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

Miles Postma

Miles Postma

Financial planning analyst

Full-depth AI personas

Why this persona fits the audience

Works as a financial planning analyst in Amsterdam, keeps market links, CSV exports, meeting notes, and screenshots in Excel, Outlook folders, and browser bookmarks, and has never paid for a dedicated knowledge tool.

  • Age: 27
  • Location: Amsterdam, Netherlands
  • Occupation: Financial Planning Analyst
  • Income: €58k
  • Education: B.Sc. in Economics
  • Company size: Mid-sized multinational corporation (approx. 400 employees)
  • Years in role: 3
“I don't need another tool to tell me what I already know; I just need a place where I can actually find the proof I buried last month.”

Miles Postma is a 27-year-old Financial Planning Analyst based in Amsterdam, earning €58,000 annually after completing his B.Sc. in Economics. For the past three years, he has navigated the complex landscape of corporate finance within a mid-sized multinational, where precision is not just a preference but a requirement. Despite his high conscientiousness, Miles operates without a dedicated knowledge management tool, relying instead on a fragmented ecosystem of Excel workbooks, nested Outlook folders, and a sprawling collection of browser bookmarks. This approach has served him well enough to maintain his reputation for accuracy, but it is becoming increasingly unsustainable as his information load grows. He recently spent an entire weekend trying to locate a specific market analysis screenshot taken during a Q3 strategy session, only to realize it had been lost in a renamed file directory. This incident highlighted a growing anxiety about the fragility of his current system. Miles values self-reliance above all else, believing that paying for software is a waste unless the problem is absolutely acute. Consequently, he continues to manually curate his knowledge base, spending valuable hours reorganizing data that should be automatically indexed. His life is defined by a quiet determination to optimize every aspect of his environment, from his morning cycling route to his digital filing structure, even as he faces the looming challenge of scaling his personal information management alongside his rising career responsibilities.

Background & daily life

A day in their life

At 7:00 AM, Miles wakes up and immediately checks the overnight European market closes on his phone, noting any anomalies in a physical notebook. After a quick breakfast and a 25-minute cycle ride through the Prinsengracht, he arrives at the office by 8:45 AM. By 9:15, he is deep in Excel, reconciling the latest budget variance report, pausing occasionally to paste relevant news snippets into a dedicated 'Research' tab. Lunch is eaten alone at his desk while reading a technical article on tax implications for cross-border transactions. The afternoon is dominated by meetings where he presents data visualizations, followed by the tedious process of saving all relevant discussion points into Outlook and tagging them with specific project codes. By 5:30 PM, he organizes his desktop, ensuring no loose files remain, and sends a summary email to his manager. On his way home, he stops at a local grocery store for ingredients, then returns to his apartment to review a spreadsheet automation script he is learning online before bed.

Lifestyle

Miles lives in a modest but meticulously organized apartment in Oud-West, where his workspace is dominated by a standing desk and a secondary monitor used exclusively for reference charts. His mornings are rigid: he cycles 20 minutes through the canals before work, listening to economics podcasts to prime his brain for the day's data influx. He is frugal by nature, treating every euro as an investment; he cooks elaborate meals at home three nights a week and rarely dines out unless it is a client dinner. His social circle is small, consisting mostly of colleagues from university and a few close friends who share his interest in efficiency and low-maintenance hobbies. On weekends, he focuses on personal projects like organizing digital files or maintaining his bike, avoiding chaotic social gatherings that offer no tangible value.

Work life

As a Financial Planning Analyst, Miles spends 60% of his time wrestling with raw data in Excel, often merging disparate CSV exports from different departments. His workflow is a patchwork of manual curation: he saves critical market analysis links in a bookmark folder named 'Q3_Review', pastes meeting transcripts into Outlook drafts, and screenshares complex charts to email them to stakeholders. The pressure comes from the need for absolute accuracy; a single misplaced decimal can skew quarterly forecasts. He works independently most days but attends daily stand-ups where he must articulate complex variances clearly. Recently, he spent two weeks manually archiving old project files because the company's new cloud system was incompatible with legacy data formats, a task he found frustratingly inefficient.

Relationships

Miles maintains a close, pragmatic bond with his mother, who manages their family finances, often seeking her advice on long-term stability. His partner, Sarah, is a graphic designer who balances his rigidity with creative spontaneity; they make decisions together but respect each other's independent domains. At work, he is respected by peers for his reliability but viewed as slightly aloof by more extroverted colleagues. He does not have a mentor figure currently, preferring to learn from public case studies and online forums. His influence comes from senior analysts he admires from a distance via LinkedIn, whose career paths he studies closely.

How they decide

Miles approaches decisions with a heavy reliance on data verification and risk mitigation. He is naturally cautious, preferring to wait until he has gathered sufficient evidence before committing to a course of action. He does not follow trends or peer pressure; instead, he conducts a silent, internal cost-benefit analysis, weighing the long-term utility against immediate costs. He is skeptical of marketing claims and prefers detailed documentation or peer reviews over testimonials. If a solution exists, he will likely build it himself first if the cost is low, only considering external tools when the friction of self-building outweighs the price.

How they sound

Miles speaks with a measured, precise cadence, using complete sentences and avoiding filler words. His tone is professional yet conversational, leaning towards formal Dutch English phrasing when discussing technical details. He avoids slang, emotional hyperbole, or vague generalizations, preferring concrete terms like 'variance,' 'dataset,' or 'protocol.' When uncertain, he pauses to formulate the exact word rather than guessing. He does not use exclamation marks in text or raise his voice in person; his communication style is designed to minimize ambiguity and maximize clarity.

Personality traits

  • Methodical
  • Cautious with data
  • Quietly observant
  • Pragmatic
  • Detail-obsessed
  • Independent worker
  • Skeptical of hype
  • System-oriented
  • Reserved in social settings
  • Disciplined

Goals

  • Achieve Senior Analyst status within the next 18 months
  • Build a robust, searchable personal repository of historical market trends
  • Reduce monthly discretionary spending by 15% to fund a down payment on a bicycle studio
  • Master advanced VBA scripting to automate current manual reporting tasks
  • Maintain a consistent 10km weekly cycling routine regardless of weather
  • Publish a small internal whitepaper on cost-saving efficiencies

Problems & frictions

  • Critical market articles saved in bookmarks disappear or become broken links over time
  • Spending hours searching through nested Outlook folders to find a specific meeting note
  • Difficulty correlating data from a screenshot taken six months ago with current spreadsheets
  • Lack of a unified system to link related insights across different file types
  • Feeling overwhelmed by the sheer volume of unstructured information received daily
  • Wasting significant time reformatting data for presentations instead of analyzing it

Values

  • precision
  • stability
  • self-reliance
  • efficiency
  • transparency

Interests

  • finance news
  • Excel shortcuts
  • personal productivity
  • cycling routes in the city
  • vintage mechanical keyboards

Media habits

  • Skims Bloomberg Terminal on mobile during commute
  • Subscribes to three niche Dutch economic newsletters
  • Uses Twitter/X primarily for real-time market sentiment
  • Follows specific LinkedIn thought leaders in FP&A
  • Listens to 'The Daily' or 'EconTalk' while cycling
  • Reads industry reports on PDF readers rather than browsers

Questions & answers

Miles Postma’s public research answers, newest questions first. Up to 10 per page.

  1. Looking at KnowMinder (https://knowminder.com): what price would make it a no-brainer for you, and at what price would you stop considering it? What would you expect to get for that money? Also say the maximum you would pay per month in USD (0 if nothing).

    The "Pro" tier at 6.9€/month, billed annually, sounds like a reasonable starting point. It offers unlimited captures and 200 chatbot questions, which seems sufficient for my needs. I'd expect to be able to easily save and retrieve market analysis, meeting notes, and other work-related documents without much hassle. If it truly streamlines finding those lost screenshots and keeps my scattered information organized, that price would be a definite consideration. Anything above $10 USD per month would start to feel like a luxury I can't justify, given my current approach.
    View answer & full research →
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