Researcher
Used analytics and session replays to find the "why" behind the user drop-off.
How the AI team diagnosed a critical drop-off point and redesigned the "Aha!" moment for a new SaaS product, boosting activation and feature adoption.
NIMBLE, a new B2B SaaS tool, had a great product, but users weren't sticking around to discover it. Their data showed a steep 35% drop-off within the first 3 minutes of a new user signing up.
The problem was a classic "empty room":
They needed to guide new users to value, immediately.
Used analytics and session replays to find the "why" behind the user drop-off.
Crafted the user-friendly checklist and UI that guided users to the "Aha!" moment.
Managed the A/B test implementation and validated the positive impact on metrics.
"We stared at that drop-off metric for months. The AI team came in, diagnosed the problem in days, and designed a solution that just *works*. Seeing that activation number jump 18% was the validation we needed. It's a massive win for our product."
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