As UX Researcher, I help teams make better decisions by uncovering what users truly value, understand, expect, and experience.
Through research, I address a wide range of product, design, and business challenges across digital platforms.
🔧 Value I Deliver Through Research
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Clear explanations for why users churn, abandon, or disengage
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Evidence-backed validation of new features, concepts, and flows
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Actionable insight on perceived value and decision-making logic
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Identification of gaps in onboarding, comprehension, or trust
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Clarity on user attitudes, needs, and segments
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Tools and frameworks for product teams to interpret user behavior
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Improved prioritization and internal alignment across functions
🧪 Methods I Use
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User interviews (exploratory, evaluative, longitudinal)
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Surveys (segmentation, attitudinal tracking, perception mapping)
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Usability testing (moderated/unmoderated, task-based, prototype or live)
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Concept and message testing
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Behavioral segmentation and usage pattern clustering
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Open-ended data analysis at scale (qual coding + AI support)
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Metric development (e.g., experience quality, perceived value, usability, fairness)
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Cross-method synthesis (linking qual + quant + behavioral data)
🔍 Types of Problems I Typically Solve
User Understanding & Segmentation
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“We don’t know who our users are beyond demographics.”
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“Different teams have different assumptions about user needs.”
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“We can’t prioritize because we’re not sure which user problems are real.”
Churn, Drop-off, and Disengagement
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“We see behavioral drop-off, but we don’t know what’s causing it.”
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“Why do users abandon this flow mid-way?”
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“What are the earliest signals of future churn?”
Feature Validation & Usability
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“We’re launching a new feature — will users understand it?”
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“Is this flow intuitive, or are users confused at step 2?”
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“Can users find this option when they need it?”
Perception of Value
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“Users say they want it, but they’re not using it — why?”
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“Do people see this as worth their time/money/attention?”
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“What feels fair, meaningful, or excessive from the user’s perspective?”
Onboarding & Learning
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“How quickly do users understand how to use this product?”
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“Does product usage improve over time — or plateau?”
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“Where do people get lost or overwhelmed?”
Attitudes, Emotions & Mental Models
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“How do users think this works — and how do they feel about it?”
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“Do people feel in control, frustrated, rewarded?”
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“How aligned is our design with real user expectations?”
Metrics & Experience Tracking
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“How can we track user sentiment and comprehension over time?”
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“What attitudinal metrics should we include in our dashboards?”
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“Are users experiencing more clarity, value, or friction than last quarter?”