Case Study

Experimentation-Led Onboarding Redesign

Built an experimentation framework that reduced drop-off during activation.

Company Name Placeholder · Quantitative UX Researcher · 2024-01 to 2024-07
ExperimentationOnboardingActivationBehavioral Analytics

Methods

Funnel analysis, mixed-effects modeling, experiment design, survey linkage

Impact

Increased activation by 11% and improved week-1 retention.

Visual Vignettes

Product/feature mocks and data visualizations

Mocked onboarding experience showing progressive step cards and confidence prompts.
Feature Mock: Progressive Onboarding

A modular onboarding concept that stages cognitive load and introduces confidence cues at each step.

Bar chart showing improved activation rates across onboarding steps with confidence interval markers.
Data Story: Activation Uplift

Experimental results showing where activation gains concentrated and how variance narrowed in later steps.

Case study narrative

Context

New users were abandoning setup at key friction points. Product and design teams had multiple hypotheses, but no shared measurement framework.

Approach

I combined clickstream funnel analysis with attitudinal survey data to identify where confidence and progress perception diverged. We prioritized three intervention points and ran controlled experiments with sequential testing.

Outcome

The redesigned sequence reduced first-session abandonment and made onboarding behavior more predictable across segments, enabling better planning for growth initiatives.