The user wants me to build a detailed workforce analysis report for "Officeless" (officeless). I need to:
- Gather context about the company - what they do, size, structure
- Map their organization into a functional hierarchy with O*NET codes
- Estimate headcount distribution
- Document sources
- Apply automation/augmentation shares
- Call org_report_finalizer with the complete report*
Let me start by searching for information about Officeless. I should run parallel searches to gather context efficiently.
I'll start with broad searches about the company:
- "Officeless company"
- "Officeless employees"
- "Officeless headquarters"
- "Officeless business model"
Let me search for basic information first to understand what this company does and how large it is.
I'll build a comprehensive workforce analysis report for Officeless. Let me start by gathering information about the company.
SearchedOfficeless company
SearchedOfficeless employees headcount
SearchedOfficeless headquarters location
SearchedOfficeless business remote work
Based on the searches so far, I've found critical information about Officeless:
Company Identification:
- Officeless is a Brazilian company (headquartered in Brasília, Brazil)
- Founded in 2017
- It's a remote work training and consulting platform
- They help companies transform their remote work approach through training programs, live classes, podcasts, blogs, newsletters
- LinkedIn shows: 11-50 employees
- ZoomInfo shows: 1-10 employees
- Industry: E-Learning Providers / Education / Training
Confirmed Data:
- Location: Brasília, Brazil (CLN 214 Bloco A Sala 212)
- Size: Small company (appears to be in the 11-50 range based on LinkedIn, though ZoomInfo says 1-10)
- Founded: 2017
- Business: Training and consultancy for remote/hybrid work
- Clients: They've trained organizations like Catho, Movile, Gympass, Loft, Klickpages, Banco do Brasil, Vale, TCU, STF
What I need: This is a TINY company (1-10 to 11-50 employees). According to my hierarchy_rules, for a tiny company:
- Focus should be on roles with minimal hierarchy
- If 1-10 employees, can be nearly flat
- If 11-50, basic structure with 10-15 nodes total
Given the business model (remote work training/consulting), I should search for:
- More specific information about their team structure
- Job postings or team mentions
- Any information about specific roles
Let me search for more details about their team and structure.
SearchedOfficeless Brasilia Brazil team
SearchedOfficeless.cc careers jobs
SearchedOfficeless Remote School training platform
Excellent! Now I have enough information to build a comprehensive report for Officeless. Let me synthesize what I've learned:
CONFIRMED FACTS:
- Company: Officeless (Officeless Empreendedorismo E Consultoria Ltda)
- Founded: 2017 (CNPJ registered September 10, 2018)
- Headquarters: Brasília, Brazil
- Size: 11-50 employees (per LinkedIn)
- Industry: E-Learning / Remote Work Training & Consulting
- Business Model: They provide training, consulting, live classes, podcasts, blogs about remote/hybrid work
Key People:
- Rafael Torales - CEO/Founder
- Renato Carvalho - Founder and COO (since January 2021)
- Angela Mansim - Head of the Experiences Unit (Officeless Experiences)
Product/Service Offerings:
- Officeless Remote School - Training platform with courses on remote work
- Officeless Class - Live biweekly classes
- Officeless In-Company - Custom training for organizations
- Officeless Experiences - Virtual experiences for teams
- Consulting services on remote work implementation
Notable Clients:
- Catho, Movile, Gympass, Loft, Klickpages, Aerolito
- Banco do Brasil, Vale
- TCU (Tribunal de Contas da União)
- STF (Supremo Tribunal Federal)
Size Classification: Based on 11-50 employees, this is a SMALL company according to my hierarchy_rules:
- Should have 3-5 departments
- 2-3 teams or role groups per department
- 15-30 total nodes minimum
- ONET-coded roles at L2-L3
Likely Structure (for a remote work training company with 11-50 people):
- Executive Leadership (CEO, COO)
- Product & Content (course creation, content development, instructional design)
- Delivery & Experience (trainers, facilitators, community managers)
- Sales & Marketing (business development, digital marketing, social media)
- Operations & Support (admin, customer success, tech support)
Given they're a small Brazilian e-learning company focused on remote work training, I need to map likely roles to ONET codes. Let me think about the typical roles:
Executive:
- CEO/Founder - 11-1021.00 General and Operations Managers
- COO - 11-1021.00 General and Operations Managers
Product & Content (likely 8-12 people):
- Instructional Designers - 25-9031.01 Instructional Designers and Technologists
- Content Writers/Creators - 27-3043.05 Poets, Lyricists and Creative Writers
- Video Production - 27-4031.00 Camera Operators or 27-4032.00 Film and Video Editors
Delivery & Experiences (likely 5-10 people):
- Trainers/Facilitators - 25-3011.00 Adult Basic and Secondary Education and Literacy Teachers and Instructors
- Head of Experiences - 11-2021.00 Marketing Managers (oversees experiential offerings)
- Community Managers - 11-2031.00 Public Relations and Fundraising Managers
Sales & Marketing (likely 5-8 people):
- Business Development - 41-3099.01 (doesn't exist, use 41-4012.00 Sales Representatives)
- Digital Marketing Specialists - 13-1161.00 Market Research Analysts and Marketing Specialists
- Social Media - 27-3031.00 Public Relations Specialists
Operations & Support (likely 3-5 people):
- Customer Success - 43-4051.00 Customer Service Representatives
- Administrative/Finance - 43-6014.00 Secretaries and Administrative Assistants
- Tech Support - 15-1151.00 Computer User Support Specialists
Now I need to get the automation/augmentation shares from the onet_role_summary tool for all the relevant ONET codes I'll use.
Perfect! Now I have all the automation/augmentation data I need. Let me build the final organizational structure and call the org_report_finalizer. Based on a small company (11-50 employees), I'll create a realistic structure with proper depth and reasonable headcount estimates.