Turning Drop-Off into Growth with a 24% improvement in Onboarding Success
At FireAI we wanted to help teams and first-time users unlock insights without feeling overwhelmed.
FireAI provides an AI layer on top of business data, allowing teams to ask questions in natural language, generate instant reports, and visualize insights without technical skills.
MY ROLE
Responsible for research,
conceptualization, and design.
TEAM
Two product designer, Design lead
WHERE USERS STRUGGLED
People quit before they even saw FireAI’s value.
FireAI is a powerful analytics platform, but the first-time experience didn’t feel powerful. New users stalled during onboarding, felt mentally overloaded, worried about data security, and rarely reached the actual product, resulting in very low activation.
The problem wasn’t the product but the introduction: too much too soon, long forms, unclear context, visual noise, and no emotional lift.
What are we trying to solve?
User Problem
Business Problem
New users didn’t feel the power of FireAI during onboarding. They got overwhelmed within minutes, felt unsure about what information to provide, grew anxious about data uploads and security, and often dropped off before ever reaching the real product experience.
KEY INSIGHTS FROM USER BEHAVIOR
People quit before they even saw FireAI’s value.
Using Microsoft Clarity, I analyzed session recordings and interaction patterns to understand where users struggled
Studied onboarding and data-integration flows across leading analytics SaaS platforms to understand how successful products simplify the setup experience.
FireAI is a powerful analytics platform, but the first-time experience didn’t feel powerful. New users stalled during onboarding, felt mentally overloaded, worried about data security resulting in very low activation.
The problem wasn’t the product but the introduction: too much too soon, long forms, unclear context, visual noise, and no emotional lift.
RETHINKING THE EXPERIENCE
We started off with some initial brainstorming. Before delving into designs, we wanted to be very sure of what sequential actions we want the users to take.
We also made a list of permutations & combinations of the different steps user will have to take to complete the sign up process and evaluated them against each other.
FINALIZED FLOW
WHY THIS WORKS
Sample data reduces setup anxiety
Removes early pricing friction
Builds momentum before commitment
Enables progressive activation later
STRATEGIC TRADE-OFF
We delayed user personalization in favor of early clarity and speed.
REJECTED ALTERNATIVES
Activation improves when users experience meaningful value before being asked for effort, data, or payment.
SNEAK PEAK INTO THE NEW FLOW
ADDING CONTEXTUAL GUIDANCE
Reducing Cognitive Load and Increasing Early Value
Data showed users were dropping off before experiencing the product’s core intelligence.
To address this, I introduced interactive product walkthroughs during onboarding to guide users through key features without overwhelming them.
Deferring Initial Data Commitment and Encouraging Exploration
Additionally, instead of forcing users to connect their own data immediately, I introduced a sample database that loads when users land on the home screen. This allowed them to explore insights instantly before committing setup effort.
IMPACT & OUTCOME
