Hello! I’m Laura

I'm a Staff-level UX Researcher with 15+ years of experience helping teams make sense of complex customer behavior and turn research into better product decisions.

My work aims to build explanations, not just findings. I turn evidence across studies into models and frameworks that explain the underlying phenomenon — giving teams a shared way to reason about it and make decisions long after individual studies are over.

I've led research across AI, marketplaces, e-commerce and EdTech, working internationally and conducting research in four languages.

A woman smiling at the camera, sitting at a desk with a silver Apple MacBook, a white coffee mug, and green plants in the background.

Over the past 15+ years, I've worked across multinational organizations and early-stage companies, researching products and services.

Much of my work has focused on complex, ambiguous problems where the answer isn't contained in a single study — connecting evidence across research, behavioral data and existing knowledge to build a clearer picture of what's happening and what teams should do about it.

What do you need?

  • Make sense of a complex customer problem

    You know what customers are doing. You may even have plenty of research and data. But you still don't have a convincing explanation for what’s driving it.

    You need to connect the dots — uncover the motivations, conditions and mechanisms behind the behavior, and turn scattered evidence into a shared explanation your team can use across products, problems and future decisions.

  • Make a difficult product decision with confidence

    You have an important decision ahead, but the evidence is incomplete, contradictory or simply not strong enough to choose a direction.

    You need to separate what you know from what you assume, identify the uncertainties that actually matter, and gather the right evidence to evaluate your options and move forward with confidence.

  • Make research more valuable across your organization

    You’re doing research, but its value isn’t compounding. Knowledge gets lost between projects, teams work in isolation, or research struggles to influence the decisions that matter.

    You need the right research strategy, practices, frameworks and capabilities so knowledge accumulates over time — and becomes something teams can consistently use to make better decisions.

Some of my work

I helped IKEA understand what was really stopping customers from hiring home-service professionals.

I led the strategic research agenda for a new two-sided services marketplace, combining qualitative research, large-scale surveys, and behavioral data to explain why customers who showed interest often didn't convert.

The research revealed different levels of customer intention and the conditions required for someone to be ready to hire, giving teams a shared framework for distinguishing genuine demand from exploration. It informed changes across the marketplace experience that helped triple conversion and reduce low-intent demand by up to 27%.

I helped Storio identify what it couldn't afford to lose during a major platform migration.

As Storio prepared to migrate several of their European brands to a new e-commerce platform and streamline its product portfolio, I led research to understand which features and product capabilities customers genuinely depended on — and what could safely be simplified or removed.

The research uncovered customer behaviors and needs that the planned changes would have disrupted. Based on these findings, the Finance team estimated that deprioritizing those capabilities could put €3.4M in customer revenue at risk.

This gave the organization evidence to make deliberate trade-offs during the migration and preserve the experiences that mattered to valuable customer segments.

I helped Brainly understand its role in students’ broader learning ecosystem.

As Brainly expanded its product with new features, the team needed to understand how students actually navigated the experience, where Brainly fit into their broader learning journeys, and whether the product reflected how they really learned — particularly as learning behaviors had shifted following COVID.

Across three international markets, I led foundational research mapping students’ end-to-end learning ecosystems: how different learning needs emerged, how they moved between Brainly and other resources, and how they navigated Brainly itself.

The resulting frameworks and customer journeys became shared organizational references for understanding student behavior and informed more than 45 product initiatives. Alongside this work, I built Brainly’s UX Research function from the ground up, helping scale research from 10 to 75 studies in one year.

I helped Wallapop understand what needed to change before entering a new market.

Before Wallapop launched in Italy, I designed mixed-methods research to understand whether the assumptions behind its existing marketplace experience would hold in a different cultural and competitive context.

The research identified which parts of the experience needed to change, which could remain, and where the greatest risks to adoption were. I translated the findings into product decisions through co-creation with the teams. Following the launch, Wallapop became Italy's most downloaded marketplace app in 2022, with 2.4 million downloads.

Ask me anything.

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