The first handshake with security data

Integration with the first security data source

Technical Workflow

Timeline
11/2023-05/2024

Role
Design lead

Team
2 designers
4 engineers
2 product managers
2 security specialists

Overview
I led the design of the onboarding experience to support the first security data source integration, creating a streamlined and scalable design that can be generalized to all other data sources.

From preview to public release, I supported the product team for successful rollouts and also mentored a junior designer to level up skills on user research and design collaborations.

The business initiatives is to expand the data integration to security data source, helping organizations unlock their security insights with advanced analytics.

But the problem is prominent: the existing onboarding flow is fragmented and takes a long time to complete, remaining as the biggest friction to user adoption.

Users need an efficient workflow with instructive information and confirmation.

Streamlined experience
A wizard design to reduce cognitive load.

Built-in automation
To automate the index setup process.

Guided experience
A hand-holding experience with multi-level instructions design.

However, data integration is more than just onboarding. A truly streamlined experience should account for the end-to-end user journey.

The final design showcases the end-to-end data integration experience from first-time onboarding to later modification.

Kick off onboarding
A combined workflow with single entry point + learning page.

Kick off onboarding
A combined workflow with single entry point + learning page.

Connect to data source
A wizard design with guided flow to connect to the data step-by-step.

Configure data access
Set up search and analytics with visual aids and built-in automation.

Complete onboarding
A review page before completion.

Validate
A consolidated page to quickly modify the configuration based on the validation.

Monitor
Check the data usage via the connected dashboard for each connected data source.

Impact

40% time saved

Reducing the steps from 15 to 9

5 more use cases

With advanced analytics

+45% usability

Measured by the EASE metrics

1st data lake integration

Improving Splunk's scan-based data search

15 active customers

Highlighted at the Splunk's annual conference

$17.6B market opp.

Potential data lake market opportunity