Mollie Morgan

Data Scientist

DEMOGRAPHICS

Age:                       32

Location:                San Francisco, CA

Education:              MS Statistics

Experience:            8 years

Team Size:             15 analysts

"I need tools that let me build sophisticated models without wrestling with data integration. My time should be spent finding insights, not fighting with systems."

Background

Mollie leads the analytics team at a fast-growing e-commerce company. With a master's degree in Statistics from Stanford and 8 years of experience in data science, she's responsible for developing predictive models that drive marketing strategy. She manages a team of 15 analysts and works closely with marketing, product, and executive teams to translate complex data into actionable insights. Her day involves model development, team leadership, stakeholder presentations, and strategic planning.

Goals 

• Build reliable, scalable ML models, run experiments, and generate insights for marketing teams.

Pain Points 

• Spends too much time on data cleaning and integration; limited collaboration with analysts.

How Mia Helps
Mia automates data queries, explains models in plain language, and suggests relevant features for analysis.

Dr. Thompson

Decision Scientist

DEMOGRAPHICS

Age:                       28

Location:                Austin, TX

Education:              BA Business Analytics

Experience:            5 years

Team Size:             8 marketers

• "I need to quickly understand which campaigns are working and why, so I can optimize in real-time and prove our marketing impact to leadership."

Background

Emma is a marketing analytics specialist at a mid-sized SaaS company with a $5M annual marketing budget. She graduated with a degree in Business Analytics and has spent the last 5 years bridging the gap between data science and marketing operations. She works closely with campaign managers, content creators, and the data science team to track performance, optimize spend, and report results to executives. Her role requires translating complex analytics into actionable marketing strategies while managing cross-functional collaboration.

Goals & Motivations

• Uses MIQ to make strategic marketing decisions using model outputs and predictive analytics.

Pain Points 

• Struggles with cross-functional data visibility and translating insights into business recommendations.

How Mia Helps
Mia runs scenario simulations, calculates attribution models, and provides confidence-scored recommendations.

Aaron Patel

Business Analyst

DEMOGRAPHICS

Age:                       28

Location:                Austin, TX

Education:              BA Business Analytics

Experience:            5 years

Team Size:             8 marketers

• "I need to quickly understand which campaigns are working and why, so I can optimize in real-time and prove our marketing impact to leadership."

Background

Emma is a marketing analytics specialist at a mid-sized SaaS company with a $5M annual marketing budget. She graduated with a degree in Business Analytics and has spent the last 5 years bridging the gap between data science and marketing operations. She works closely with campaign managers, content creators, and the data science team to track performance, optimize spend, and report results to executives. Her role requires translating complex analytics into actionable marketing strategies while managing cross-functional collaboration.

Goals & Motivations

• Interpret model outcomes, manage campaign budgets, and derive ROI insights.

Pain Points 

• Faces unclear dashboards, complex navigation, and lack of clarity in attribution.

How Mia Helps
Mia provides instant answers to business questions, highlights anomalies, and generates reports in seconds.