Alma Bashirian

Why this persona fits the audience

Supports a 16-person fintech SaaS team in Manchester and is the person who cleans up incoming requests from support, sales, and product. She currently maintains the request log in Canny, checks duplicate entries, and prepares a monthly summary for the PM and CEO.

• Age: 31
• Location: Manchester, UK
• Occupation: Product Operations Manager
• Income: £58k base
• Education: Bachelor's degree in information systems
• Company size: 16
• Years in role: 2

“The real magic happens when you can turn chaos into clarity, and raw feedback into a roadmap that actually makes sense.”

Alma Bashirian, 31, has carved out a critical niche for herself as the Product Operations Manager at a burgeoning fintech SaaS startup in Manchester. Holding a Bachelor's degree in Information Systems, she possesses a strong foundation in understanding how technology can streamline operations. Her journey into product operations wasn't a direct path; after a few years in a more general IT support role, she found herself drawn to the analytical side of product development, particularly the challenge of organizing and making sense of user feedback. This led her to her current role, where she's been for two years, building the operational framework from the ground up. Her income of £58k reflects her growing expertise and the vital nature of her function within the company. Alma is deeply committed to process discipline, believing that well-defined workflows are the bedrock of efficient product development. She thrives on establishing visible priorities and ensuring steady delivery, finding immense satisfaction in bringing order to what can often be a chaotic influx of information. Her conscientiousness score of 0.89 is evident in her meticulous approach to maintaining the request log in Canny, her rigorous checking of duplicate entries, and her detailed preparation of monthly summaries for the product team and CEO. She sees her role as the crucial bridge between customer feedback and product strategy. Recently, she championed the adoption of a new tagging system within Canny to better categorize feature requests by customer segment and potential business impact, a decision that required careful explanation and buy-in from the sales and support teams. This initiative aims to provide more nuanced insights for the upcoming roadmap planning. She also recently spent a significant amount of time refining her spreadsheet skills, creating more dynamic dashboards to visualize request trends, moving beyond simple counts to show velocity and sentiment. Her personal life is grounded in routine and a love for the outdoors; she lives with a flatmate in Chorlton and prioritizes weekend hikes to decompress. She views her career progression through the lens of building expertise and contributing tangible value, rather than chasing status symbols. Her relationship with time is one of careful management, always looking for ways to optimize her own workflow to create more space for strategic thinking and personal pursuits. Money is a tool for security and enabling experiences, not an end in itself, reflected in her diligent saving habits.

Background & daily life

A day in their life

Alma's typical weekday starts around 7:00 AM with a quick check of urgent emails and Slack messages before making coffee and preparing breakfast. She commutes to the Manchester office by 8:30 AM, using the time to listen to a podcast. Her morning is dedicated to processing the backlog of incoming feature requests, meticulously logging them in Canny, identifying duplicates, and tagging them appropriately. After a working lunch, she spends the afternoon refining her monthly summary report for the PM and CEO, analyzing request trends and preparing data visualizations. She might have a brief sync with a product manager to clarify request details. She aims to leave by 5:30 PM, often stopping at the gym or for a quick grocery run before heading home to cook dinner.

Lifestyle

Alma lives in a rented two-bedroom flat in Chorlton, Manchester, sharing with a friend from university. Her weekdays are structured, revolving around her demanding role. Evenings are typically spent cooking a healthy meal, catching up on emails, or occasionally attending a local tech meetup. Weekends are her escape: long hikes in the Peak District or Lake District are a priority, often with her partner or a small group of friends. She's mindful of her spending, preferring experiences over material possessions, and diligently saves a portion of her income. Socially, she enjoys quiet nights in with friends or exploring Manchester's growing food scene.

Work life

As the sole Product Operations Manager for a fast-growing fintech SaaS startup, Alma is the central hub for all incoming product requests. Her days are a constant juggle between meticulously logging and de-duplicating feedback from support tickets, sales calls, and direct product input channels, primarily using Canny. She spends significant time refining spreadsheets for monthly reporting to the CEO and Head of Product, ensuring clarity on feature request volume and trends. The pressure is on to maintain order amidst rapid growth, with a constant stream of new requests and the need to ensure nothing falls through the cracks. She collaborates closely with the product managers and engineers, translating raw feedback into actionable insights.

Relationships

Alma is close with her parents, who live in the South of England, and speaks to them weekly. Her core social circle consists of a few university friends, including her flatmate, and her partner, who works in marketing. She values their opinions and often discusses work challenges with her partner. Her direct manager, the Head of Product, is a key professional influence, as is the CEO, whose strategic vision she respects.

How they decide

Alma is a methodical researcher. When faced with a decision, especially regarding tools or processes, she will gather information from multiple sources, compare options systematically, and often create a pros-and-cons spreadsheet. She values evidence and clear logic, preferring to understand the 'why' behind a recommendation before committing. Peer recommendations carry some weight, but only if they are backed by solid reasoning and data.

How they sound

Speaks with a clear, measured cadence. Her tone is generally professional and polite, but can become more direct when discussing process or data. She avoids overly casual slang or jargon, preferring precise language. She's not afraid to ask clarifying questions to ensure understanding. Her accent is a standard Northern English, without strong regionalisms.