Signal AI — Designing an AI Marketing Dashboard That Helps Teams Make Better Decisions
Role: Lead Product Designer (UI/UX)
Timeline: 6 Weeks
Industry: SaaS • AI • Marketing Analytics
Overview
Signal AI is an AI-powered marketing analytics platform that helps businesses monitor campaigns, track performance, and uncover actionable insights from their marketing data.
The challenge wasn't that the platform lacked featuresit had plenty. The problem was that users couldn't quickly find the insights they needed to make confident decisions.
My goal was to redesign the product around clarity, usability, and faster decision-making.
Before touching a single pixel, I had to understand the real problem.
Signal AI provides an AI-powered marketing dashboard to help businesses track campaigns, understand performance, and make smarter marketing decisions. Before designing anything, I focused on understanding both the business goals and the users' biggest frustrations.
What problem is the business solving?
Marketing teams, startup founders, and small-to-medium businesses often struggle to make sense of scattered campaign data across multiple platforms.
Signal AI aims to solve this by bringing all marketing insights into one intelligent dashboard where users can monitor performance, identify opportunities, and act faster using AI-powered recommendations.
Where was the business losing users?
The product faced two major growth challenges:
Low activation during onboarding, with many users leaving before experiencing the platform's value.
High churn because users couldn't quickly understand their campaign performance or discover the AI features designed to help them.
The issue wasn't a lack of functionalityit was a lack of clarity.
Research
To validate these assumptions, I conducted user research to understand how marketers interacted with analytics platforms.
Research Methods
User Interviews
Competitor Analysis
UX Audit
Journey Mapping
Dashboard Analysis
Key Findings
Users consistently reported that:
There was too much information competing for attention.
Important metrics were buried under secondary content.
AI recommendations felt hidden instead of helpful.
Navigation required unnecessary clicks.
New users didn't know where to begin.
Defining the Design Goals
From the research, I established five priorities:
Help users understand performance within seconds.
Surface AI recommendations at the right moment.
Reduce cognitive load through better information hierarchy.
Simplify navigation across the platform.
Improve onboarding to increase activation.
The Design Solution
Instead of redesigning individual screens, I redesigned the experience around the user's workflow.
A Dashboard Built Around Priorities
The homepage was reorganized so users immediately see the metrics that matter most instead of searching through multiple widgets.
AI That Feels Helpful
Rather than burying AI-generated insights inside reports, I introduced a dedicated insights section that proactively highlights anomalies, trends, and recommended actions.
Cleaner Navigation
I simplified the information architecture, reducing unnecessary menu items and organizing features around how marketing teams actually work.
Better Data Visualization
Charts, tables, and KPI cards were redesigned with stronger hierarchy, improved spacing, and clearer labels, making complex analytics much easier to interpret.
Personalized Workspace
Users can customize dashboard widgets, pin reports, and prioritize the metrics most relevant to their goals.
Improved Onboarding
A guided onboarding experience introduces key features gradually, helping users reach their first meaningful insight much faster.
Outcome
The redesign created a more intuitive experience that allows users to discover insights faster and engage with the platform more confidently.
Impact
Improved visibility of AI-generated insights.
Reduced cognitive load through better information hierarchy.
Faster discovery of important marketing metrics.
More intuitive navigation across the platform.
Consistent experience across 20+ redesigned screens.
Scalable design system for future product growth.
What I Learned
This project reinforced an important lesson: users don't need more data they need clearer direction.
By prioritizing information hierarchy, simplifying workflows, and presenting AI recommendations at the right moment, I transformed a feature-rich dashboard into a product that helps users make faster and more confident marketing decisions.