complete workflow where the user can manage, view and edit an auto-close rule. No more incomplete functionality in the product.
Team Alignment
Resolved underlying discord, resulting in 100% alignment on project goals.
Organizational Impact
Unified priorities across the organization, enhancing collaboration and reducing goal differentiation.
Each quarter we planned work the Auto-close epic was story refined and planned with the UI dev team to T-shirt size the effort.
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