Trust, in plain English

Evidence first.
Interpretation second.

Flags exists to answer one practical question: what does a company event mean for someone considering working there? This is how we keep that answer useful, cautious and traceable.

FR
Editorial authorship

Flags Research Desk

Our research workflow combines AI-assisted discovery and drafting with source checks and editorial review. Articles are published under the Flags Research Desk because the analysis follows a shared methodology rather than one writer’s personal opinion.

Our process

From public event to candidate intelligence.

Automation helps us monitor more companies. It does not replace evidence, attribution or a clear distinction between fact and interpretation.

01

Discover material events

We monitor layoffs, hiring, investment, financial pressure, acquisitions, restructuring, product expansion and other events that can affect employees.

02

Verify the underlying claim

We prefer company announcements, regulatory filings and official statements. When those are unavailable, we use reputable reporting and identify the source and date.

03

Separate facts from interpretation

The summary reflects what the source reports. “What this means for employees” is a cautious interpretation, not a prediction or guarantee.

04

Review before publication

Each published signal requires a source URL, event date, category, confidence level and a practical interview question. Weak or duplicate events are skipped.

05

Connect events over time

Company outlooks combine multiple signals and weight recency and source confidence. They are decision aids—not ratings of individual managers, teams or culture.

Editorial standards

What readers can expect

Sources stay visible

Every analysis links to the original public source.

Uncertainty stays visible

Confidence labels and careful language show where the evidence has limits.

AI use is disclosed

AI can assist research and drafting; it is not presented as an eyewitness or source.