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A case study for a women's health application brings explores ai tools across the continium.

• Age: 34

• Location: Austin, Texas (mid-sized tech hub)

• Career: Senior Marketing Manager at a B2B SaaS company

ª Family: Married with two children (ages 6 and 9)

ª Income: $85,000 annually

Summary

Sarah works hybrid (3 days in office, 2 remote) with frequent client calls across time zones. She's ambitious and enjoys her career but struggles with work-life integration. Her days typically start at 6:30 AM and end around 8 PM after family dinner and bedtime routines. She needs something that adapts to her reality rather than requiring her to adapt to it - intelligent enough to suggest a 15-minute workout when her calendar is packed, but robust enough to offer a full routine when she has a rare free Saturday morning.

Goals & Motivations:

Primary: Have energy to keep up with kids and demanding job

Secondary: Fit back into pre-pregnancy clothes, feel confident in professional settings

Long-term: Model healthy habits for children, prevent health issues she sees in older relatives

Current Solutions:

  • Fitness: Sporadically uses free YouTube workout videos (Fitness Blender, Yoga with Adriene) but struggles to find age-appropriate content for her fitness level

  • Nutrition: Uses MyFitnessPal inconsistently for calorie tracking, mostly relies on "common sense" eating

  • Health Tracking: Apple Watch for basic step counting and heart rate, but doesn't leverage most features

  • Planning: Keeps a family calendar in Google Calendar but fitness isn't integrated - treats it as separate "nice to have"

Fitness Background:

  • Previous Experience: Was fairly active in college (intramural sports, regular gym attendance)

  • Current Level: Beginner to intermediate - understands basic fitness principles but hasn't maintained consistency in years

  • Knowledge Gaps: Unsure about proper form for strength training, overwhelmed by conflicting nutrition advice online

  • Physical Limitations: Occasional lower back pain from desk work, generally healthy but feels "out of shape"

Deep Dive Market Analysis

• competitors that differentiate on service

• Onboarding

• Top 10 Direct Competitors

• partnerships or ecosystem plays

Deep Dive Market Analysis

Landscape & Sizing

TAM, SAM, and SOM Analysis

• Current and Projected Annual Growth Rates

• Market Segmentation Analysis

• Key Adoption Triggers

• Vendor Landscape Fragmentation Analysis

Competitive Terrian

• Top 10 Direct Competitors

• partnerships or ecosystem plays

• competitors that differentiate on service

• Onboarding

Customer Signals and needs

• Pain Points

• Feature Requests, Complaints & Sentiments

• Triggers that drive evaluation

• Personas that buzz

• Enablaling technologies that cause buzz

• Enablaling technologies that cause buzz

• macrotrends shifting demand

Technology $ trend scanning

• COMPUTER VISION & REAL-TIME POSE ESTIMATION

• MACRO-TRENDS SHIFTING DEMAND

• ENABLING TECHNOLOGIES GAINING TRACTION

• RECENT PATENT GRANTS & BREAKTHROUGH TECHNOLOGIES

• ADJACENT PLATFORM SHIFTS RESHAPING CAPABILITIES

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Solution