PROPOSED DESIGN SOLUTIONS
A/B TESTING
The variant was shown to 50% of auto insurance traffic over several weeks — or until the funnel reached a statistically significant sample size. Testing was run through Eppo, with the primary lens on drop-off rate via User-to-Applicant Conversion.
CONTROL
No progress indicator. Users enter the funnel with no sense of length, completion, or what's next.
VARIANT
Progress indicator added throughout the funnel. Users can see where they are and how much remains at every step.
FINAL SCREENS




IMPACT & OUTCOMES
+12%
applicant conversion
↑RPU
revenue per user
−15%
funnel drop-off
5,000+
users in test sample
NEXT STEPS
Analyze A/B results for statistical significance and determine whether lift is strong enough to expand the pattern.
Iterate on the progress indicator design based on what the test data reveals about user behavior at different funnel stages.
Expand to other insurance funnels — home and bundle — if the auto funnel results prove out the hypothesis.
WHAT THIS PROVES
This wasn't a redesign — it was a focused, testable intervention in a high-traffic system. I identified a clear user problem, formed a measurable hypothesis, designed within tight constraints, and validated the solution with data. That's how I work: impact-first, constraint-aware, and always ready to prove it.
















