Define Your Mapping Scope
The first mistake in hierarchy mapping is trying to map everything. A FTSE 100 company has thousands of employees — you do not need all of them. Define your scope before you start researching:
Executive search mandate
Map two levels above and two levels below the vacancy. For a CFO hire, that means the CEO and board above, and the VP Finance, FP&A Director, and Group Controller below.
Competitive intelligence
Map the top three levels (C-suite, VP, Director) across five to fifteen competitor companies. Focus on the function relevant to your mandate — the entire organisation is rarely needed.
Due diligence
Map the full senior leadership team with a focus on key-person risk, reporting line clarity, and succession depth. Acquirers want to know who is critical and who is replaceable.
Internal restructuring
Map the current state of the organisation at all levels affected by the change. This requires internal HR data — it is the one scenario where public sources are not the primary input.
Scoping saves time and produces better charts. A focused three-level map of the right part of the organisation is always more useful than a sprawling attempt to capture everything.
Primary Data Sources for Hierarchy Mapping
The reliability of your hierarchy chart depends on the quality and recency of your source data. Here are the six primary sources, in order of reliability for UK and US companies:
1. Regulatory Filings
Companies House (UK) and SEC EDGAR (US) are the gold standard for verified director-level data. UK companies must file an annual confirmation statement listing all directors and persons with significant control. US public companies file proxy statements (DEF 14A) listing named executive officers with compensation data.
Limitation: Filings only cover statutory directors and named executives — typically 5-15 people per company. You will need other sources for VP and Director levels.
2. LinkedIn
The most comprehensive source for corporate hierarchies below board level. Search by company, filter by seniority, and build your map person by person. LinkedIn Sales Navigator is particularly useful for filtering by function and level.
Limitation: Titles are self-reported. People do not always update promptly after promotions or departures. Reporting lines must be inferred from job descriptions, not stated explicitly.
3. Annual Reports and Investor Materials
Public companies publish leadership structures in annual reports, investor presentations, and governance sections of their websites. These are board-approved and relatively reliable, though they may be up to 12 months old at the time you access them.
Best for: Validating C-suite membership and board composition. Cross-reference with LinkedIn to check for recent changes.
4. Company Websites, Press Releases, and News
Leadership pages, press releases announcing appointments, and business media coverage all provide useful data points. These are best used for validation and for catching recent changes that have not yet appeared in annual reports or been updated on LinkedIn.
Inferring Reporting Lines When Data Is Incomplete
In practice, you will rarely find explicit reporting line data. You know the titles and departments, but the “reports to” relationship must be inferred. Here are the rules that work:
Title seniority hierarchy
C-level reports to CEO (or in some cases directly to the board). SVP/VP reports to C-level in their function. Director reports to VP. Senior Manager reports to Director. This is the default assumption unless evidence suggests otherwise.
Functional grouping
People in the same function (Finance, Engineering, Marketing) typically report up through the same chain. The CFO does not usually have Engineering Directors reporting to them. Use function to group people before establishing vertical relationships.
Team size and scope indicators
LinkedIn job descriptions often mention team size ("leading a team of 40") or scope ("responsible for EMEA operations"). These indicators help you distinguish between a VP running a business unit and a VP with a staff of three.
Tenure and appointment timing
If a new CTO was appointed six months ago and three senior engineers joined in the following two months, those engineers likely report to the CTO. Appointment timing helps you identify recently formed teams.
Geographic and divisional structure
Global companies often have divisional leaders (CEO EMEA, President Americas) who sit between the group CEO and functional leaders. Look for geographic or business unit prefixes in titles to identify these intermediate layers.
Always mark inferred relationships as such. A confidence indicator next to each reporting line (confirmed / likely / uncertain) protects your credibility when the chart is challenged.
Structuring Data for Charting
Once your research is complete, you need to structure it in a format that can be converted into a visual chart. The simplest and most portable format is a CSV with these columns:
| Column | Required | Example |
|---|---|---|
| Name | Yes | Sarah Chen |
| Title | Yes | Chief Financial Officer |
| Reports To | Yes | James Morrison |
| Department | Recommended | Finance |
| Level | Optional | L1 (C-Suite) |
| Location | Optional | London |
| Tenure | Optional | 2022-present |
| Confidence | Optional | Confirmed / Likely / Uncertain |
The “Reports To” column is the most important — it defines the hierarchy. Every person in the chart must reference exactly one person in the “Reports To” column (except the CEO, who has no manager). OrgBrief's AI can handle messy data — misspelled names, inconsistent title formats, missing departments — but a clean CSV produces a better chart faster.
Validation: The Step Most People Skip
An inaccurate hierarchy chart is worse than no chart at all — it creates false confidence. Before you present or publish any mapping, validate it:
Cross-reference every name against two sources
If LinkedIn says someone is VP of Marketing and the company website lists them as Director of Marketing, investigate. One of the sources is wrong or out of date.
Check for recent departures
Search for "[name] leaves [company]" and check whether their LinkedIn still shows the role as current. People who have left but not updated their profile are a common source of stale data.
Verify the CEO reports to the board
A surprisingly common error: charting the CEO as a standalone node with no upward connection. If the company has a board or parent company, show that relationship.
Count the team
If you know the company has 200 employees and your chart only shows 8 people, you are either missing layers or your scope is narrower than intended. Make sure the scope matches the deliverable.
Special Considerations for Different Company Types
Hierarchy mapping is not one-size-fits-all. Different company types present different challenges:
PE-backed companies
The operating partner or board observer from the PE firm is often more influential than their title suggests. Map the portfolio company leadership AND the PE firm's involvement — investment director, operating partner, and board seats. The real hierarchy often extends beyond the company itself.
Family-owned businesses
Family members may hold titles that overstate or understate their actual influence. The founder's son listed as "Head of Strategy" may effectively be the COO. Map the formal hierarchy but note family relationships separately — they are critical context for executive search.
Matrix organisations
Global companies with both geographic and functional reporting lines are the hardest to map cleanly. Choose a primary hierarchy (usually functional) and represent geographic reporting as dotted lines. Avoid trying to show both simultaneously — the chart becomes unreadable.
Recently merged companies
Post-merger organisations often have duplicate roles, unclear reporting lines, and transitional structures. Map the intended structure (from the integration plan) alongside the current state. Note which roles are transitional and which are permanent.
How OrgBrief Accelerates Hierarchy Mapping
OrgBrief was built to handle the messy reality of hierarchy mapping. The research and validation require human judgement — but the structuring, layout, and formatting should not take hours:
- 1Upload your research as a CSV — even if the data is incomplete, inconsistently formatted, or contains gaps.
- 2The AI infers the hierarchy from titles, department labels, and reporting relationships. Confidence scores flag uncertain connections.
- 3Review and adjust: drag-and-drop to fix any relationships the AI got wrong. Add missing people manually.
- 4Choose a presentation format: Editorial Classic for client deliverables, Clean Light for internal research.
- 5White-label with your firm branding on the Professional plan. Export as PDF or editable PowerPoint.
The time saving is not in the research — that still requires expertise and judgement. The saving is in the last mile: turning validated research into a professional chart that clients trust and boards reference. That step goes from hours to minutes.
Frequently Asked Questions
What is company hierarchy mapping?
Company hierarchy mapping is the process of identifying every person in a leadership team, determining who reports to whom, and representing those relationships visually in an organisational chart. It is used in executive search, due diligence, competitive intelligence, and internal restructuring. The output is typically a hierarchy chart showing reporting lines from the CEO or board down through the management layers.
How long does it take to map a company hierarchy from scratch?
For a mid-market company (200-2,000 employees), mapping the top three levels typically takes 2-4 hours using public data and LinkedIn. For a large enterprise with complex matrix structures, allow 1-2 days. Using AI-assisted tools like OrgBrief reduces the formatting and layout time to minutes — the research and validation are what take the real time.
Can I map a private company that does not publish its leadership team?
Yes, but it requires more detective work. LinkedIn remains the primary source. Supplement with Companies House filings (for UK companies), conference speaker lists, industry awards, press releases, and patent filings. Private equity-backed companies often have investor press releases that name key management. The chart will have more uncertainty flags, but a well-researched map of a private company is still significantly more useful than no map at all.
What is the difference between a hierarchy chart and an org chart?
In practice, the terms are used interchangeably. Strictly speaking, a hierarchy chart emphasises reporting lines and seniority levels, while an org chart may also include functional groupings, dotted-line relationships, and non-hierarchical structures like matrix organisations. For executive search purposes, what clients want is a hierarchy chart — who reports to whom, with department context.
How do I handle matrix organisations where people report to multiple managers?
Use solid lines for primary reporting relationships and dotted lines for secondary ones. In your CSV data, designate one "reports to" field for the primary relationship and add a "secondary reports to" column for matrix lines. OrgBrief supports both solid and dotted reporting lines in its visual output.
Map any organisation in minutes, not hours
Upload your research data. OrgBrief infers the hierarchy. Review, brand, and export — ready for the client deck or the due diligence file.
Related guides
Org Charts for Executive Search: Win More Mandates
How search firms use org charts as a strategic weapon from pitch to placement.
C-Suite Org Structure: Who Reports to Whom
A reference guide to C-suite reporting lines across different company types.
Due Diligence Org Analysis: What Acquirers Look For
How PE firms and corporate acquirers analyse organisational structures during M&A.