The research method

From a company name to context you can review.

One fictional company, four research decisions. Follow identity, comparable fields, professional relationships, and explicit unknowns into a useful handoff.

Vencavo has 299M+ contact records and 25M+ company records. This walkthrough uses fictional examples; it does not query the datasets or a live API/MCP service.

Stage by stage

What happens around the record.

Stage 01

Identify

Resolve the company you mean before adding more context.

Local sample lookup

Start with

forma.example

The research decision

Use the domain to locate the matching fictional company. In real research, check whether that identifier refers to a parent company, subsidiary, or product.

Matched fictional identityFictional example
Company
Forma Labs
Domain
forma.example
Source
fictional-preview
Production verification
Not supplied

Keep the evidence in view

The local lookup resolves a fixture. It does not verify a real legal entity or establish ownership of a production domain.

Before moving on

Does the identifier belong to the business I intend to research?

Try a domain lookup
Stage 02

Structure

Put comparable fields around the company.

Fictional field example

Start with

Forma Labs · forma.example

The research decision

Keep the same field meanings across the research set. Preserve employee ranges as ranges and keep a missing value distinct from an observed zero.

Comparable sample fieldsFictional example
Industry
SaaS
Location
San Francisco, US
Employee range
51–200
Revenue
Not supplied

Keep the evidence in view

These sample fields can frame a shortlist. They do not establish product fit, growth, revenue, or buying intent.

Before moving on

Am I using the field as defined, or asking it to prove something else?

Review field provenance
Stage 03

Review relationships

Separate professional context from claims that still need evidence.

Illustrative relationship

Start with

Maya Chen · Forma Labs

The research decision

Read the role and department alongside the company. Establish reporting lines, current employment, and decision authority separately before relying on them.

Fictional relationship reviewFictional example
Professional
Maya Chen
Role
VP Sales
Department
Sales
Company
Forma Labs
Reporting line
Not supplied
Buying authority
Not established

Keep the evidence in view

The role is fictional. A department is not a verified reporting line, and a senior title does not establish buying authority. Review each relationship against evidence for that specific claim.

Before moving on

Which relationships are supplied, and which still need an independent source?

Map account relationships
Stage 04

Handoff

Carry the record and its limits into the next workflow.

Sample CSV · illustrative API/MCP contract

Start with

A reviewed company record and the questions still open

The research decision

Choose a useful output shape and retain the source label. Keep unknown verification dates explicit so the next person or tool can inspect the limits.

Actual fictional company exampleFictional example
{
  "name": "Forma Labs",
  "domain": "forma.example",
  "industry": "SaaS",
  "location": "San Francisco, US",
  "employees": "51–200",
  "source": "fictional-preview",
  "production_verified_at": null
}

Keep the evidence in view

The JSON above is formatted from the canonical sample. CSV downloads work. API/MCP requests, permissions, and automated delivery are not connected to this walkthrough.

Before moving on

Can the next person distinguish the observed fields, the unknowns, and the next verification step?

Explore delivery formats
Put the method to work

Keep the evidence with the decision.

Use the company-research worksheet to keep observations, sources, interpretations, and open questions separate. The record supplies context; the research brief explains what you plan to do next.

Find the companies.
Understand the context.

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