How we think about signal quality

Quality over quantity

In market intelligence, there is a persistent temptation to optimize for volume. More signals, more sources, more data points. The assumption is that more information leads to better decisions.

We disagree.

Our experience working with professional teams across communications, strategy, and intelligence functions has taught us that the opposite is often true. Too much unstructured information creates noise, delays decision-making, and erodes trust in the intelligence function itself.

At SigFact, we optimize for signal quality — not signal volume.

What signal quality means to us

We evaluate signal quality across four dimensions:

Source reliability

Not all sources are equal. A company newsroom announcement carries more weight than a social media mention. A regulatory filing is more authoritative than a blog post. We maintain a tiered source architecture that classifies sources by reliability and uses this classification to weight signals accordingly.

Our source tiers:

• Tier 1 — Direct company sources: Newsrooms, investor relations pages, official websites
• Tier 2 — Wire distribution: PR Newswire, Business Wire, GlobeNewswire
• Tier 3 — Regulatory and exchange: Stock exchange filings, regulatory disclosures, annual reports
• Discovery inputs: Official LinkedIn, regional social accounts, industry databases — used to discover signals, then verified against canonical sources

Structural completeness

A useful signal is not just a headline. It includes the company name, event type, date, source, region, and relevant context. We structure every signal into a consistent taxonomy that enables filtering, comparison, and pattern recognition across companies and industries.

Contextual relevance

A signal about a product launch in the semiconductor industry is highly relevant to a team tracking chip manufacturers — and irrelevant to a team focused on consumer retail. Quality means matching signals to the contexts where they create value.

Timeliness

A signal that arrives after the decision window has closed is not intelligence — it is history. We prioritize timely capture and processing of signals from official sources, with automated pipelines that minimize the gap between publication and availability on the platform.

How this shapes the platform

Every design decision at SigFact reflects this quality-first approach:

• We track fewer companies more deeply, rather than casting a wide net with shallow coverage
• We classify and structure every signal before it reaches users
• We maintain strict source hierarchies rather than aggregating everything equally
• We invest in multilingual source coverage to capture signals that English-only platforms miss

The result is a platform where professionals can trust that what they see is relevant, reliable, and structured for action.