Susie Feest

Why this persona fits the audience

She leads a 4-person team testing several B2B workflow ideas, and because her background is ops, she keeps the validation process tight: one landing page per concept, a small traffic burst, then a side-by-side readout of signups and intent.

• Age: 38
• Location: Seattle, WA, USA
• Occupation: Operations lead and bootstrapped founder
• Income: USD 145k plus equity
• Education: M.S. in information systems
• Company size: 4 people (including herself)
• Years in role: 6 years as Ops Lead at tech firm; 18 months as solo founder

“I don't build things to see if they work; I build things to prove they shouldn't exist, and then I keep the ones that do.”

Susie Feest is a 38-year-old operations specialist and serial validator operating out of Seattle, Washington. With an M.S. in Information Systems, she leverages her academic background to apply rigorous statistical methods to the chaotic world of early-stage startups. Currently employed as an Operations Lead at a regional tech firm, she supplements her income and drives her primary ambition as a bootstrapped founder. She manages a lean, four-person team dedicated to stress-testing B2B workflow hypotheses. Unlike many founders who fall in love with their solutions, Susie approaches product development with a clinical detachment, viewing failure as a necessary data point rather than a setback. Her methodology is disciplined: she constructs a single landing page for each concept, injects a targeted burst of traffic, and meticulously compares signup rates against explicit intent signals. This approach allows her to kill unviable ideas before writing a single line of code, preserving her limited capital. She resides in a shared housing arrangement in Ballard, a choice made specifically to maximize her runway. Her daily routine is a study in compartmentalization, shifting seamlessly from corporate problem-solving to entrepreneurial experimentation. She is deeply skeptical of 'growth hacking' tactics that lack substance, preferring slow, sustainable validation over viral spikes. Her workspace is a testament to her values: minimalist, clutter-free, and dominated by spreadsheets that track every cent and click. Despite the pressures of balancing a full-time job with building a business, she remains stoic, driven by a profound desire for clarity and the autonomy that comes from owning a profitable, self-sustaining asset.

Background & daily life

A day in their life

Susie wakes up at 5:30 AM for a run around Lake Union, using the hour to mentally separate her corporate responsibilities from her startup ambitions. By 7:30 AM, she is logging into her work email, handling HR queries and operational bottlenecks for her day job. Lunch breaks are strictly utilitarian; she eats a meal prep container while reviewing the latest cohort data from her landing page tests. After 6:00 PM, she transitions to 'Founder Mode,' conducting a 30-minute sync with her remote team and then diving into deep work. She spends two hours manually auditing conversion funnels and tweaking copy on three different landing pages. Dinner is eaten quickly while listening to a podcast on SaaS unit economics. Before bed at 10:00 PM, she updates her master tracker, ensuring every metric is logged, before turning off the lights to prepare for another early start.

Lifestyle

Susie lives in a renovated craftsman home in Seattle's Ballard neighborhood, sharing costs with two roommates to maintain capital for her venture. Her weekends are split between long-distance hikes in the Cascades to clear her head and intense blocks of time spent refining spreadsheets. She treats money with extreme thriftiness, viewing every dollar spent on software as an investment that must yield measurable returns. Socially, she prefers low-energy gatherings with close friends who understand her dual life as a corporate employee and founder. She prioritizes health through consistent morning runs and avoids alcohol-heavy social events, preferring early mornings where she can control her environment. Her financial discipline extends to her personal life; she tracks every expense and negotiates all subscriptions annually.

Work life

Her days are bifurcated: mornings dedicated to her Operations Lead role managing logistics for a mid-sized tech firm, afternoons and evenings consumed by her own bootstrapped experiments. She works from a standing desk setup in a quiet corner of her apartment, surrounded by multiple monitors displaying real-time analytics dashboards. The pressure comes from the need to validate three distinct B2B concepts simultaneously without burning out or running out of runway. She relies heavily on Google Sheets and basic no-code tools, often manually stitching together data sources because she refuses to pay for expensive platforms until she has proven ROI. Her team of three contractors reports directly to her, requiring her to be the primary architect of their workflows and the final gatekeeper of any feature launch.

Relationships

Susie maintains a tight-knit circle of five close friends, mostly fellow entrepreneurs or operations professionals who value directness over pleasantries. She has a supportive relationship with her parents, though they worry about her career instability. Her most influential relationships are professional, formed in Slack communities and local meetups where she trades tips on tool stacks and validation strategies. She rarely seeks emotional support regarding her business struggles, preferring to solve problems independently before discussing them with peers. Her roommates respect her boundaries, knowing her late-night spreadsheet sessions are non-negotiable.

How they decide

Susie operates on a hypothesis-driven framework, treating every decision as an experiment with a defined success metric. She is inherently cautious with spending, refusing to commit funds until she sees hard data proving utility. Her process involves gathering baseline data, running a small-scale test, analyzing the variance, and only then making a full commitment. She dislikes ambiguity and will often delay a decision rather than make a guess based on gut feeling. Peer validation matters, but only if backed by concrete numbers she can verify herself.

How they sound

Susie speaks in short, declarative sentences, avoiding filler words and emotional qualifiers. Her cadence is steady and measured, reflecting her internal need for order. She uses industry-specific terminology like 'signal-to-noise ratio' and 'burn multiple' casually, assuming her audience understands the context. She avoids vague adjectives like 'maybe' or 'hopefully,' replacing them with specific probabilities or data points. When explaining complex processes, she defaults to analogies involving machinery or logistics. She is polite but distant, prioritizing clarity over warmth in professional settings.