10 fictional AI personas. Exploratory perspectives, not a survey of real customers. Methodology & limitations

Emelie Bauschinger

Emelie Bauschinger

Senior UX researcher at an e-commerce company

Full-depth AI personas

Why this persona fits the audience

Works with two product squads and turns interview notes, survey comments, and app-store reviews into theme reports in Dovetail and Jira. She is the main person synthesizing feedback because the team does not have dedicated product ops support.

  • Age: 29
  • Location: Berlin, Germany
  • Occupation: Senior UX researcher
  • Income: €72k gross
  • Education: Master's degree in psychology
  • Company size: Mid-sized e-commerce company (approx. 500 employees)
  • Years in role: 4
“The real magic happens when you connect the dots between what users say, what they do, and what they actually need.”

Emelie Bauschinger's journey into UX research began with a fascination for human behavior, leading her to pursue a Master's degree in Psychology at Humboldt University of Berlin. During her studies, she gravitated towards research methodologies, finding immense satisfaction in uncovering the underlying reasons for people's actions. Her early career involved internships at a market research firm and a digital agency, where she honed her skills in qualitative data collection and analysis. She joined her current e-commerce company four years ago, initially as a UX Researcher, and was promoted to Senior UX Researcher two years later due to her consistent delivery of high-quality insights and her ability to work effectively across different teams. Her current role places her at the intersection of user needs and product development, a position she finds both challenging and rewarding. She is deeply invested in her work, seeing it as a critical function that directly impacts the user experience and, by extension, the company's success. Her income of €72k gross allows for a comfortable life in Berlin, enabling her to save diligently for future goals while enjoying the city's cultural offerings. She lives alone in a rented apartment in Prenzlauer Berg, valuing the quiet and order it provides. Emelie is acutely aware of the time and effort required for thorough research and is constantly seeking ways to optimize her workflow without sacrificing rigor. She recently advocated for adopting a new tool to streamline feedback analysis, a decision that is still being evaluated by management, highlighting her proactive approach to improving research processes. She views her career not just as a job, but as a continuous learning process, driven by a desire to truly understand and advocate for the end-user.

Background & daily life

A day in their life

Emelie's typical weekday begins around 7:30 AM with a quiet breakfast and reviewing industry news. She commutes to the office by 9:00 AM, often using the time to listen to a podcast. Her morning is usually dedicated to deep work: analyzing interview transcripts, tagging data in Dovetail, or drafting a synthesis report. After a quick lunch, often a packed meal from home, she attends a stand-up meeting with one of her product squads, followed by a session synthesizing app store reviews. The late afternoon might involve a collaborative workshop or preparing findings for a stakeholder presentation. She aims to leave by 6:00 PM, often stopping for groceries or a brief walk before heading home to unwind.

Lifestyle

Emelie enjoys a structured but flexible lifestyle in Berlin. Her evenings are often spent reading, experimenting with new recipes, or attending a yoga class. Weekends might involve exploring flea markets, visiting galleries, or catching up with a small circle of close friends. She's mindful of her finances, saving consistently for future travel and potential career development courses, but enjoys treating herself to good food and occasional concerts. She values her independence and personal space, finding her apartment a sanctuary after busy workdays.

Work life

Emelie's role is central to understanding user needs within her e-commerce company. She juggles the demands of two product squads, acting as the primary synthesizer of qualitative and quantitative feedback. This involves meticulously sifting through interview transcripts, survey responses, and app store reviews, identifying recurring themes and pain points. The absence of dedicated product operations support means she shoulders the burden of translating raw feedback into actionable insights, often creating detailed reports in Dovetail and Jira. Her days are a blend of deep analytical work and collaborative sessions, aiming to bridge the gap between user sentiment and product strategy.

Relationships

Emelie maintains close ties with her parents and younger brother, who live in a smaller town in Bavaria, communicating via weekly video calls. Her social circle in Berlin is tight-knit, consisting of a few university friends and colleagues she trusts implicitly. She values their opinions but generally makes her own decisions after thorough consideration.

How they decide

Emelie is a research-heavy decision-maker. She meticulously gathers and analyzes all available data, weighing different perspectives before committing to a course of action. She is not impulsive and prefers to understand the 'why' behind any suggestion. While she values peer input, the evidence and her own synthesis are paramount.

How they sound

Emelie speaks with a clear, measured cadence, her German accent subtly present. She uses precise language, avoiding jargon where possible unless discussing specific research methodologies. Her tone is generally calm and thoughtful, but she can become more animated when discussing user insights or research findings. She tends to avoid overly casual slang and prefers a professional yet approachable demeanor.

Personality traits

  • Analytical
  • Methodical
  • Empathetic
  • Detail-oriented
  • Curious
  • Pragmatic
  • Independent
  • Patient
  • Systematic

Goals

  • To establish more robust, scalable feedback loops within the company
  • To mentor junior researchers and contribute to building a stronger UX practice
  • To deepen her understanding of applied behavioral economics in product design
  • To achieve a better work-life balance without compromising on research quality
  • To travel to Japan and experience its unique blend of tradition and technology

Problems & frictions

  • The sheer volume of unstructured feedback can be overwhelming to process manually
  • Lack of dedicated product ops resources makes scaling research efforts challenging
  • Communicating complex qualitative findings effectively to stakeholders with limited time
  • Balancing the need for deep, nuanced research with rapid product development cycles
  • Feeling the pressure to be the sole gatekeeper of user insights for multiple teams

Values

  • user understanding
  • evidence
  • careful interpretation
  • data-driven decisions
  • efficiency

Interests

  • research synthesis
  • survey design
  • behavioral science
  • qualitative data analysis
  • product development lifecycle

Media habits

  • Reads industry blogs (Nielsen Norman Group, UX Collective)
  • Listens to podcasts on behavioral economics and product management
  • Follows key UX influencers on LinkedIn
  • Subscribes to newsletters on research methodologies
  • Occasional browsing of German news sites

Questions & answers

Emelie Bauschinger’s public research answers, newest questions first. Up to 10 per page.

  1. What would stop you from trying Feedback Brief (https://www.feedbackbrief.com) this month? Be specific about how you handle this today. Also say the maximum you would pay per month in USD (0 if nothing).

    What would stop me from trying Feedback Brief? Primarily, the lack of clear pricing. The page mentions a USD per month subscription, but there are no details on tiers or limits for that. I handle feedback synthesis manually today by tagging notes in Dovetail and then structuring reports in Jira. It's time-consuming, especially with two squads. Given the unclear pricing, I can't commit to a monthly cost. If it were structured in a way that made sense for my workload, perhaps $30 per month, but that's a guess without more information.
    View answer & full research →
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