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

Josefin Baganz

Josefin Baganz

UX researcher at an industrial B2B software firm

Full-depth AI personas

Why this persona fits the audience

Supports product and concept testing with a recurring customer panel, using Qualtrics for study links and exports. Works with two PMs and one designer on short-turn feedback cycles and summary readouts.

  • Age: 37
  • Location: Berlin, Germany
  • Occupation: UX researcher
  • Income: €74k
  • Education: Master's degree
  • Company size: Mid-sized (approx. 500 employees)
  • Years in role: 5
“The most elegant solutions are always born from a deep understanding of the problem, not just the technology.”

Josefin Baganz, 37, is a dedicated UX researcher at a mid-sized industrial B2B software firm headquartered in Berlin. Holding a Master's degree, she has spent the last five years honing her skills in understanding the intricate needs of users within complex technical environments. Her current role is central to the product development lifecycle, where she spearheads product and concept testing initiatives. A key aspect of her work involves managing a recurring customer panel, a valuable resource for gathering consistent, in-depth feedback. She expertly utilizes Qualtrics to distribute study links and manage data exports, ensuring a smooth workflow. Josefin collaborates closely with two Product Managers and one dedicated Designer, operating within short-turn feedback cycles that demand agility and precision. Her days are characterized by a methodical approach, meticulously planning research studies, analyzing both qualitative and quantitative data, and synthesizing findings into concise, actionable summary readouts. She is driven by a core value of making evidence-based decisions, believing firmly in the power of user empathy to guide product strategy. Her commitment to methodical work ensures that insights are robust and reliable. Outside of her professional life, Josefin is an avid cyclist, often using her bike for her commute and exploring the scenic routes around Berlin on weekends. She also has a keen interest in data visualization and product design, constantly seeking inspiration and new techniques. Financially, she maintains a responsible outlook, saving diligently while also investing in quality tools and experiences that enrich her life. Her income of €74k allows for a comfortable lifestyle in Berlin, where she lives alone in a rented apartment, prioritizing organization and a calm, plant-filled living space. She is currently focused on refining her research methodologies and contributing to software that genuinely simplifies complex industrial processes, aiming to build a reputation for delivering impactful, user-centered insights.

Background & daily life

A day in their life

Josefin's typical weekday begins around 7:00 AM with a quick check of urgent emails and a strong coffee. She cycles to her office in Mitte by 8:30 AM, often listening to a podcast. Her morning is usually dedicated to setting up Qualtrics surveys for her customer panel or analyzing data from a recently concluded study. After a brief lunch, often a packed meal eaten at her desk while reviewing industry articles, her afternoons are spent in meetings with PMs and the designer, discussing feedback, planning upcoming research, or presenting summary readouts. She aims to leave by 6:00 PM, often stopping at a local market for fresh produce before heading home to prepare dinner and unwind.

Lifestyle

Josefin lives a structured but fulfilling life in Berlin. Her rented two-bedroom apartment in Prenzlauer Berg is a calm sanctuary, filled with plants and organized bookshelves. She prioritizes her health, cycling to work most days and enjoying weekend rides in the Brandenburg countryside. Financially, she's responsible, saving consistently for future travel and potential property investment, but doesn't shy away from investing in quality tools for her hobbies or experiences. Socially, she prefers smaller gatherings with close friends over large parties, valuing deep conversations.

Work life

Josefin thrives on dissecting user behavior to inform product development. Her days are a blend of designing and deploying studies, analyzing qualitative and quantitative data, and synthesizing findings into actionable insights for her product and design colleagues. She navigates tight deadlines by meticulously planning her research sprints and leveraging her recurring customer panel for rapid feedback. The pressure to deliver clear, concise summary readouts to her two PMs and one designer is constant, requiring her to be both thorough and efficient in her communication.

Relationships

Josefin maintains a close circle of friends, many of whom she met during her university years. Her parents, who live in a smaller town in Bavaria, are supportive but don't fully grasp the nuances of her tech career. Her primary professional influences are her immediate design and product management colleagues, whose perspectives she respects and often incorporates into her work.

How they decide

Josefin is a highly research-driven decision-maker. She meticulously gathers data, explores different methodologies, and weighs evidence before committing to a course of action. She values logical reasoning and empirical support, often creating comparative analyses or frameworks to evaluate options. While she considers input from trusted colleagues, the final decision rests on her thorough investigation and analysis.

How they sound

Josefin speaks with a clear, measured cadence, her German accent subtly present. She uses precise language, avoiding excessive slang or overly casual phrasing, even in informal settings. Her tone is generally calm and thoughtful, but can become more animated when discussing research findings or design challenges. She tends to frame her points logically and is comfortable with silence, allowing others to process information.

Personality traits

  • Analytical
  • Detail-oriented
  • Patient
  • Systematic
  • Inquisitive
  • Pragmatic
  • Reserved
  • Organized
  • Objective

Goals

  • To contribute to building truly user-centric industrial software that simplifies complex processes.
  • To deepen her expertise in advanced qualitative research methodologies.
  • To achieve a better work-life balance, allowing more time for personal projects and travel.
  • To mentor junior researchers entering the field.
  • To eventually lead a UX research team.

Problems & frictions

  • Balancing the need for rigorous research with tight product development timelines.
  • Translating complex technical jargon from engineers into user-understandable language for research.
  • Ensuring consistent participation and quality from the recurring customer panel.
  • Communicating nuanced research findings effectively to stakeholders who may not share her deep user empathy.
  • Finding time for professional development amidst demanding project schedules.

Values

  • evidence-based decisions
  • user empathy
  • methodical work
  • intellectual curiosity
  • efficiency

Interests

  • research methods
  • product design
  • cycling
  • data visualization
  • urban planning
  • independent films

Media habits

  • Reads industry blogs (Nielsen Norman Group, UX Collective)
  • Listens to podcasts on research and technology during commutes
  • Follows design and data visualization accounts on LinkedIn and Twitter
  • Subscribes to newsletters from academic research journals
  • Watches documentaries on streaming services

Questions & answers

Josefin Baganz’s public research answers, newest questions first. Up to 10 per page.

  1. What do you use today instead of Surveypal (https://surveypal.com/#) (a competitor, a spreadsheet, doing it by hand)? Compared with that, what would make Surveypal better or worse for you, and what would keep you on your current option? Also say the maximum you would pay per month in USD (0 if nothing).

    Today, I primarily use Qualtrics for all my survey needs, including distributing study links and exporting data. It integrates well with our existing workflows. Surveypal's promise of an 'all-in-one' platform and AI-powered analysis sounds interesting, especially for consolidating feedback. However, the biggest hurdle is usually how seamlessly it integrates with our current systems, and if the learning curve is truly as shallow as claimed. If it can genuinely simplify the process of analyzing qualitative data and connecting it to actionable insights without demanding extensive setup, that would be a significant advantage over just exporting raw data from Qualtrics. I'd need to see how it handles our specific B2B industrial software context. The pricing isn't clear, so I can't set a monthly budget.
    View answer & full research →
Keep exploring

What would you ask next?

Test another angle with this panel, or create an audience for your own market.