Why this persona fits the audience
At a 250-person HR software firm in Berlin, she runs quarterly pricing studies for two product lines and already uses Price Intelligently on a retainer to handle Van Westendorp and Gabor-Granger research, then hands the output to product and finance.
- Age: 29
- Location: Berlin, Germany
- Occupation: Pricing Analyst
- Income: €72k base plus bonus
- Education: Master's in economics
- Company size: 250
- Years in role: 3
“I tell my spreadsheets what I need to hear, not what I want to believe.”
Josie Fenske grew up in Hamburg analyzing everything from her parents' grocery bills to her own ). After earning her Master's in economics from the University of Mannheim, she took a job at Berlin HR-tech firm PersonaHR that was nearly twice as large as any company she'd previously encountered. Three years in, she's built herself into the de facto pricing authority, though she still battles with what she calls 'the two worlds of pricing' - the data-driven world she inhabits and the intuition-driven world of executives. Her quarterly pricing studies through Price Intelligently have become institutionalized, though she's starting to feel constrained by their tool's limitations. Her recent successful pricing adjustment for their enterprise SaaS product (a 12% increase that added €1.2M ARR) was followed by a company-wide presentation where she had to explain the method behind the madness to skeptical sales teams. She spends weekends testing new data visualization tools and has become something of an evangelist for Tableau's storytelling features among her peers. Her biggest professional struggle is reconciling her analytical nature with corporate politics - she recently created a 'price change impact protocol' document to ensure future adjustments would follow a standardized data-driven process. Outside work, her life follows equally rigorous patterns, from her daily running routes to her four-week rotating lunch prep schedule. She's currently debating whether to pursue a certification in behavioral economics or invest in a more advanced data visualization setup. Her personal philosophy centers around what she calls 'rational transparency' - making every decision visible to itself, whether financial, professional, or athletic. This self-awareness extends to her wardrobe (she owns three identical pairs of black work shoes) and her relationships (she screenshots particularly persuasive arguments from colleagues to analyze later). While she occasionally dreams of starting her own pricing consultancy, her immediate focus remains on building PersonaHR's pricing infrastructure to a point where her role becomes indispensable. Josie's professional identity is deeply tied to the idea of 'evidence as currency' - what she considers her most valuable contribution is helping the company spend its decision-making budget as precisely as possible.
Background & daily life
A day in their life
5:45 AM - Alarm. 6:15 AM - 10k run through Tempelhofer Feld. 7:30 AM - Oatmeal with exactly 15g almond butter, shower timed to 6 minutes. 8:15 AM - Commutes by bike, listening to 'The Pricing Page' podcast. 9:00 AM - Starts with email inbox triage, color-coding messages by urgency. 10:30 AM - pores over recent target customer survey data. 12:00 PM - Lunch of pre-portioned salad from Thursday's meal prep. 1:00 PM - Presentation to product team about price elasticity adjustments. 3:30 PM - Fixes chart formatting in last quarter's pricing report. 5:45 PM - Starts writing weekly pricing digest for executives. 7:30 PM - Returns home, rehydrates, prepares lunch for tomorrow. 8:00 PM - Watches cycling documentary while using resistance bands. 9:30 PM - Audits her personal budget spreadsheet. 10:30 PM - Reads 20 pages of behavioral economics research before bed.
Lifestyle
Josie maintains a strict runner's rhythm - 6:15 AM alarm, 10k before breakfast, shower timed to Berlin's sub-40-liter water use recommendations. Her Prenzlauer Berg apartment is purposefully uncluttered, with a single IKEA Kendal table housing both work laptop and a meticulously alphabetized bookcase of econ primers. Saturday mornings are dedicated to grocery delivery audits (scrutinizing unit prices, of course). She volunteers one evening per week at a cycling advocacy group but otherwise avoids social media, preferring 1:1 coffee chats with colleagues. Her finances follow a 50/30/20 principle, though the 20% often gets rerouted to unexpected pricing software upgrades she sells to her boss as 'competitive necessities.'
Work life
Her days alternate between developing pricing models in Excel (never Google Sheets - 'version control is non-negotiable') and fielding questions from product teams about why the latest features won't support higher pricing. She's currently optimizing the pricing strategy for their B2B SaaS products, having just successfully defended a 12% increase against pushback from sales. Her biggest frustration is how often executive decisions override her data, but her new system of 'annotated pdf rebuttals' has improved compliance. She runs quarterly pricing studies through Price Intelligently, though she's starting to chafe at their interface limitations. Her desk has three monitors arrayed in a triangle formation, each dedicated to different workflows she switches between like channels.
Relationships
Josie's parents, both academics in Hamburg, respect her career but gently mock her 'premium spreadsheet 'habits.' Her close friend group consists of other data professionals from her gym, who she meets for biweekly brunch debates about whether pricing is an art or science. She has a complicated relationship with her boss (a charismatic but data-skeptical ex-consultant) but maintains professionalism through meticulous documentation. Her only romantic relationship in the past year was with a freelance developer who understood her spreadsheets but lacked her analytical rigor - it didn't work out.
How they decide
Research-heavy, requiring multiple data points to reach consensus. Prefers to test assumptions extensively before committing. Dislikes making decisions under pressure and will delay rather than act on incomplete information. Values transparency in the decision-making process and documents her reasoning exhaustively.
How they sound
Speaks in precise, flowing sentences with occasional self-interruptions to correct assumptions. Uses formal business German at work but drops into casual Berlin slang with close colleagues. Avoids vague language - 'ballpark' and 'approximately' only appear in presentations for executive audiences. Her emails include exact references to data sources and timestamps. When frustrated, she'll say 'That violates basic pricing principles' rather than using stronger language. Her public speaking has a deliberate pace and deliberate pauses before key points.
Personality traits
- Organizes her spreadsheet templates with military precision
- Briefly panics when data sources conflict but recovers quickly
- Will not report anything unless she's 95% confident in the model
- Premeditates conversations with product teams to avoid misunderstandings
- Runs morning data checks in running clothes before showering for work
- Keeps a printout of Berlin's monthly public transit fares as a mental benchmark
- Moves spreadsheets into folders with timestamps she checks twice
- Holds back sharp opinions during meetings unless directly asked
- Lets presentation slides sit overnight before finalizing
- Buys exact same black work shoes in duplicate upon noticing wear
Goals
- Become head of pricing within 5 years
- Run a half-marathon in under 1:50
- Bridge the gap between her data and executive decision-making
- Develop a proprietary pricing model that's adopted across the company
- Save enough to buy a small Berliner apartment by 35
Problems & frictions
- Sales team contradicts her pricing research with 'market intuition'
- Product managers don't trust models built on data they didn't collect
- Feels she's constantly firefighting instead of building systematic pricing infrastructure
- Struggles with time management between multiple product lines
- Tasked with translating complex pricing models for non-quantitative colleagues
- Her current software's UI slows down iterative testing
Values
- rigor
- reliability
- transparency
- efficiency
- data-driven decision-making
Interests
- A/B testing
- data visualization
- long-distance running
- minimalist design
- user research
Media habits
- listens to NPR-style German podcasts during commute
- reads Harvard Business Review for pricing theory
- follows pricing bloggers like Patrick Campbell
- watches cycling documentaries on Netflix