Senior User Researcher · Product Analyst

Turning messy human data into product decisions.

Senior researcher and analyst at Ericsson in Stockholm, pairing mixed-methods user research with advanced statistics to help teams ship products people actually want to use.

8+
years in research
4
languages spoken
20+
peer-reviewed talks

Currently

Senior User Researcher at Ericsson — Design & User Experience.

  • A/B testing & experimentation for telecom products
  • NPS, driver models, segmentation
  • PowerBI dashboards for senior stakeholders
Stockholm, Sweden

About

From the lab to the product team.

I trained as a psychologist (University of Queensland, 2016) and earned my PhD as part of the Marie-Curie ITN ANIMATAS, studying robot failures in child–robot interactions. After postdocs in Paris and at KTH, I moved into industry to work on the products people actually touch every day.

Today I sit between research, data, and design — running experiments, modelling behavioural data, and translating what users do into recommendations product and engineering teams can act on. I care about rigour, honesty about uncertainty, and clear communication.

Experience

Selected roles

Eight years across academia and industry — psychology, robotics, and product research.

  1. Feb 2025 — Present

    Senior User Researcher

    Ericsson · Design and User Experience, Stockholm

    • Partner with product managers, designers, and engineers in agile teams to ship data-driven insights for digital and physical products.
    • Design and analyse A/B tests and experiments to measure the impact of product and experience changes.
    • Deploy NPS and other CX measurements to track engagement and satisfaction over time.
    • Extract, clean, and combine raw data from multiple sources in R and SQL; surface findings through PowerBI dashboards for senior stakeholders.
  2. Jun 2022 — Feb 2025

    Postdoctoral Researcher

    KTH Royal Institute of Technology · Robotics, Perception, and Learning

    • Led concurrent research projects, supervised MSc and PhD students, and presented to academic and industry stakeholders.
    • Applied multilevel modelling, regression, meta-analyses, and latent variable mapping in R.
    • Designed A/B tests and surveys with engineers and computer scientists across interdisciplinary teams.
  3. Nov 2021 — May 2022

    Postdoctoral Researcher

    Université Paris 8 · CHArt Laboratory, Paris

    • Advanced statistical analyses in R and Python across multiple projects.
    • Co-authored a book chapter introducing statistics for roboticists in Python.
  4. Jun 2018 — Oct 2021

    PhD Candidate, Psychology

    Jacobs University, Bremen · Marie-Curie ITN ANIMATAS

    • Doctoral research on the conceptualisation and measurement of robot failures in child–robot interactions.
    • Experimental design, quantitative methods, and statistical analysis.
  5. Jan 2017 — Aug 2017

    Behavioural Scientist

    Evidn, Brisbane

    • User research in a behavioural-science start-up incubator.

Toolkit

What I bring to a team

Analysis

  • Data wrangling
  • Conjoint & MaxDiff
  • Segmentation (cluster, latent profiles)
  • Driver models
  • Data visualisation

Stack

  • R / RStudio
  • SQL · Snowflake
  • Python
  • PowerBI
  • SPSS
  • Git · Figma · LaTeX

Methods

  • A/B testing & experiments
  • Surveys & NPS
  • Interviews & thematic analysis
  • Multilevel modelling
  • Meta-analysis

Ways of working

  • Agile, cross-functional teams
  • Stakeholder communication
  • Supervising researchers
  • Mixed-methods synthesis

Project involvement

A few things I've worked on

Product analyticsSept 2025 — Present

Developer Experience at Ericsson

Multi-source analysis of an internal tool migration across ~4,000 users, combining survey and ticketing data to demonstrate higher NPS and efficiency gains.

UX researchFeb 2025 — Present

Telecom hardware & software usability

Mixed-methods usability programme across Ericsson products — interviews and thematic analysis paired with surveys and A/B testing.

Applied research2022 — 2025

S-Factor · TECoSA · PerCorSo

Three concurrent research programmes on trustworthy, socially acceptable autonomous and edge systems with academic and industry partners.

PhD2018 — 2021

ANIMATAS (Marie-Curie ITN)

EU Horizon 2020 training network on intuitive human–machine interaction. PhD on robot failures in child–robot interactions.

Featured portfolio

Human–robot interaction research

Download portfolio (PDF)
A VR Framework for Correcting Robot Errors
VR · Robotics · HRI 2023 / RO-MAN

A VR Framework for Correcting Robot Errors

Evaluated the benefits of a VR interface over commercially available technologies for correcting robot perception errors, informing future interface design.

Participant experience

  1. 01Robot fails to detect an object in the real environment
  2. 02User adds missing object(s) via the VR interface
  3. 03Virtual robot plans a trajectory; user approves or modifies
  4. 04Real-world robot executes the corrected movement
Analyse dataPresent resultsInterdisciplinary collaborationSupervision

Wozniak, Stower, Jensfelt & Pereira (2023). Happily Error After. RO-MAN.

Drone Fail Me Now
Drones · Trust · HRI 2024 (Honorable Mention)

Drone Fail Me Now

User study measuring how real-world drone failures affect trust and risk-taking decisions in a navigation game.

Participant experience

  1. 01Participant navigates a drone using a tablet
  2. 02Drone makes an error displayed on the tablet
  3. 03Participant chooses the next checkpoint (risk-taking)
  4. 04Trust in the drone measured via questionnaire
Study designAnalyse dataPresent resultsSupervision

Rahimzadagan, Vahs, Leite & Stower (2024). HRI 2024 LBR — Honorable Mention.

Robot Travel Agent for Multi-Modal HRI
Social robotics · Multimodal · RO-MAN / IJSR

Robot Travel Agent for Multi-Modal HRI

Fully autonomous travel-planning interaction with the Pepper robot, comparing self-reported attitudes with observed behaviour across multimodal cues.

Participant experience

  1. 01Greeting, distance calibration, robot offers water
  2. 02Robot asks preferences with backchannelling
  3. 03Robot gives a travel recommendation
  4. 04Closing — wave goodbye
Mixed-methods analysisCross-institutional collaborationMultimodal behaviour coding

Stower et al. (2022). Does what users say match what they do? RO-MAN.

Talks

Selected speaking

Invited seminars and public talks for academic, industry, and general audiences.

  • Feb 2025

    Psychology and Robotics

    PsyFi — Uppsala

  • Dec 2024

    Righting Robot Wrongs: the psychology of robot failures

    University of Melbourne

  • Oct 2024

    Social Norms and Robot Flaws

    KVIT Conference — Linköping

  • Oct 2024

    Good Robots Don't Do That

    ERCIM Beyond Compliance — Budapest

  • May 2024

    Nobody's perfect, not even your robot

    TEDxKTH Salon: Facets of AI

  • Jun 2023

    Happily Error After

    INESC-ID, Instituto Superior Técnico — Lisbon

Publications

Selected peer-reviewed work

Full list on Google Scholar

* Equal contribution.

Contact

Let's talk research, data, or robots.

Open to collaborations, speaking invitations, and conversations about user research, experimentation, and product analytics.

© 2026 Rebecca StowerEnglish · Français · Svenska · Deutsch