Case Study

Trust Signal Optimization for High-Stakes Flows

Quantified trust frictions in critical flows and guided UI changes with measurable confidence gains.

Company Name Placeholder · Quantitative UX Researcher · 2023-05 to 2023-11
TrustConversionDecision ScienceUX Metrics

Methods

Bayesian analysis, event instrumentation, confidence scoring, concept validation

Impact

Improved completion rates by 8% in critical task journeys.

Visual Vignettes

Product/feature mocks and data visualizations

High-stakes decision interface mock with policy transparency and trust scoring cues.
Feature Mock: Trust-Enhanced Decision UI

A redesigned flow with transparent policy summaries, evidence indicators, and next-step clarity.

Line chart visualization comparing trust confidence distributions by experiment variant.
Data Story: Trust Confidence Shift

Variant analysis indicating stronger confidence and improved completion probability in critical paths.

Case study narrative

Context

Users in high-stakes task flows hesitated at decision points with unclear language and limited evidence cues.

Approach

I introduced a trust confidence metric based on dwell, revisit, and abandonment behavior. We tested interface variants with transparent policy cues, clearer next-step language, and contextual evidence components.

Outcome

Teams adopted a reusable trust pattern library, and critical-path completion improved with lower variability across user segments.