Description

Most product and strategy teams don't lack opinions. They lack the data to know which opinion is right and the confidence to act on it. I help senior decision-makers resolve high-stakes questions fast:

which features to prioritise
what's actually driving churn
which pricing model to go with
whether a new concept will land

The output is always the same: a clear, evidence-based recommendation you can defend to stakeholders and act on immediately.

I'm a Senior Quantitative Researcher with 7+ years experience at Kiwi.com, Telefónica, and LalTal. My methods include conjoint analysis, MaxDiff, regression, survival analysis, and behavioural data modelling. I design the study, run the fieldwork, do the analysis, and deliver findings your team can use.

Typical engagements: pricing and packaging decisions, feature prioritisation, concept and positioning testing, churn driver analysis, buyer segmentation. I usually work with product managers, heads of strategy, founders or marketing leaders.

If you have a specific question and need a clear answer backed by real data, that's exactly what I do.

Industry field of expertise

Languages

English
Native or bilingual
German
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Svenja Pieritz Consulting
Research Consultant
RESEARCH
April 2026 - Today (2 months)
Lyon, France
I work with product and strategy leaders who have a specific, high-stakes question and need a clear evidence-based recommendation—not just a data dump.
Engagements are focused and fully managed, from framing the right question to delivering something you can act on immediately.
Product Launch Strategy Go-to-Market (GTM) Strategy User Research Marketing Studies Data science
Kiwi.com
Senior Quantitative UX Researcher
RESEARCH
May 2022 - April 2026 (3 years and 11 months)
Barcelona, Spain
Pioneered quantitative UX research at Kiwi.com — the company's first quant researcher. Operated across all product domains and reported directly to the CEO on high-stakes strategic decisions.
- Designed and delivered conjoint, MaxDiff, and concept-testing studies that directly informed pricing decisions, product direction, and go-to-market strategy
- Built predictive models and ML-based segmentation pipelines on behavioural log data to identify churn risk, user archetypes, and feature engagement patterns
- Owned the full research lifecycle: question framing → study design → fieldwork → analysis → executive presentation
- Mentored data analysts and UX researchers on quantitative methods, research design, and data storytelling
- Collaborated with product, marketing, and C-suite to translate findings into testable product interventions
User Research User Experience Design Marketing Studies Pricing strategy Positioning strategy
LalTal
Research Scientist
TECH
September 2020 - May 2022 (1 year and 8 months)
San Francisco, CA, USA
- Led quantitative and qualitative UX research in a lean startup environment, driving hypothesis-driven product development
- Managed a collaborative research project with Brown University on misinformation in social networks
- Designed rapid concept-testing protocols to validate product decisions before engineering investment
AI and Advanced Analytics Product Launch Strategy User Experience Design User Research User Testing