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Methodology

How Vellum produces intelligence clients can trust

Vellum's methodology is designed to make analysis more useful, more transparent, and more accountable to evidence.

Every Vellum output is built around a small number of non-negotiable standards

Exact dates

We anchor developments in time so clients can understand what happened, when it happened, and how the picture is changing. Precision in dating is not a formality — it is how change becomes trackable.

Named actors

Where relevant, we identify the institutions, officials, companies, regulators, and other actors shaping the issue. Anonymous attribution is used only where sourcing genuinely requires it.

Source discipline

We rely on verifiable material and treat evidence carefully. Attribution matters. We do not present inference as fact or assessment as certainty.

Current law vs proposed change

We distinguish between enacted measures, draft proposals, political intent, enforcement signals, and implementation uncertainty. These categories carry very different operational significance.

Fact, inference, uncertainty

We separate what is directly supported by the evidence from what is assessed and what remains unclear. Clients should always be able to understand not just the conclusion, but the confidence behind it.

Client-specific relevance

We do not stop at describing developments. We explain why they matter for the client's operating environment, legal position, and decision horizon.

What a Vellum output may include

  • A clearly defined coverage window
  • Key developments within that period
  • What changed since the last cycle
  • Direct implications for the client
  • Confidence levels or confidence language
  • Near-term decision points
  • Issues to watch over the next 30, 60, and 90 days

This approach helps clients

  • Track change with more precision
  • Distinguish signal from noise
  • Understand the strength of an assessment
  • Make better-informed decisions in uncertain environments

Vellum is designed to be clear about both knowledge and limits. Strong intelligence does not depend on pretending uncertainty does not exist. It depends on handling uncertainty honestly and using evidence with discipline.

See how the method appears in the final product