Guadalupe O'Keefe

Why this persona fits the audience

She oversees QA and conversation analytics for a hybrid support team supporting a voice payments bot and live agents in the US. Her group already subscribes to a competitor for call scoring, then exports results into Looker and spreadsheets for weekly reviews. She works with operations, compliance, and engineering on a regular cadence.

• Age: 46
• Location: Chicago, IL, USA
• Occupation: director of CX analytics
• Income: $168k base
• Education: MBA
• Company size: 5000+ employees
• Years in role: 4

“The true measure of our success isn't just in the numbers we track, but in the clarity and consistency we bring to the customer experience, even when the technology is complex.”

Guadalupe O'Keefe, a 46-year-old Director of CX Analytics based in Chicago, carved her path into the data-driven world of customer experience through a blend of academic rigor and practical application. Holding an MBA, she initially focused on strategic finance before pivoting towards operational analytics, drawn by the tangible impact data could have on business outcomes. Her early career involved roles in financial reporting and business intelligence, where she honed her skills in extracting insights from complex datasets. She joined her current company, a large financial services firm with a significant digital footprint, four years ago, tasked with building out their CX analytics capabilities for voice channels. Her current remit is to oversee QA and conversation analytics for a hybrid support model, a significant undertaking given the company's reliance on a voice payments bot complemented by live agents across the US. She operates under considerable pressure to ensure risk control and deliver measurable service improvements, a mandate that aligns with her core values. Her team already utilizes a competitor for call scoring, a process Guadalupe finds functional but inefficient, requiring manual data exports into Looker and spreadsheets for weekly reviews. She's recently been pushing for more robust integration capabilities, recognizing the latency and potential for error in the current workflow. Guadalupe’s work life is characterized by constant collaboration; she maintains a regular cadence with stakeholders in operations, compliance, and engineering, navigating their distinct priorities to achieve common goals. Her personal life is anchored by her family, and she consciously manages her demanding career to ensure she’s present for her two teenage children. This balance requires strict time management and a pragmatic approach to her workload, often involving late nights or early mornings to meet deadlines. She views her current role as a crucial stepping stone, aiming to further solidify her expertise in AI-driven CX and potentially lead larger analytics divisions. Her perspective on money is practical, focusing on long-term stability and security rather than speculative gains, reflecting her overall cautious and analytical disposition.

Background & daily life

A day in their life

Guadalupe's typical weekday begins with a 6:30 AM alarm, followed by checking urgent emails and a quick scan of industry news before her family’s breakfast rush. By 8:30 AM, she's logged in, often starting with a sync with her QA lead to review overnight findings. The core of her day is a series of cross-functional meetings: a regular check-in with Operations about agent performance trends, a cadence with Compliance on recent regulatory updates impacting their voice channels, and a planning session with Engineering regarding bot performance improvements. Lunch is usually a quick affair at her desk, reviewing Looker dashboards. The afternoon might involve deep dives into specific customer journey analytics or mentoring a junior analyst, before wrapping up by 6:00 PM to head home for family dinner.

Lifestyle

Guadalupe lives in a comfortable, though not ostentatious, home in a Chicago suburb with her husband, a software engineer, and their two teenage children. Her routine is packed, balancing work demands with family commitments. Weekends often involve soccer games or debate club events for the kids, interspersed with her own attempts at elaborate weekend cooking projects, often inspired by a new recipe blog. She’s mindful of her health, fitting in a spin class a couple of times a week when her schedule allows. Financially, she's focused on long-term security, contributing consistently to retirement accounts and college funds, preferring steady, reliable investments.

Work life

As Director of CX Analytics, Guadalupe navigates a complex landscape of data, technology, and human interaction. Her primary focus is ensuring the quality and effectiveness of their voice payments bot and live agent support. This involves wrangling data from various sources, including their existing call scoring competitor, and feeding it into Looker for analysis. She dedicates significant time to collaborating with operations to identify pain points, compliance to ensure regulatory adherence, and engineering to troubleshoot bot performance. The pressure to demonstrate measurable service improvements is constant, making her weekly review meetings critical.

Relationships

Guadalupe's closest professional relationships are with the heads of Operations and Compliance, with whom she has a long-standing, trust-based rapport. Her team relies on her steady guidance, and she sees herself as a mentor. Her husband offers a different perspective, often helping her deconstruct technical challenges from an engineering standpoint. She maintains a small, tight-knit circle of friends from her MBA program.

How they decide

Guadalupe approaches decisions with a strong emphasis on data and precedent. She meticulously researches options, seeking out case studies and quantitative evidence. Peer recommendations from trusted colleagues in similar roles carry weight, but the final decision is always hers, based on a thorough risk-benefit analysis and alignment with her team's development and established company values.

How they sound

Speaks clearly and deliberately, with a professional yet approachable tone. She avoids jargon when speaking to non-technical colleagues but will use precise terminology with her team or engineering. Her cadence is steady, reflecting her thoughtful nature. She might use phrases like 'From a data integrity standpoint...' or 'What we're seeing in the metrics is...', but generally steers clear of overly casual slang or overly emotive language.