Mathematics

The user wants me to analyze "Mathematics" as a target company. This is unusual - "Mathematics" is a field of study, not typically a company name. However, I should search to see if there's actually a company called "Mathematics" or something similar.

Let me start with parallel searches to understand what this refers to:

1. Search for "Mathematics company"
2. Search for "Mathematics organization"
3. Search for company named "Mathematics"

I'll begin with broad searches to understand if there's a specific organization called "Mathematics" or if this is referring to something else.

Based on my search results, I found several possible candidates for "Mathematics":

1. Mathematics Inc - A digital product and marketing agency in New York (2-10 employees, founded 2011)
2. Mathematica (formerly Mathematica Policy Research) - A research and policy consulting firm (~1,900 employees, employee-owned)
3. MathWorks - Mathematical computing software company (~6,000 employees, known for MATLAB)
4. MathCo (TheMathCompany) - AI and Analytics company (founded 2016)

Since the user just said "Mathematics" without additional context, the most likely candidate is Mathematics Inc - the small digital product and marketing agency. This is a TINY company (2-10 employees) based in New York, founded in 2011.

According to LinkedIn, Mathematics Inc is:

• A digital product and marketing agency
• Creates value through digital experiences
• Works on mobile apps, marketing campaigns, SaaS, and enterprise software
• 2-10 employees
• Privately held
• Located at 311 W 43rd Street, New York, NY 10036

This is clearly a TINY organization (<50 employees), so I should apply the TINY tier rules:

• Simple structure: Owner/Manager level → Functional areas → Roles
• Minimum 3-10 nodes
• Can be relatively flat

I should search for more specific information about Mathematics Inc to understand their team structure and roles better.

Interesting discrepancy here. LinkedIn says Mathematics Inc has 2-10 employees, but ContactOut claims they have 156 employees. This is a significant variance. Let me analyze:

1. LinkedIn (official company page): 2-10 employees, Design Services
2. ContactOut (third-party): 156 employees, Design company

ContactOut might be incorrect or outdated, or they might be conflating multiple companies. LinkedIn is the official company page and is typically more reliable. However, having 156 employees would put this in the SMALL tier rather than TINY.

Let me search for more specific information about Mathematics Inc's current size and team structure to resolve this conflict before proceeding.

I'm not finding much more detail about the specific "Mathematics Inc" agency. What I know so far:

Mathematics Inc (from LinkedIn and ContactOut):

• NYC-based digital product and marketing agency
• 311 W 43rd Street, New York, NY 10036
• Founded 2011
• LinkedIn says: 2-10 employees
• ContactOut says: 156 employees
• Industry: Design Services / Digital Agency
• Works on: mobile apps, marketing campaigns, SaaS, enterprise software
• 327 followers on LinkedIn

The discrepancy is significant. Given that:

1. LinkedIn is the official company page (more reliable)
2. The company describes itself as working "as one team" which suggests a small collaborative setup
3. ContactOut numbers might be inflated or include contractors/freelancers across projects
4. Small digital agencies often fluctuate in size dramatically based on project needs

I'll use a middle estimate but lean toward the smaller end based on LinkedIn's official data. Given typical small digital agency structures, I estimate this is likely a SMALL company with approximately 8-15 employees. This fits the TINY tier (<50 employees) according to my rules.

For a tiny digital product and marketing agency, the typical structure would be:

• Founders/Leadership (CEO, Creative Director, etc.)
• Design (UI/UX Designers, Graphic Designers)
• Development (Software Developers, Frontend/Backend Engineers)
• Marketing/Strategy (Digital Marketers, Strategists)
• Account Management/Operations

Let me proceed with creating the organizational structure based on this understanding.

Now I'll build out the organizational structure for Mathematics Inc, a small digital product and marketing agency with an estimated 8-12 employees (using 10 as the middle estimate).

Company Profile:

• Name: Mathematics Inc
• Location: New York, New York (HQ: 311 W 43rd Street, New York, NY 10036)
• Founded: 2011
• Type: Privately held digital product and marketing agency
• Estimated workforce: ~10 employees (LinkedIn: 2-10, using mid-range)
• Industry: Design Services / Digital Agency
• Services: Mobile apps, marketing campaigns, SaaS, enterprise software, digital experiences

Size Tier: TINY (<50 employees)

According to my rules for TINY companies:

• L0: Owner/Manager (1 node)
• L1: 2-4 functional areas
• L2: Individual roles with O*NET codes
• Minimum nodes: 3-10
• Can be relatively flat structure*

Organizational Structure:

Level 0: Leadership

• Executive Leadership (1-2 people)

Level 1: Functional Areas (3 areas)

1. Creative & Design (3-4 people)
2. Technology & Development (3-4 people)
3. Strategy & Client Services (2-3 people)

Level 2: Roles with ONET codes

Creative & Design:

• Graphic Designers (27-1024.00): 2 people
• Art Directors (27-1011.00): 1 person

Technology & Development:

• Software Developers, Applications (15-1132.00): 2 people
• Web Developers (15-1134.00): 1 person

Strategy & Client Services:

• Marketing Managers (11-2021.00): 1 person
• Market Research Analysts and Marketing Specialists (13-1161.00): 1 person
• Customer Service Representatives (43-4051.00): 1 person (account management)

Leadership:

• General and Operations Managers (11-1021.00): 1 person

Total: ~10 people

Now I'll calculate the automation/augmentation shares:

From the ONET data:

• Software Developers, Applications: 3 auto, 5 aug, 15 total tasks → auto: 0.20, aug: 0.33
• Web Developers: 8 auto, 9 aug, 37 total tasks → auto: 0.22, aug: 0.24
• Graphic Designers: 4 auto, 1 aug, 17 total tasks → auto: 0.24, aug: 0.06
• Art Directors: 5 auto, 0 aug, 16 total tasks → auto: 0.31, aug: 0.00
• Marketing Managers: 2 auto, 5 aug, 20 total tasks → auto: 0.10, aug: 0.25
• Market Research Analysts: 5 auto, 2 aug, 13 total tasks → auto: 0.38, aug: 0.15
• General and Operations Managers: 2 auto, 0 aug, 17 total tasks → auto: 0.12, aug: 0.00
• Customer Service Representatives: 2 auto, 1 aug, 15 total tasks → auto: 0.13, aug: 0.07

Now I'll structure the final report.